Text-overlap comparison

Teachers' perspectives on artificial intelligence in education ↔ BALANCING INNOVATION AND ETHICS: EDUCATORS' PERSPECTIVES ON THE ROLE OF AI IN EDUCATION

7 candidate passages (embedding cosine similarity 0.88–1.00) identified this pair for review. The exhibits below are exact word-shingle matches instead — a multi-word verbatim run is the more convincing evidence of shared text than embedding similarity, with the matched span highlighted.

PAPER A

Teachers' perspectives on artificial intelligence in education

(authors unknown) · 2024

doi.org/10.25082/amler.2024.01.005
↔

PAPER B

BALANCING INNOVATION AND ETHICS: EDUCATORS' PERSPECTIVES ON THE ROLE OF AI IN EDUCATION

(authors unknown) · 2024

doi.org/10.37547/tajssei/volume06issue09-14
candidate passages 7similarity range 0.879–1.000median LCS ratio 0.61 exact shingle runs (10+ words) 48

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48 runs found

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exact run 24 words LCS 0.075-gram Jaccard 0.07

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Keywords: artificial intelligence, teacher views, AI in education 1 Introduction In an era marked by unprecedented technological advancements, the field of education has witnessed a paradigm shift driven by Artificial Intelligence (AI) (Karaca & Kılcan, 2023). AI-powered tools and technologies have the potential to personalize learning, provide real-time feedback, and automate tasks that can free up teachers to focus on more important things, such as building relationships with students and providing individualized instruction (Abell, 2006). As AI continues to weave its way into classrooms and educational institutions worldwide, it is essential to understand educators’ perspectives on this transformative force. This research explores teachers’ nuanced views and attitudes toward integrating AI into education, focusing on their perceptions, preferences, and apprehensions. The transformative power of AI in education is undeniable (Fullan et al., 2023). With the capacity to analyze vast datasets, adapt instruction to individual student needs, and automate administrative tasks, AI promises to enhance educational outcomes and make learning more personalized and accessible. However, this potential is accompanied by ethical and privacy concerns that raise crucial questions about the responsible adoption of AI in educational settings. As AI continues to revolutionize the teaching and learning process, it is essential to comprehend educators’ viewpoints. Alam (2021) states that comprehending educators’ perspectives on AI in the teaching and learning process is crucial, given educators’ pivotal role in shaping the educational landscape for future generations. This study comprehensively examines teachers’ perspectives by administrating the Opinion Scale on Artificial Intelligence in Education. By engaging 74 teachers in interviews, we seek to provide a multifaceted understanding of how educators perceive AI’s role in their classrooms and institutions. The findings presented in this research illuminate the duality of enthusiasm and caution surrounding AI in education, highlighting its potential and the ethical and privacy considerations that demand careful attention. The research is structured first to explore the positive aspects teachers associate with AI in education. Subsequently, it delves into the ethical and privacy concerns raised by educators. Through this balanced analysis, we aim to contribute to the ongoing discourse on AI’s integration in education and advocate for a holistic approach that harnesses the benefits of AI while safeguarding the values and rights integral to the educational process.

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Hasan Yusuf Ali Bilkent University, Turkey Okon, Ofonime Ekeng University of Uyo, Uyo, Akwa Ibom State, Nigeria INTRODUCTION In an age defined by rapid technological progress, education is undergoing a significant transformation, largely driven by the advent of Artificial Intelligence (AI) (Karaca & Kılcan, 2023). AI-based tools and technologies offer the potential to revolutionize the educational landscape by personalizing the learning experience, providing instant feedback, and automating routine tasks. This automation can enable teachers to dedicate more time to essential aspects of education, such as fostering relationships with students and delivering tailored instruction (Abell, 2006). As Artificial Intelligence (AI) becomes increasingly embedded in classrooms and educational institutions globally, understanding educators' perspectives on this transformative technology is crucial. This research delves into teachers' nuanced views and attitudes toward AI's 129 https://www.theamericanjournals.com/index.php/tajssei integration into education, examining their perceptions, preferences, and concerns. AI's potential to revolutionize education is significant (Fullan et al., 2023). With its ability to analyze large datasets, tailor instruction to individual student needs, and automate administrative tasks, AI promises to enhance educational outcomes and make learning more personalized and accessible. However, this promise is not without its challenges. Ethical dilemmas and privacy concerns pose critical questions about the responsible use of AI in educational settings. As AI continues to reshape the teaching and learning process, it becomes essential to understand educators' perspectives, given their vital role in shaping the future of education (Alam, 2021). This study provides a comprehensive examination of teachers' perspectives by administering the Opinion Scale on Artificial Intelligence in Education. Through interviews with 74 educators, the research seeks to offer a well-rounded understanding of how teachers perceive AI's role in their classrooms and institutions. The findings highlight a dual response to AI in education—both enthusiasm for its potential and caution regarding the ethical and privacy issues it raises. The research is organized to first explore the positive aspects that teachers associate with AI in education. It then addresses the ethical and privacy concerns that educators have voiced. Through this balanced analysis, the study contributes to the ongoing dialogue on AI's role in education and advocates for a holistic approach that leverages AI's benefits while protecting the core values and rights inherent in the educational process.

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Advances in Mobile Learning Educational Research • SyncSci Publishing 931 of 939 Volume 4 Issue 1, 2024 Derya Uygun they should be provided with the training and support they need to use AI effectively in the classroom. 1.1 Literature review AI technologies encompass a range of computer systems and algorithms designed to simulate human intelligence, including the ability to learn from data, reason, solve problems, and interact with the environment (Kok et al., 2009). Artificial Intelligence (AI) is increasingly being integrated into educational settings, prompting a need to understand teachers’ views on this technological advancement (Karakose et al., 2023). Integrating AI into classrooms is reshaping teachers’ roles and attitudes towards technology. Several studies have examined how educators perceive AI and the implications of AI technologies for their profession (Athanassopoulos et al., 2023). Polak et al. (2022) employed the Will, Skill, Tool model to guide their study to facilitate AI integration in education. They identified the need for an AI-supportive online educational platform through focus groups and surveys. Results showed that teachers had a positive attitude and strong motivation for AI education (Will factor). While they possessed basic digital skills, their AI-related skills were limited (Skill factor). Resource availability was generally not an issue, but further research on tool readiness is recommended. The study of Chounta et al. (2022) aimed to explore how Estonian K-12 teachers perceive AI and its relevance within the Fairness, Accountability, Transparency, and Ethics (FATE) framework. Through a survey of 140 teachers, they found that although educators have limited knowledge about AI, they see it as a valuable opportunity for education. The study highlights the need for AI support to improve teacher productivity. Moreover, teachers see AI as a tool to help them access and use multilingual content. Kim and Kim (2022) investigated teachers’ perceptions of an AI-enhanced scaffolding system for STEM education. Most STEM teachers viewed AI positively for enhancing scaffolding support. However, concerns were raised about changes in the teacher’s role in the classroom and the need for transparency in AI decisionmaking. The studies on teachers’ views on AI in education have made valuable contributions, but there are still several gaps and areas for further exploration (Papadakis et al., 2023). Many studies need to sufficiently address the diversity of educational contexts and demographics of teachers. There is a need for research that considers variations in school types, grade levels, and teachers’ workspaces to provide a more comprehensive picture. This research aims to investigate educators’ perspectives regarding AI and ascertain if these perspectives differ based on their teaching years and subject specializations.

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technologies with a keen understanding of teachers' perspectives and concerns. Involving teachers in the development and deployment of AI in education from the outset is essential to ensure these technologies meet the needs of both educators and students. Furthermore, providing teachers with adequate training and support is vital for the effective integration of AI in the classroom, enabling them to harness its full potential to enhance teaching and learning. AI technologies consist of various computer systems and algorithms designed to replicate human intelligence, including capabilities like learning from data, reasoning, problem-solving, and interacting with the environment (Kok et al., 2009). As AI becomes more integrated into educational environments, understanding teachers' perspectives on this technological shift is increasingly important (Karakose et al., 2023). The introduction of AI in classrooms is transforming teachers' roles and their attitudes toward technology. Numerous studies have explored educators' perceptions of AI and its impact on their profession (Athanassopoulos et al., 2023). Polak et al. (2022) used the Will, Skill, Tool model to examine how AI can be effectively integrated into education. Through focus groups and surveys, they identified the need for an AIsupportive online educational platform. The findings revealed that teachers generally have a positive attitude and strong motivation for AI in education (Will factor). Although they have basic digital skills, their proficiency in AI-specific skills was found to be limited (Skill factor). While resources were largely accessible, further research on the readiness of tools is advised. Chounta et al. (2022) focused on how Estonian K12 teachers perceive AI, using the Fairness, Accountability, Transparency, and Ethics (FATE) framework. A survey of 140 teachers showed that despite having limited AI knowledge, educators THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 130 https://www.theamericanjournals.com/index.php/tajssei

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The studies on teachers’ views on AI in education have made valuable contributions, but there are still several gaps and areas for further exploration (Papadakis et al., 2023). Many studies need to sufficiently address the diversity of educational contexts and demographics of teachers. There is a need for research that considers variations in school types, grade levels, and teachers’ workspaces to provide a more comprehensive picture. This research aims to investigate educators’ perspectives regarding AI and ascertain if these perspectives differ based on their teaching years and subject specializations. 2 Research model This study employed a survey research model to investigate teachers’ perspectives on integrating AI in education. The survey model was chosen as it offers a structured and systematic approach to collecting quantitative data from a diverse sample of educators. The research model was carefully designed to address specific research objectives, which included understanding teachers’ attitudes towards AI, assessing their readiness for AI integration, and exploring their perceptions of both the benefits and challenges associated with AI in educational contexts. 2.1 Data collection tool The Opinion Scale on Artificial Intelligence in Education developed by D ̈ulger and K ̈okl ̈u (2003) was used in this study. D ̈ulger and K ̈okl ̈u (2003) developed a scale to determine the opinions of school administrators and teachers on using AI in education. They conducted a study in which they examined the psychometric properties of the questionnaire. The study group the research consists of school principals and teachers working in public high schools. During the development phase of the scale, 62 items (items) were created and submitted to expert opinion. Exploratory (EFA) and confirmatory (CFA) factor analyses were performed for the scale. As a result of the EFA, a 28-item and four-dimensional scale was formed. The total explained variance rate is 56.58%. As a result of the analysis, the dimensions of the scale were determined: The benefits of the use of artificial intelligence in education, the prejudices about the use of artificial intelligence in education, the views on the scope of artificial intelligence and the definitions of artificial intelligence. Confirmatory factor analysis was performed considering these dimensions. As a result of this analysis, the values of the goodness of fit x2: 1017,416 df: 344, GFI = 0.862, RMSEA = 0.07, GFI = 0.86, CFI = 0.91, NFI = 0.84. As a result of these Advances in Mobile Learning Educational Research • SyncSci Publishing 932 of 939 Volume 4 Issue 1, 2024 Derya Uygun values, a valid and reliable scale was developed to determine the opinions of school principals and teachers on using AI in education. The scale consists of two sections. The first section includes questions to determine the participants’ gender, type of school, graduation status, field of study, and years of service. The second section, comprising 28 items, focuses on determining teachers’ views on artificial intelligence. This section utilizes a 5-point Likert scale ranging from ”1 Strongly Disagree” to ”5 Strongly Agree” to assess the teachers’ perspectives on artificial intelligence.

PARAGRAPH B¶15-19

METHOD This study utilized a survey research model to explore teachers' perspectives on the integration of AI in education. The survey approach was selected due to its structured and systematic method for gathering quantitative data from a diverse group of educators. The research model was meticulously crafted to meet specific objectives, including gauging teachers' attitudes toward AI, evaluating their preparedness for AI integration, and examining their perceptions of the benefits and challenges that AI presents in educational settings. This study utilized the Opinion Scale on Artificial Intelligence in Education, developed by Dulger and Koklü (2003). The scale was specifically designed to assess the opinions of school administrators and teachers regarding the use of AI in education. Dulger and Koklü (2003) conducted a thorough examination of the questionnaire's psychometric properties. The study group consisted of school principals and teachers working in public high schools. During the scale's development, 62 initial items were created and reviewed by experts. Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were conducted to refine the scale. EFA resulted in a 28- item, four-dimensional scale, explaining 56.58% of the total variance. The dimensions identified were: the benefits of using AI in education, prejudices about AI in education, views on the scope of AI, and definitions of AI. CFA confirmed the scale's structure, with goodness-of-fit indices indicating a valid and reliable tool (χ2 = 1017.416, df = 344, GFI = 0.862, RMSEA = 0.07, CFI = 0.91, NFI = 0.84). The scale is divided into two sections. The first section gathers demographic information, including the participants' gender, school type, educational background, field of study, and years of service. The second section, comprising 28 items, focuses on teachers' views on AI in education, using a 5- point Likert scale ranging from "1 Strongly Disagree" to "5 Strongly Agree" to measure their perspectives. Specifically, the scale includes 16 items related to the benefits of AI, six items addressing its drawbacks, two items concerning the scope of AI, and three items focused on defining the concept of AI. This study employed purposive sampling as its method for participant selection. Researchers chose participants based on specific criteria to ensure the sample included a diverse range of educators with varying experiences and perspectives on integrating AI in education. This approach enabled the researchers to focus on individuals who could offer valuable insights aligned with the research objectives, such as understanding teachers' attitudes toward AI, evaluating their readiness for AI integration, and THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 131 https://www.theamericanjournals.com/index.php/tajssei

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exact run 15 words LCS 0.045-gram Jaccard 0.06

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2.1 Data collection tool The Opinion Scale on Artificial Intelligence in Education developed by D ̈ulger and K ̈okl ̈u (2003) was used in this study. D ̈ulger and K ̈okl ̈u (2003) developed a scale to determine the opinions of school administrators and teachers on using AI in education. They conducted a study in which they examined the psychometric properties of the questionnaire. The study group the research consists of school principals and teachers working in public high schools. During the development phase of the scale, 62 items (items) were created and submitted to expert opinion. Exploratory (EFA) and confirmatory (CFA) factor analyses were performed for the scale. As a result of the EFA, a 28-item and four-dimensional scale was formed. The total explained variance rate is 56.58%. As a result of the analysis, the dimensions of the scale were determined: The benefits of the use of artificial intelligence in education, the prejudices about the use of artificial intelligence in education, the views on the scope of artificial intelligence and the definitions of artificial intelligence. Confirmatory factor analysis was performed considering these dimensions. As a result of this analysis, the values of the goodness of fit x2: 1017,416 df: 344, GFI = 0.862, RMSEA = 0.07, GFI = 0.86, CFI = 0.91, NFI = 0.84. As a result of these Advances in Mobile Learning Educational Research • SyncSci Publishing 932 of 939 Volume 4 Issue 1, 2024 Derya Uygun values, a valid and reliable scale was developed to determine the opinions of school principals and teachers on using AI in education. The scale consists of two sections. The first section includes questions to determine the participants’ gender, type of school, graduation status, field of study, and years of service. The second section, comprising 28 items, focuses on determining teachers’ views on artificial intelligence. This section utilizes a 5-point Likert scale ranging from ”1 Strongly Disagree” to ”5 Strongly Agree” to assess the teachers’ perspectives on artificial intelligence. The scale consists of 16 items related to the benefits of artificial intelligence, six items related to the drawbacks of artificial intelligence, two items related to the scope of artificial intelligence, and three items related to the definition of the concept of artificial intelligence. 2.2 Participants The sampling method employed in this study was purposive sampling. The researchers selected participants based on specific criteria to ensure that the sample represented a diverse range of educators with varying experiences and perspectives on integrating artificial AI in education. The purposive sampling allowed the researchers to target individuals who could provide valuable insights into the research objectives, including understanding teachers’ attitudes towards AI, assessing their readiness for AI integration, and exploring their perceptions of the benefits and challenges associated with AI in educational contexts. Information on the participants’ gender, type of school they work in, years of service, and graduation rates are given in Table 1.

PARAGRAPH B¶15-19

METHOD This study utilized a survey research model to explore teachers' perspectives on the integration of AI in education. The survey approach was selected due to its structured and systematic method for gathering quantitative data from a diverse group of educators. The research model was meticulously crafted to meet specific objectives, including gauging teachers' attitudes toward AI, evaluating their preparedness for AI integration, and examining their perceptions of the benefits and challenges that AI presents in educational settings. This study utilized the Opinion Scale on Artificial Intelligence in Education, developed by Dulger and Koklü (2003). The scale was specifically designed to assess the opinions of school administrators and teachers regarding the use of AI in education. Dulger and Koklü (2003) conducted a thorough examination of the questionnaire's psychometric properties. The study group consisted of school principals and teachers working in public high schools. During the scale's development, 62 initial items were created and reviewed by experts. Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were conducted to refine the scale. EFA resulted in a 28- item, four-dimensional scale, explaining 56.58% of the total variance. The dimensions identified were: the benefits of using AI in education, prejudices about AI in education, views on the scope of AI, and definitions of AI. CFA confirmed the scale's structure, with goodness-of-fit indices indicating a valid and reliable tool (χ2 = 1017.416, df = 344, GFI = 0.862, RMSEA = 0.07, CFI = 0.91, NFI = 0.84). The scale is divided into two sections. The first section gathers demographic information, including the participants' gender, school type, educational background, field of study, and years of service. The second section, comprising 28 items, focuses on teachers' views on AI in education, using a 5- point Likert scale ranging from "1 Strongly Disagree" to "5 Strongly Agree" to measure their perspectives. Specifically, the scale includes 16 items related to the benefits of AI, six items addressing its drawbacks, two items concerning the scope of AI, and three items focused on defining the concept of AI. This study employed purposive sampling as its method for participant selection. Researchers chose participants based on specific criteria to ensure the sample included a diverse range of educators with varying experiences and perspectives on integrating AI in education. This approach enabled the researchers to focus on individuals who could offer valuable insights aligned with the research objectives, such as understanding teachers' attitudes toward AI, evaluating their readiness for AI integration, and THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 131 https://www.theamericanjournals.com/index.php/tajssei

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The scale consists of two sections. The first section includes questions to determine the participants’ gender, type of school, graduation status, field of study, and years of service. The second section, comprising 28 items, focuses on determining teachers’ views on artificial intelligence. This section utilizes a 5-point Likert scale ranging from ”1 Strongly Disagree” to ”5 Strongly Agree” to assess the teachers’ perspectives on artificial intelligence. The scale consists of 16 items related to the benefits of artificial intelligence, six items related to the drawbacks of artificial intelligence, two items related to the scope of artificial intelligence, and three items related to the definition of the concept of artificial intelligence. 2.2 Participants The sampling method employed in this study was purposive sampling. The researchers selected participants based on specific criteria to ensure that the sample represented a diverse range of educators with varying experiences and perspectives on integrating artificial AI in education. The purposive sampling allowed the researchers to target individuals who could provide valuable insights into the research objectives, including understanding teachers’ attitudes towards AI, assessing their readiness for AI integration, and exploring their perceptions of the benefits and challenges associated with AI in educational contexts. Information on the participants’ gender, type of school they work in, years of service, and graduation rates are given in Table 1. Teachers f 20 54 62 12 37 37 16 5 53 % 27 73 86.8 16.2 50 50 20.5 6.8 72.6 The sample consisted of 27% (n = 20) male and 73% (n = 54) female participants. 16.2% (n = 12) of the participants work in private schools, and 83.8% (n = 62) work in public schools. The low number of male participants may be because most individuals who perform the teaching profession are women. The statistics published by the Ministry of National Education (2021) stated that the number of teachers working in schools within the scope of formal education was 1 million 139 thousand 673. Of these teachers, 455,294 were male, and 684,379 were female. In addition, there are also fewer teachers working in private schools than in public schools, 975 thousand 698 teachers worked in public schools and 163 thousand 975 in private schools.

PARAGRAPH B¶16-20

This study utilized the Opinion Scale on Artificial Intelligence in Education, developed by Dulger and Koklü (2003). The scale was specifically designed to assess the opinions of school administrators and teachers regarding the use of AI in education. Dulger and Koklü (2003) conducted a thorough examination of the questionnaire's psychometric properties. The study group consisted of school principals and teachers working in public high schools. During the scale's development, 62 initial items were created and reviewed by experts. Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were conducted to refine the scale. EFA resulted in a 28- item, four-dimensional scale, explaining 56.58% of the total variance. The dimensions identified were: the benefits of using AI in education, prejudices about AI in education, views on the scope of AI, and definitions of AI. CFA confirmed the scale's structure, with goodness-of-fit indices indicating a valid and reliable tool (χ2 = 1017.416, df = 344, GFI = 0.862, RMSEA = 0.07, CFI = 0.91, NFI = 0.84). The scale is divided into two sections. The first section gathers demographic information, including the participants' gender, school type, educational background, field of study, and years of service. The second section, comprising 28 items, focuses on teachers' views on AI in education, using a 5- point Likert scale ranging from "1 Strongly Disagree" to "5 Strongly Agree" to measure their perspectives. Specifically, the scale includes 16 items related to the benefits of AI, six items addressing its drawbacks, two items concerning the scope of AI, and three items focused on defining the concept of AI. This study employed purposive sampling as its method for participant selection. Researchers chose participants based on specific criteria to ensure the sample included a diverse range of educators with varying experiences and perspectives on integrating AI in education. This approach enabled the researchers to focus on individuals who could offer valuable insights aligned with the research objectives, such as understanding teachers' attitudes toward AI, evaluating their readiness for AI integration, and THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 131 https://www.theamericanjournals.com/index.php/tajssei exploring their perceptions of the benefits and challenges AI presents in educational contexts. Details about the participants' gender, type of school, years of service, and graduation rates are provided in Table 1.

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exact run 26 words LCS 0.085-gram Jaccard 0.07

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The scale consists of two sections. The first section includes questions to determine the participants’ gender, type of school, graduation status, field of study, and years of service. The second section, comprising 28 items, focuses on determining teachers’ views on artificial intelligence. This section utilizes a 5-point Likert scale ranging from ”1 Strongly Disagree” to ”5 Strongly Agree” to assess the teachers’ perspectives on artificial intelligence. The scale consists of 16 items related to the benefits of artificial intelligence, six items related to the drawbacks of artificial intelligence, two items related to the scope of artificial intelligence, and three items related to the definition of the concept of artificial intelligence. 2.2 Participants The sampling method employed in this study was purposive sampling. The researchers selected participants based on specific criteria to ensure that the sample represented a diverse range of educators with varying experiences and perspectives on integrating artificial AI in education. The purposive sampling allowed the researchers to target individuals who could provide valuable insights into the research objectives, including understanding teachers’ attitudes towards AI, assessing their readiness for AI integration, and exploring their perceptions of the benefits and challenges associated with AI in educational contexts. Information on the participants’ gender, type of school they work in, years of service, and graduation rates are given in Table 1. Teachers f 20 54 62 12 37 37 16 5 53 % 27 73 86.8 16.2 50 50 20.5 6.8 72.6 The sample consisted of 27% (n = 20) male and 73% (n = 54) female participants. 16.2% (n = 12) of the participants work in private schools, and 83.8% (n = 62) work in public schools. The low number of male participants may be because most individuals who perform the teaching profession are women. The statistics published by the Ministry of National Education (2021) stated that the number of teachers working in schools within the scope of formal education was 1 million 139 thousand 673. Of these teachers, 455,294 were male, and 684,379 were female. In addition, there are also fewer teachers working in private schools than in public schools, 975 thousand 698 teachers worked in public schools and 163 thousand 975 in private schools. 20.5% Of the participants have a master’s degree, 6.8% have a doctorate, and 72.6% have a bachelor’s degree. The low number of participants with doctorate and master’s degrees is the low number of teachers who continue their education after undergraduate education.

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This study employed purposive sampling as its method for participant selection. Researchers chose participants based on specific criteria to ensure the sample included a diverse range of educators with varying experiences and perspectives on integrating AI in education. This approach enabled the researchers to focus on individuals who could offer valuable insights aligned with the research objectives, such as understanding teachers' attitudes toward AI, evaluating their readiness for AI integration, and THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 131 https://www.theamericanjournals.com/index.php/tajssei exploring their perceptions of the benefits and challenges AI presents in educational contexts. Details about the participants' gender, type of school, years of service, and graduation rates are provided in Table 1. Teachers f 20 54 62 12 37 37 16 5 53 % 27 73 86.8 16.2 50 50 20.5 6.8 72.6 The sample included 27% male (n = 20) and 73% female (n = 54) participants. Among them, 16.2% (n = 12) were employed in private schools, while 83.8% (n = 62) worked in public schools. The lower number of male participants may reflect the higher proportion of women in the teaching profession. According to statistics from the Ministry of National Education (2021), there are 1,139,673 teachers in formal education, with 455,294 being male and 684,379 female. Additionally, there are fewer teachers in private schools compared to public schools, with 975,698 teachers in public institutions and 163,975 in private ones. Regarding educational qualifications, 20.5% of participants hold a master’s degree, 6.8% have a doctorate, and 72.6% possess a bachelor’s degree. The lower number of participants with advanced degrees reflects the generally small proportion of teachers pursuing further education beyond their undergraduate studies. Participants were categorized into two groups based on their years of experience: "newgeneration" teachers with 4 to 20 years of experience, and "old-generation" teachers with 21 to 37 years. The distribution between these groups is relatively balanced. The participants come from 11 different fields, with detailed information provided in Table 2.

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exact run 28 words LCS 0.095-gram Jaccard 0.09

PARAGRAPH A¶24-28

20.5% Of the participants have a master’s degree, 6.8% have a doctorate, and 72.6% have a bachelor’s degree. The low number of participants with doctorate and master’s degrees is the low number of teachers who continue their education after undergraduate education. New-generation teachers were defined as teachers working between 4 and 20 years, while teachers working between 21 and 37 years were defined as the old generation. As can be seen, the distribution is equal. The participants are from 11 different fields in the study. Table 2 shows the information on the participants’ branches. Table 2 Teachers’ field of study Teachers’ field of study f % English 25 33.8 Classroom Teacher 8 8.1 Science and Technology 8 10.8 Counsellor 7 10.8 Mathematics 6 9.5 Turkish 6 8.1 Social Science 5 6.8 Technology and Design 4 5.4 Physical Education 3 4.1 Music 1 1.4 Special Education 1 1.4 Total 74 100 Advances in Mobile Learning Educational Research • SyncSci Publishing 933 of 939 Volume 4 Issue 1, 2024 Derya Uygun 2.3 Data collection The data collection process for this study involved utilizing a Google Form questionnaire, which was distributed to teachers via WhatsApp. The questionnaire was designed to gather quantitative data on teachers’ perspectives regarding integrating AI in education. Using Google Forms facilitated the efficient and organized collection of responses from a diverse sample of educators. Subsequently, the Google Form questionnaire link was disseminated to the target participants via WhatsApp. WhatsApp, as a communication platform, facilitated the swift and direct distribution of the questionnaire to the intended recipients. The participants were provided with clear instructions and guidelines for completing the questionnaire, ensuring consistency in the data collection process. Upon receiving the questionnaire link, the teachers could access and complete the survey at their convenience. Using an online platform such as Google Forms allowed for flexibility in data collection, enabling participants to respond to the questionnaire at a time and place of their choosing.

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Regarding educational qualifications, 20.5% of participants hold a master’s degree, 6.8% have a doctorate, and 72.6% possess a bachelor’s degree. The lower number of participants with advanced degrees reflects the generally small proportion of teachers pursuing further education beyond their undergraduate studies. Participants were categorized into two groups based on their years of experience: "newgeneration" teachers with 4 to 20 years of experience, and "old-generation" teachers with 21 to 37 years. The distribution between these groups is relatively balanced. The participants come from 11 different fields, with detailed information provided in Table 2. Table 2: Teachers’ field of study Teachers’ field of study f % English 25 33.8 Classroom Teacher 8 8.1 Science and Technology 8 10.8 Counsellor 7 10.8 Mathematics 6 9.5 Social Science 5 6.8 Technology and Design 4 5.4 Physical Education 3 4.1 Music 1 1.4 THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 132 https://www.theamericanjournals.com/index.php/tajssei Special Education 1 1.4 Total 74 100 The data collection for this study was carried out using a Google Form questionnaire, which was distributed to teachers through WhatsApp. This method was chosen to efficiently gather quantitative data on educators' views regarding the integration of AI in education. Google Forms provided an organized platform for collecting responses from a diverse group of teachers, while WhatsApp enabled quick and direct distribution of the questionnaire link to the participants. Teachers received clear instructions and guidelines with the questionnaire to ensure consistency in their responses. They could access and complete the survey at their convenience, benefiting from the flexibility of an online platform like Google Forms, which allowed them to respond at a time and location that suited them. The data collection process was conducted with strict adherence to ethical standards, ensuring the confidentiality and anonymity of participants' responses. The research team was also available to address any questions or concerns that participants might have had during the survey period.

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20.5% Of the participants have a master’s degree, 6.8% have a doctorate, and 72.6% have a bachelor’s degree. The low number of participants with doctorate and master’s degrees is the low number of teachers who continue their education after undergraduate education. New-generation teachers were defined as teachers working between 4 and 20 years, while teachers working between 21 and 37 years were defined as the old generation. As can be seen, the distribution is equal. The participants are from 11 different fields in the study. Table 2 shows the information on the participants’ branches. Table 2 Teachers’ field of study Teachers’ field of study f % English 25 33.8 Classroom Teacher 8 8.1 Science and Technology 8 10.8 Counsellor 7 10.8 Mathematics 6 9.5 Turkish 6 8.1 Social Science 5 6.8 Technology and Design 4 5.4 Physical Education 3 4.1 Music 1 1.4 Special Education 1 1.4 Total 74 100 Advances in Mobile Learning Educational Research • SyncSci Publishing 933 of 939 Volume 4 Issue 1, 2024 Derya Uygun 2.3 Data collection The data collection process for this study involved utilizing a Google Form questionnaire, which was distributed to teachers via WhatsApp. The questionnaire was designed to gather quantitative data on teachers’ perspectives regarding integrating AI in education. Using Google Forms facilitated the efficient and organized collection of responses from a diverse sample of educators. Subsequently, the Google Form questionnaire link was disseminated to the target participants via WhatsApp. WhatsApp, as a communication platform, facilitated the swift and direct distribution of the questionnaire to the intended recipients. The participants were provided with clear instructions and guidelines for completing the questionnaire, ensuring consistency in the data collection process. Upon receiving the questionnaire link, the teachers could access and complete the survey at their convenience. Using an online platform such as Google Forms allowed for flexibility in data collection, enabling participants to respond to the questionnaire at a time and place of their choosing.

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Regarding educational qualifications, 20.5% of participants hold a master’s degree, 6.8% have a doctorate, and 72.6% possess a bachelor’s degree. The lower number of participants with advanced degrees reflects the generally small proportion of teachers pursuing further education beyond their undergraduate studies. Participants were categorized into two groups based on their years of experience: "newgeneration" teachers with 4 to 20 years of experience, and "old-generation" teachers with 21 to 37 years. The distribution between these groups is relatively balanced. The participants come from 11 different fields, with detailed information provided in Table 2. Table 2: Teachers’ field of study Teachers’ field of study f % English 25 33.8 Classroom Teacher 8 8.1 Science and Technology 8 10.8 Counsellor 7 10.8 Mathematics 6 9.5 Social Science 5 6.8 Technology and Design 4 5.4 Physical Education 3 4.1 Music 1 1.4 THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 132 https://www.theamericanjournals.com/index.php/tajssei Special Education 1 1.4 Total 74 100 The data collection for this study was carried out using a Google Form questionnaire, which was distributed to teachers through WhatsApp. This method was chosen to efficiently gather quantitative data on educators' views regarding the integration of AI in education. Google Forms provided an organized platform for collecting responses from a diverse group of teachers, while WhatsApp enabled quick and direct distribution of the questionnaire link to the participants. Teachers received clear instructions and guidelines with the questionnaire to ensure consistency in their responses. They could access and complete the survey at their convenience, benefiting from the flexibility of an online platform like Google Forms, which allowed them to respond at a time and location that suited them. The data collection process was conducted with strict adherence to ethical standards, ensuring the confidentiality and anonymity of participants' responses. The research team was also available to address any questions or concerns that participants might have had during the survey period.

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Upon receiving the questionnaire link, the teachers could access and complete the survey at their convenience. Using an online platform such as Google Forms allowed for flexibility in data collection, enabling participants to respond to the questionnaire at a time and place of their choosing. The data collection process adhered to ethical considerations, ensuring the confidentiality and anonymity of the participants’ responses. Additionally, the research team remained available to address any queries or concerns raised by the participants during the data collection period. 2.4 Data analysis The data was initially analyzed using percentages (%), frequencies (f), standard deviation (S), and mean (x). These measures provided valuable insights into the distribution and central tendency of the data. Furthermore, the data’s normality was rigorously assessed by examining the Komolgrov Smirnov test. These analyses allowed for a comprehensive understanding of the shape and symmetry of the data distribution and its adherence to the normal distribution assumption. In addition, Levene’s test was conducted to determine the homogeneity of the data. Upon confirming that the prerequisites for parametric testing were met, the one-way ANOVA and Independent sample t-test were employed to determine whether teachers’ views on artificial intelligence changed according to their years of employment and field of study.

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THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 132 https://www.theamericanjournals.com/index.php/tajssei Special Education 1 1.4 Total 74 100 The data collection for this study was carried out using a Google Form questionnaire, which was distributed to teachers through WhatsApp. This method was chosen to efficiently gather quantitative data on educators' views regarding the integration of AI in education. Google Forms provided an organized platform for collecting responses from a diverse group of teachers, while WhatsApp enabled quick and direct distribution of the questionnaire link to the participants. Teachers received clear instructions and guidelines with the questionnaire to ensure consistency in their responses. They could access and complete the survey at their convenience, benefiting from the flexibility of an online platform like Google Forms, which allowed them to respond at a time and location that suited them. The data collection process was conducted with strict adherence to ethical standards, ensuring the confidentiality and anonymity of participants' responses. The research team was also available to address any questions or concerns that participants might have had during the survey period. The data were initially analyzed using percentages (%), frequencies (f), standard deviation (S), and mean (x) to gain insights into the distribution and central tendency of the data. To assess the normality of the data, the Kolmogorov-Smirnov test was used, evaluating the data's distribution shape and its conformity to the normal distribution assumption. Additionally, Levene’s test was conducted to check for homogeneity of variance across groups. Once the assumptions for parametric tests were confirmed, one-way ANOVA and independent sample t-tests were applied to examine whether teachers' views on artificial intelligence varied according to their years of employment and field of study. All statistical analyses and computations were carried out using the Statistical Package for the Social Sciences (SPSS) software, a widely utilized tool for statistical analysis and data management in the social sciences and psychology fields. RESULT Table 3 provides a summary of the perceived benefits of AI. The data reveal that a notable proportion of teachers have favorable views on AI in education. Specifically, 43% of teachers consider AI crucial for personalizing education, while 33% are uncertain about its effectiveness in this regard. Additionally, 65% of teachers believe AI will have a positive impact on the economy. Furthermore, 52% of teachers agree that AI will enhance productivity, though 30% remain unsure. A substantial 90% of teachers believe AI has the potential to save time.

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Upon receiving the questionnaire link, the teachers could access and complete the survey at their convenience. Using an online platform such as Google Forms allowed for flexibility in data collection, enabling participants to respond to the questionnaire at a time and place of their choosing. The data collection process adhered to ethical considerations, ensuring the confidentiality and anonymity of the participants’ responses. Additionally, the research team remained available to address any queries or concerns raised by the participants during the data collection period. 2.4 Data analysis The data was initially analyzed using percentages (%), frequencies (f), standard deviation (S), and mean (x). These measures provided valuable insights into the distribution and central tendency of the data. Furthermore, the data’s normality was rigorously assessed by examining the Komolgrov Smirnov test. These analyses allowed for a comprehensive understanding of the shape and symmetry of the data distribution and its adherence to the normal distribution assumption. In addition, Levene’s test was conducted to determine the homogeneity of the data. Upon confirming that the prerequisites for parametric testing were met, the one-way ANOVA and Independent sample t-test were employed to determine whether teachers’ views on artificial intelligence changed according to their years of employment and field of study.

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THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 132 https://www.theamericanjournals.com/index.php/tajssei Special Education 1 1.4 Total 74 100 The data collection for this study was carried out using a Google Form questionnaire, which was distributed to teachers through WhatsApp. This method was chosen to efficiently gather quantitative data on educators' views regarding the integration of AI in education. Google Forms provided an organized platform for collecting responses from a diverse group of teachers, while WhatsApp enabled quick and direct distribution of the questionnaire link to the participants. Teachers received clear instructions and guidelines with the questionnaire to ensure consistency in their responses. They could access and complete the survey at their convenience, benefiting from the flexibility of an online platform like Google Forms, which allowed them to respond at a time and location that suited them. The data collection process was conducted with strict adherence to ethical standards, ensuring the confidentiality and anonymity of participants' responses. The research team was also available to address any questions or concerns that participants might have had during the survey period. The data were initially analyzed using percentages (%), frequencies (f), standard deviation (S), and mean (x) to gain insights into the distribution and central tendency of the data. To assess the normality of the data, the Kolmogorov-Smirnov test was used, evaluating the data's distribution shape and its conformity to the normal distribution assumption. Additionally, Levene’s test was conducted to check for homogeneity of variance across groups. Once the assumptions for parametric tests were confirmed, one-way ANOVA and independent sample t-tests were applied to examine whether teachers' views on artificial intelligence varied according to their years of employment and field of study. All statistical analyses and computations were carried out using the Statistical Package for the Social Sciences (SPSS) software, a widely utilized tool for statistical analysis and data management in the social sciences and psychology fields. RESULT Table 3 provides a summary of the perceived benefits of AI. The data reveal that a notable proportion of teachers have favorable views on AI in education. Specifically, 43% of teachers consider AI crucial for personalizing education, while 33% are uncertain about its effectiveness in this regard. Additionally, 65% of teachers believe AI will have a positive impact on the economy. Furthermore, 52% of teachers agree that AI will enhance productivity, though 30% remain unsure. A substantial 90% of teachers believe AI has the potential to save time.

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2.4 Data analysis The data was initially analyzed using percentages (%), frequencies (f), standard deviation (S), and mean (x). These measures provided valuable insights into the distribution and central tendency of the data. Furthermore, the data’s normality was rigorously assessed by examining the Komolgrov Smirnov test. These analyses allowed for a comprehensive understanding of the shape and symmetry of the data distribution and its adherence to the normal distribution assumption. In addition, Levene’s test was conducted to determine the homogeneity of the data. Upon confirming that the prerequisites for parametric testing were met, the one-way ANOVA and Independent sample t-test were employed to determine whether teachers’ views on artificial intelligence changed according to their years of employment and field of study. Statistical analyses and computations were performed using the Statistical Package for the Social Sciences (SPSS) software. SPSS is a widely used software for statistical analysis and data management in various social sciences and psychology fields. 3 Findings and interpretation This section presents the findings derived from the statistical analysis of the data collected via the Opinion Scale on Artificial Intelligence in Education. The scale aimed to determine teachers’ opinions on using artificial intelligence in education. Table 3 summarises the positive aspects (benefits) of artificial intelligence.

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THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 132 https://www.theamericanjournals.com/index.php/tajssei Special Education 1 1.4 Total 74 100 The data collection for this study was carried out using a Google Form questionnaire, which was distributed to teachers through WhatsApp. This method was chosen to efficiently gather quantitative data on educators' views regarding the integration of AI in education. Google Forms provided an organized platform for collecting responses from a diverse group of teachers, while WhatsApp enabled quick and direct distribution of the questionnaire link to the participants. Teachers received clear instructions and guidelines with the questionnaire to ensure consistency in their responses. They could access and complete the survey at their convenience, benefiting from the flexibility of an online platform like Google Forms, which allowed them to respond at a time and location that suited them. The data collection process was conducted with strict adherence to ethical standards, ensuring the confidentiality and anonymity of participants' responses. The research team was also available to address any questions or concerns that participants might have had during the survey period. The data were initially analyzed using percentages (%), frequencies (f), standard deviation (S), and mean (x) to gain insights into the distribution and central tendency of the data. To assess the normality of the data, the Kolmogorov-Smirnov test was used, evaluating the data's distribution shape and its conformity to the normal distribution assumption. Additionally, Levene’s test was conducted to check for homogeneity of variance across groups. Once the assumptions for parametric tests were confirmed, one-way ANOVA and independent sample t-tests were applied to examine whether teachers' views on artificial intelligence varied according to their years of employment and field of study. All statistical analyses and computations were carried out using the Statistical Package for the Social Sciences (SPSS) software, a widely utilized tool for statistical analysis and data management in the social sciences and psychology fields. RESULT Table 3 provides a summary of the perceived benefits of AI. The data reveal that a notable proportion of teachers have favorable views on AI in education. Specifically, 43% of teachers consider AI crucial for personalizing education, while 33% are uncertain about its effectiveness in this regard. Additionally, 65% of teachers believe AI will have a positive impact on the economy. Furthermore, 52% of teachers agree that AI will enhance productivity, though 30% remain unsure. A substantial 90% of teachers believe AI has the potential to save time. In terms of AI's role in the educational process, 66% of teachers view AI as essential for monitoring learning progress, and 77% think it will aid in personalized learning. Moreover, 75% of teachers believe AI can effectively track students' learning and provide more effective educational materials. Additionally, 80% of teachers see AI as a valuable resource for offering varied methods to meet students' needs and as a complementary tool for educators. An overwhelming 90% of teachers view AI as a valuable asset for accessing information and time-saving, with many also seeing it as enhancing the enjoyment and accessibility of learning. Regarding AI's long-term impact, 58% of teachers think AI will promote more enduring learning, while 30% are undecided. Finally, 65% of teachers believe that AI will help achieve the goals of the education system.

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AI encompasses a wide range of applications, including its role as an auxiliary system for education and as a tool for knowledge management. Teachers’ opinions about the scope of AI can be seen in Table 5. Table 5 Findings on the scope of AI Scope of Artificial Intelligence 1 2 3 4 5 Mean SD 3. It is an auxiliary system for education. f 0 1 14 39 20 4.05 0.71 % 1.4 18.9 52.7 27 4. It is a tool that can be used in knowledge management f 0 0 5 44 25 4.27 0.58 % 6.8 59.5 33.8 According to the survey results, most teachers (58%) perceive AI as a beneficial system that supports and enhances the educational process. Additionally, an overwhelming 90% of teachers view AI as a valuable tool for knowledge management. The findings about the concept of AI can be seen in Table 6. Table 6 Findings on the concept of AI The Concept of Artificial Intelligence 1 2 3 4 5 Mean SD 5. It is a computer-controlled robot designed to perform tasks. f 3 4 6 39 22 3.99 0.98 % 4.1 5.4 8.1 52.7 29.7 1. It is high-level technology. f 0 2 4 34 34 4.35 0.71 % 2.7 5.4 45.9 45.9 2. It is a computer program. f 1 3 3 42 25 4.18 0.80 % 1.4 4.1 4.1 56.8 33.8

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employment and field of study. All statistical analyses and computations were carried out using the Statistical Package for the Social Sciences (SPSS) software, a widely utilized tool for statistical analysis and data management in the social sciences and psychology fields. RESULT Table 3 provides a summary of the perceived benefits of AI. The data reveal that a notable proportion of teachers have favorable views on AI in education. Specifically, 43% of teachers consider AI crucial for personalizing education, while 33% are uncertain about its effectiveness in this regard. Additionally, 65% of teachers believe AI will have a positive impact on the economy. Furthermore, 52% of teachers agree that AI will enhance productivity, though 30% remain unsure. A substantial 90% of teachers believe AI has the potential to save time. In terms of AI's role in the educational process, 66% of teachers view AI as essential for monitoring learning progress, and 77% think it will aid in personalized learning. Moreover, 75% of teachers believe AI can effectively track students' learning and provide more effective educational materials. Additionally, 80% of teachers see AI as a valuable resource for offering varied methods to meet students' needs and as a complementary tool for educators. An overwhelming 90% of teachers view AI as a valuable asset for accessing information and time-saving, with many also seeing it as enhancing the enjoyment and accessibility of learning. Regarding AI's long-term impact, 58% of teachers think AI will promote more enduring learning, while 30% are undecided. Finally, 65% of teachers believe that AI will help achieve the goals of the education system. THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 133 https://www.theamericanjournals.com/index.php/tajssei Table 3: Findings about positive aspects of AI Positive aspects (benefits) of Artificial Intelligence 1 2 3 4 5 Mean SD 6. It is necessary for the individualization of education.

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Regarding its role in the educational process, 66% of teachers consider AI necessary for monitoring the learning process, while 77% believe it will contribute to individualized learning. Moreover, 75% of teachers think AI can effectively follow students’ learning processes and provide more effective learning materials. Additionally, 80% of teachers believe that AI can offer different methods according to students’ needs and is a complementary resource for teachers. Furthermore, a significant majority (90%) of teachers view AI as a valuable source for accessing information and has the potential to save time. Most teachers think AI makes learning more enjoyable and facilitates more accessible learning experiences. Regarding the long-term impact of AI on education, 58% of teachers believe that AI will lead to more permanent learning, while 30% remained undecided on this issue. Finally, 65% of teachers believed that AI would contribute to achieving the education system’s goals. Positive aspects (benefits) of Artificial Intelligence 1 2 3 4 5 Mean SD 6. It is necessary for the individualization of education. f 1 16 25 19 13 3.36 1.05 % 1.4 21.6 33.8 25.7 17.6 7. Contributes to the economy. f 0 4 21 34 15 3.81 0.82 % 5.4 28.4 45.9 20.3 8. Increases productivity. f 4 9 22 30 9 3.42 1.03 % 5.4 12.2 29.7 40.5 12.2 9. Saves time. f 0 2 1 46 25 4.20 0.62 % 2.7 1.4 62.2 33.8 10. It is necessary to monitor the learning process. f 2 7 15 34 16 3.75 0.99 % 2.7 9.5 20.3 45.9 21.6 11. Contributes to individual learning. f 1 2 13 39 19 3.99 0.81 % 1.4 2.7 17.6 52.7 25.7 12. It follows students’ learning process. f 0 6 13 37 18 3.91 0.86 % 8.1 17.6 50 24.3 13. Provides more practical materials. f 0 5 13 35 21 3.97 0.866 % 6.8 17.6 47.3 28.4 14. Offers different methods according to their needs. f 0 0 13 41 20 4.09 0.66 % 17.6 55.4 27

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In terms of AI's role in the educational process, 66% of teachers view AI as essential for monitoring learning progress, and 77% think it will aid in personalized learning. Moreover, 75% of teachers believe AI can effectively track students' learning and provide more effective educational materials. Additionally, 80% of teachers see AI as a valuable resource for offering varied methods to meet students' needs and as a complementary tool for educators. An overwhelming 90% of teachers view AI as a valuable asset for accessing information and time-saving, with many also seeing it as enhancing the enjoyment and accessibility of learning. Regarding AI's long-term impact, 58% of teachers think AI will promote more enduring learning, while 30% are undecided. Finally, 65% of teachers believe that AI will help achieve the goals of the education system. THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 133 https://www.theamericanjournals.com/index.php/tajssei Table 3: Findings about positive aspects of AI Positive aspects (benefits) of Artificial Intelligence 1 2 3 4 5 Mean SD 6. It is necessary for the individualization of education. f 1 16 25 19 13 3.36 1.05 % 1.4 21.6 33.8 25.7 17.6 7. Contributes to the economy. f 0 4 21 34 15 3.81 0.82 % 5.4 28.4 45.9 20.3 8. Increases productivity. f 4 9 22 30 9 3.42 1.03 % 5.4 12.2 29.7 40.5 12.2 9. Saves time. f 0 2 1 46 25 4.20 0.62 % 2.7 1.4 62.2 33.8 10 . It is necessary to monitor the learning process. f 2 7 15 34 16 3.75 0.99 % 2.7 9.5 20.3 45.9 21.6 11 . Contributes to individual learning. f 1 2 13 39 19 3.99 0.81 % 1.4 2.7 17.6 52.7 25.7 12 . It follows students’ learning process. f 0 6 13 37 18 3.91 0.86 % 8.1 17.6 50 24.3 13 . Provides more practical materials. f 0 5 13 35 21 3.97 0.866 % 6.8 17.6 47.3 28.4 14 . Offers different methods according to their needs.

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According to a survey among teachers, a significant majority (60%) expressed concerns that integrating AI into the educational environment may lead to a lack of emotional connection. Additionally, 47% of teachers raised apprehensions regarding the potential threat to security posed by AI. Notably, a considerable portion (33%) of the respondents remained undecided. Furthermore, 47% of teachers expressed scepticism about AI’s ability to safeguard the confidentiality of information, with 36% remaining undecided on this matter. Regarding the impact on teaching and learning, most teachers (51%) believe that AI may lead to passivity among individuals. However, 60% of teachers do not share the concern that AI will make teachers lazy. Moreover, 70% of teachers think that AI will not diminish the researcher Negative aspects (harms) of Artificial Intelligence 1 2 3 4 5 Mean SD 22. It will lead to an emotionless educational environment. f 5 6 18 28 17 3.60 1.13 % 6.8 8.1 24.3 37.4 23 23. It threatens security. f 2 12 25 25 10 3.39 1.00 % 2.7 16.2 33.8 33.8 13.5 24. It cannot ensure the confidentiality of information. f 1 11 27 25 10 3.41 1.00 % 1.4 14.9 36.5 33.8 13.5 25. Makes the individual passive. f 2 17 17 25 13 3.38 1.10 % 2.7 23 23 33.8 17.6 26. Makes the teacher lazy. f 2 26 16 25 5 3.07 1.03 % 2.7 35.1 21.6 33.8 6.8

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In terms of AI's role in the educational process, 66% of teachers view AI as essential for monitoring learning progress, and 77% think it will aid in personalized learning. Moreover, 75% of teachers believe AI can effectively track students' learning and provide more effective educational materials. Additionally, 80% of teachers see AI as a valuable resource for offering varied methods to meet students' needs and as a complementary tool for educators. An overwhelming 90% of teachers view AI as a valuable asset for accessing information and time-saving, with many also seeing it as enhancing the enjoyment and accessibility of learning. Regarding AI's long-term impact, 58% of teachers think AI will promote more enduring learning, while 30% are undecided. Finally, 65% of teachers believe that AI will help achieve the goals of the education system. THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 133 https://www.theamericanjournals.com/index.php/tajssei Table 3: Findings about positive aspects of AI Positive aspects (benefits) of Artificial Intelligence 1 2 3 4 5 Mean SD 6. It is necessary for the individualization of education. f 1 16 25 19 13 3.36 1.05 % 1.4 21.6 33.8 25.7 17.6 7. Contributes to the economy. f 0 4 21 34 15 3.81 0.82 % 5.4 28.4 45.9 20.3 8. Increases productivity. f 4 9 22 30 9 3.42 1.03 % 5.4 12.2 29.7 40.5 12.2 9. Saves time. f 0 2 1 46 25 4.20 0.62 % 2.7 1.4 62.2 33.8 10 . It is necessary to monitor the learning process. f 2 7 15 34 16 3.75 0.99

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personality of teachers. Nevertheless, 50% of teachers believed that integrating AI may create an ethical gap in the educational setting. These findings shed light on teachers’ diverse perspectives regarding the implications of AI in education. It is essential to consider these viewpoints in the ongoing discourse surrounding the integration of AI in educational settings. AI encompasses a wide range of applications, including its role as an auxiliary system for education and as a tool for knowledge management. Teachers’ opinions about the scope of AI can be seen in Table 5. Table 5 Findings on the scope of AI Scope of Artificial Intelligence 1 2 3 4 5 Mean SD 3. It is an auxiliary system for education. f 0 1 14 39 20 4.05 0.71 % 1.4 18.9 52.7 27 4. It is a tool that can be used in knowledge management f 0 0 5 44 25 4.27 0.58 % 6.8 59.5 33.8 According to the survey results, most teachers (58%) perceive AI as a beneficial system that supports and enhances the educational process. Additionally, an overwhelming 90% of teachers view AI as a valuable tool for knowledge management. The findings about the concept of AI can be seen in Table 6. Table 6 Findings on the concept of AI The Concept of Artificial Intelligence 1 2 3 4 5 Mean SD 5. It is a computer-controlled robot designed to perform tasks. f 3 4 6 39 22 3.99 0.98 % 4.1 5.4 8.1 52.7 29.7

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In terms of AI's role in the educational process, 66% of teachers view AI as essential for monitoring learning progress, and 77% think it will aid in personalized learning. Moreover, 75% of teachers believe AI can effectively track students' learning and provide more effective educational materials. Additionally, 80% of teachers see AI as a valuable resource for offering varied methods to meet students' needs and as a complementary tool for educators. An overwhelming 90% of teachers view AI as a valuable asset for accessing information and time-saving, with many also seeing it as enhancing the enjoyment and accessibility of learning. Regarding AI's long-term impact, 58% of teachers think AI will promote more enduring learning, while 30% are undecided. Finally, 65% of teachers believe that AI will help achieve the goals of the education system. THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 133 https://www.theamericanjournals.com/index.php/tajssei Table 3: Findings about positive aspects of AI Positive aspects (benefits) of Artificial Intelligence 1 2 3 4 5 Mean SD 6. It is necessary for the individualization of education. f 1 16 25 19 13 3.36 1.05 % 1.4 21.6 33.8 25.7 17.6 7. Contributes to the economy. f 0 4 21 34 15 3.81 0.82 % 5.4 28.4 45.9 20.3 8. Increases productivity. f 4 9 22 30 9 3.42 1.03 % 5.4 12.2 29.7 40.5 12.2 9. Saves time. f 0 2 1 46 25 4.20 0.62 % 2.7 1.4 62.2 33.8 10 . It is necessary to monitor the learning process. f 2 7 15 34 16 3.75 0.99

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Table 5 Findings on the scope of AI Scope of Artificial Intelligence 1 2 3 4 5 Mean SD 3. It is an auxiliary system for education. f 0 1 14 39 20 4.05 0.71 % 1.4 18.9 52.7 27 4. It is a tool that can be used in knowledge management f 0 0 5 44 25 4.27 0.58 % 6.8 59.5 33.8 According to the survey results, most teachers (58%) perceive AI as a beneficial system that supports and enhances the educational process. Additionally, an overwhelming 90% of teachers view AI as a valuable tool for knowledge management. The findings about the concept of AI can be seen in Table 6. Table 6 Findings on the concept of AI The Concept of Artificial Intelligence 1 2 3 4 5 Mean SD 5. It is a computer-controlled robot designed to perform tasks. f 3 4 6 39 22 3.99 0.98 % 4.1 5.4 8.1 52.7 29.7 1. It is high-level technology. f 0 2 4 34 34 4.35 0.71 % 2.7 5.4 45.9 45.9 2. It is a computer program. f 1 3 3 42 25 4.18 0.80 % 1.4 4.1 4.1 56.8 33.8 Teachers contend that AI represents advanced technology, a computer program and a computer-controlled robot designed to execute various tasks. An Independent sample t-test was used to determine whether teachers’ views on AI changed according to their length of service. Teachers’ years of service were divided into two groups. Teachers who worked between 4 and 20 years were defined as the new generation, while those who worked between 21 and 37 years were defined as the old generation. Descriptive findings for this data set are given in the participant’s section. Teachers’ views on AI were determined with a Likert-type scale. The sum of the scores from 1 to 5 was taken and used in the independent

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In terms of AI's role in the educational process, 66% of teachers view AI as essential for monitoring learning progress, and 77% think it will aid in personalized learning. Moreover, 75% of teachers believe AI can effectively track students' learning and provide more effective educational materials. Additionally, 80% of teachers see AI as a valuable resource for offering varied methods to meet students' needs and as a complementary tool for educators. An overwhelming 90% of teachers view AI as a valuable asset for accessing information and time-saving, with many also seeing it as enhancing the enjoyment and accessibility of learning. Regarding AI's long-term impact, 58% of teachers think AI will promote more enduring learning, while 30% are undecided. Finally, 65% of teachers believe that AI will help achieve the goals of the education system. THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 133 https://www.theamericanjournals.com/index.php/tajssei Table 3: Findings about positive aspects of AI Positive aspects (benefits) of Artificial Intelligence 1 2 3 4 5 Mean SD 6. It is necessary for the individualization of education. f 1 16 25 19 13 3.36 1.05 % 1.4 21.6 33.8 25.7 17.6 7. Contributes to the economy. f 0 4 21 34 15 3.81 0.82 % 5.4 28.4 45.9 20.3 8. Increases productivity. f 4 9 22 30 9 3.42 1.03 % 5.4 12.2 29.7 40.5 12.2 9. Saves time. f 0 2 1 46 25 4.20 0.62 % 2.7 1.4 62.2 33.8 10 . It is necessary to monitor the learning process. f 2 7 15 34 16 3.75 0.99

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exact run 22 words LCS 0.475-gram Jaccard 0.62

PARAGRAPH A¶38-42

Positive aspects (benefits) of Artificial Intelligence 1 2 3 4 5 Mean SD 6. It is necessary for the individualization of education. f 1 16 25 19 13 3.36 1.05 % 1.4 21.6 33.8 25.7 17.6 7. Contributes to the economy. f 0 4 21 34 15 3.81 0.82 % 5.4 28.4 45.9 20.3 8. Increases productivity. f 4 9 22 30 9 3.42 1.03 % 5.4 12.2 29.7 40.5 12.2 9. Saves time. f 0 2 1 46 25 4.20 0.62 % 2.7 1.4 62.2 33.8 10. It is necessary to monitor the learning process. f 2 7 15 34 16 3.75 0.99 % 2.7 9.5 20.3 45.9 21.6 11. Contributes to individual learning. f 1 2 13 39 19 3.99 0.81 % 1.4 2.7 17.6 52.7 25.7 12. It follows students’ learning process. f 0 6 13 37 18 3.91 0.86 % 8.1 17.6 50 24.3 13. Provides more practical materials. f 0 5 13 35 21 3.97 0.866 % 6.8 17.6 47.3 28.4 14. Offers different methods according to their needs. f 0 0 13 41 20 4.09 0.66 % 17.6 55.4 27

PARAGRAPH B¶32-37

Table 3: Findings about positive aspects of AI Positive aspects (benefits) of Artificial Intelligence 1 2 3 4 5 Mean SD 6. It is necessary for the individualization of education. f 1 16 25 19 13 3.36 1.05 % 1.4 21.6 33.8 25.7 17.6 7. Contributes to the economy. f 0 4 21 34 15 3.81 0.82 % 5.4 28.4 45.9 20.3 8. Increases productivity. f 4 9 22 30 9 3.42 1.03 % 5.4 12.2 29.7 40.5 12.2 9. Saves time. f 0 2 1 46 25 4.20 0.62 % 2.7 1.4 62.2 33.8 10 . It is necessary to monitor the learning process. f 2 7 15 34 16 3.75 0.99 % 2.7 9.5 20.3 45.9 21.6 11 . Contributes to individual learning. f 1 2 13 39 19 3.99 0.81 % 1.4 2.7 17.6 52.7 25.7 12 . It follows students’ learning process. f 0 6 13 37 18 3.91 0.86 % 8.1 17.6 50 24.3 13 . Provides more practical materials. f 0 5 13 35 21 3.97 0.866 % 6.8 17.6 47.3 28.4 14 . Offers different methods according to their needs. f 0 0 13 41 20 4.09 0.66 % 17.6 55.4 27 15 . It is a complementary resource for teachers. f 0 3 5 46 20 4.12 0.7 % 4.1 6.8 62.2 27 16 . It is a source for teachers to access information.

Shingle match 18 of 48

exact run 18 words LCS 0.265-gram Jaccard 0.58

PARAGRAPH A¶39-43

7. Contributes to the economy. f 0 4 21 34 15 3.81 0.82 % 5.4 28.4 45.9 20.3 8. Increases productivity. f 4 9 22 30 9 3.42 1.03 % 5.4 12.2 29.7 40.5 12.2 9. Saves time. f 0 2 1 46 25 4.20 0.62 % 2.7 1.4 62.2 33.8 10. It is necessary to monitor the learning process. f 2 7 15 34 16 3.75 0.99 % 2.7 9.5 20.3 45.9 21.6 11. Contributes to individual learning. f 1 2 13 39 19 3.99 0.81 % 1.4 2.7 17.6 52.7 25.7 12. It follows students’ learning process. f 0 6 13 37 18 3.91 0.86 % 8.1 17.6 50 24.3 13. Provides more practical materials. f 0 5 13 35 21 3.97 0.866 % 6.8 17.6 47.3 28.4 14. Offers different methods according to their needs. f 0 0 13 41 20 4.09 0.66 % 17.6 55.4 27 15. It is a complementary resource for teachers. f 0 3 5 46 20 4.12 0.7 % 4.1 6.8 62.2 27 16. It is a source for teachers to access information. f 0 3 4 46 21 4.15 0.7 % 4.1 5.4 62.2 28.4

PARAGRAPH B¶33-37

f 1 16 25 19 13 3.36 1.05 % 1.4 21.6 33.8 25.7 17.6 7. Contributes to the economy. f 0 4 21 34 15 3.81 0.82 % 5.4 28.4 45.9 20.3 8. Increases productivity. f 4 9 22 30 9 3.42 1.03 % 5.4 12.2 29.7 40.5 12.2 9. Saves time. f 0 2 1 46 25 4.20 0.62 % 2.7 1.4 62.2 33.8 10 . It is necessary to monitor the learning process. f 2 7 15 34 16 3.75 0.99 % 2.7 9.5 20.3 45.9 21.6 11 . Contributes to individual learning. f 1 2 13 39 19 3.99 0.81 % 1.4 2.7 17.6 52.7 25.7 12 . It follows students’ learning process. f 0 6 13 37 18 3.91 0.86 % 8.1 17.6 50 24.3 13 . Provides more practical materials. f 0 5 13 35 21 3.97 0.866 % 6.8 17.6 47.3 28.4 14 . Offers different methods according to their needs. f 0 0 13 41 20 4.09 0.66 % 17.6 55.4 27 15 . It is a complementary resource for teachers. f 0 3 5 46 20 4.12 0.7 % 4.1 6.8 62.2 27 16 . It is a source for teachers to access information.

Shingle match 19 of 48

exact run 18 words LCS 0.265-gram Jaccard 0.56

PARAGRAPH A¶39-43

7. Contributes to the economy. f 0 4 21 34 15 3.81 0.82 % 5.4 28.4 45.9 20.3 8. Increases productivity. f 4 9 22 30 9 3.42 1.03 % 5.4 12.2 29.7 40.5 12.2 9. Saves time. f 0 2 1 46 25 4.20 0.62 % 2.7 1.4 62.2 33.8 10. It is necessary to monitor the learning process. f 2 7 15 34 16 3.75 0.99 % 2.7 9.5 20.3 45.9 21.6 11. Contributes to individual learning. f 1 2 13 39 19 3.99 0.81 % 1.4 2.7 17.6 52.7 25.7 12. It follows students’ learning process. f 0 6 13 37 18 3.91 0.86 % 8.1 17.6 50 24.3 13. Provides more practical materials. f 0 5 13 35 21 3.97 0.866 % 6.8 17.6 47.3 28.4 14. Offers different methods according to their needs. f 0 0 13 41 20 4.09 0.66 % 17.6 55.4 27 15. It is a complementary resource for teachers. f 0 3 5 46 20 4.12 0.7 % 4.1 6.8 62.2 27 16. It is a source for teachers to access information. f 0 3 4 46 21 4.15 0.7 % 4.1 5.4 62.2 28.4

PARAGRAPH B¶33-38

f 1 16 25 19 13 3.36 1.05 % 1.4 21.6 33.8 25.7 17.6 7. Contributes to the economy. f 0 4 21 34 15 3.81 0.82 % 5.4 28.4 45.9 20.3 8. Increases productivity. f 4 9 22 30 9 3.42 1.03 % 5.4 12.2 29.7 40.5 12.2 9. Saves time. f 0 2 1 46 25 4.20 0.62 % 2.7 1.4 62.2 33.8 10 . It is necessary to monitor the learning process. f 2 7 15 34 16 3.75 0.99 % 2.7 9.5 20.3 45.9 21.6 11 . Contributes to individual learning. f 1 2 13 39 19 3.99 0.81 % 1.4 2.7 17.6 52.7 25.7 12 . It follows students’ learning process. f 0 6 13 37 18 3.91 0.86 % 8.1 17.6 50 24.3 13 . Provides more practical materials. f 0 5 13 35 21 3.97 0.866 % 6.8 17.6 47.3 28.4 14 . Offers different methods according to their needs. f 0 0 13 41 20 4.09 0.66 % 17.6 55.4 27 15 . It is a complementary resource for teachers. f 0 3 5 46 20 4.12 0.7 % 4.1 6.8 62.2 27 16 . It is a source for teachers to access information. f 0 3 4 46 21 4.15 0.7 % 4.1 5.4 62.2 28.4 17 . it is a source for teachers to access information. f 0 2 6 45 21 4.15 0.68 % 2.7 8.1 60.8 28.4 THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09

Shingle match 20 of 48

exact run 17 words LCS 0.115-gram Jaccard 0.50

PARAGRAPH A¶40-44

9. Saves time. f 0 2 1 46 25 4.20 0.62 % 2.7 1.4 62.2 33.8 10. It is necessary to monitor the learning process. f 2 7 15 34 16 3.75 0.99 % 2.7 9.5 20.3 45.9 21.6 11. Contributes to individual learning. f 1 2 13 39 19 3.99 0.81 % 1.4 2.7 17.6 52.7 25.7 12. It follows students’ learning process. f 0 6 13 37 18 3.91 0.86 % 8.1 17.6 50 24.3 13. Provides more practical materials. f 0 5 13 35 21 3.97 0.866 % 6.8 17.6 47.3 28.4 14. Offers different methods according to their needs. f 0 0 13 41 20 4.09 0.66 % 17.6 55.4 27 15. It is a complementary resource for teachers. f 0 3 5 46 20 4.12 0.7 % 4.1 6.8 62.2 27 16. It is a source for teachers to access information. f 0 3 4 46 21 4.15 0.7 % 4.1 5.4 62.2 28.4 17. it is a source for teachers to access information. f 0 2 6 45 21 4.15 0.68 % 2.7 8.1 60.8 28.4 18. it is a source for teachers to access information f 1 8 22 29 14 3.67 0.95 % 1.4 10.8 29.7 39.2 18.9

PARAGRAPH B¶34-38

% 5.4 12.2 29.7 40.5 12.2 9. Saves time. f 0 2 1 46 25 4.20 0.62 % 2.7 1.4 62.2 33.8 10 . It is necessary to monitor the learning process. f 2 7 15 34 16 3.75 0.99 % 2.7 9.5 20.3 45.9 21.6 11 . Contributes to individual learning. f 1 2 13 39 19 3.99 0.81 % 1.4 2.7 17.6 52.7 25.7 12 . It follows students’ learning process. f 0 6 13 37 18 3.91 0.86 % 8.1 17.6 50 24.3 13 . Provides more practical materials. f 0 5 13 35 21 3.97 0.866 % 6.8 17.6 47.3 28.4 14 . Offers different methods according to their needs. f 0 0 13 41 20 4.09 0.66 % 17.6 55.4 27 15 . It is a complementary resource for teachers. f 0 3 5 46 20 4.12 0.7 % 4.1 6.8 62.2 27 16 . It is a source for teachers to access information. f 0 3 4 46 21 4.15 0.7 % 4.1 5.4 62.2 28.4 17 . it is a source for teachers to access information. f 0 2 6 45 21 4.15 0.68 % 2.7 8.1 60.8 28.4 THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09

Shingle match 21 of 48

exact run 19 words LCS 0.115-gram Jaccard 0.54

PARAGRAPH A¶40-44

9. Saves time. f 0 2 1 46 25 4.20 0.62 % 2.7 1.4 62.2 33.8 10. It is necessary to monitor the learning process. f 2 7 15 34 16 3.75 0.99 % 2.7 9.5 20.3 45.9 21.6 11. Contributes to individual learning. f 1 2 13 39 19 3.99 0.81 % 1.4 2.7 17.6 52.7 25.7 12. It follows students’ learning process. f 0 6 13 37 18 3.91 0.86 % 8.1 17.6 50 24.3 13. Provides more practical materials. f 0 5 13 35 21 3.97 0.866 % 6.8 17.6 47.3 28.4 14. Offers different methods according to their needs. f 0 0 13 41 20 4.09 0.66 % 17.6 55.4 27 15. It is a complementary resource for teachers. f 0 3 5 46 20 4.12 0.7 % 4.1 6.8 62.2 27 16. It is a source for teachers to access information. f 0 3 4 46 21 4.15 0.7 % 4.1 5.4 62.2 28.4 17. it is a source for teachers to access information. f 0 2 6 45 21 4.15 0.68 % 2.7 8.1 60.8 28.4 18. it is a source for teachers to access information f 1 8 22 29 14 3.67 0.95 % 1.4 10.8 29.7 39.2 18.9

PARAGRAPH B¶34-39

% 5.4 12.2 29.7 40.5 12.2 9. Saves time. f 0 2 1 46 25 4.20 0.62 % 2.7 1.4 62.2 33.8 10 . It is necessary to monitor the learning process. f 2 7 15 34 16 3.75 0.99 % 2.7 9.5 20.3 45.9 21.6 11 . Contributes to individual learning. f 1 2 13 39 19 3.99 0.81 % 1.4 2.7 17.6 52.7 25.7 12 . It follows students’ learning process. f 0 6 13 37 18 3.91 0.86 % 8.1 17.6 50 24.3 13 . Provides more practical materials. f 0 5 13 35 21 3.97 0.866 % 6.8 17.6 47.3 28.4 14 . Offers different methods according to their needs. f 0 0 13 41 20 4.09 0.66 % 17.6 55.4 27 15 . It is a complementary resource for teachers. f 0 3 5 46 20 4.12 0.7 % 4.1 6.8 62.2 27 16 . It is a source for teachers to access information. f 0 3 4 46 21 4.15 0.7 % 4.1 5.4 62.2 28.4 17 . it is a source for teachers to access information. f 0 2 6 45 21 4.15 0.68 % 2.7 8.1 60.8 28.4 THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 134 https://www.theamericanjournals.com/index.php/tajssei 18 . it is a source for teachers to access information f 1 8 22 29 14 3.67 0.95 % 1.4 10.8 29.7 39.2 18.9

Shingle match 22 of 48

exact run 20 words LCS 0.125-gram Jaccard 0.44

PARAGRAPH A¶41-45

11. Contributes to individual learning. f 1 2 13 39 19 3.99 0.81 % 1.4 2.7 17.6 52.7 25.7 12. It follows students’ learning process. f 0 6 13 37 18 3.91 0.86 % 8.1 17.6 50 24.3 13. Provides more practical materials. f 0 5 13 35 21 3.97 0.866 % 6.8 17.6 47.3 28.4 14. Offers different methods according to their needs. f 0 0 13 41 20 4.09 0.66 % 17.6 55.4 27 15. It is a complementary resource for teachers. f 0 3 5 46 20 4.12 0.7 % 4.1 6.8 62.2 27 16. It is a source for teachers to access information. f 0 3 4 46 21 4.15 0.7 % 4.1 5.4 62.2 28.4 17. it is a source for teachers to access information. f 0 2 6 45 21 4.15 0.68 % 2.7 8.1 60.8 28.4 18. it is a source for teachers to access information f 1 8 22 29 14 3.67 0.95 % 1.4 10.8 29.7 39.2 18.9 19. It contributes to achieving the goals of the education system. f 0 6 20 35 13 3.74 0.84 % 8.1 27 47.3 17.6 20. It makes learning more fun. f 1 2 9 40 22 4.8 0.8 % 1.4 2.7 12.2 54.1 29.7

PARAGRAPH B¶35-39

% 2.7 9.5 20.3 45.9 21.6 11 . Contributes to individual learning. f 1 2 13 39 19 3.99 0.81 % 1.4 2.7 17.6 52.7 25.7 12 . It follows students’ learning process. f 0 6 13 37 18 3.91 0.86 % 8.1 17.6 50 24.3 13 . Provides more practical materials. f 0 5 13 35 21 3.97 0.866 % 6.8 17.6 47.3 28.4 14 . Offers different methods according to their needs. f 0 0 13 41 20 4.09 0.66 % 17.6 55.4 27 15 . It is a complementary resource for teachers. f 0 3 5 46 20 4.12 0.7 % 4.1 6.8 62.2 27 16 . It is a source for teachers to access information. f 0 3 4 46 21 4.15 0.7 % 4.1 5.4 62.2 28.4 17 . it is a source for teachers to access information. f 0 2 6 45 21 4.15 0.68 % 2.7 8.1 60.8 28.4 THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 134 https://www.theamericanjournals.com/index.php/tajssei 18 . it is a source for teachers to access information f 1 8 22 29 14 3.67 0.95 % 1.4 10.8 29.7 39.2 18.9

Shingle match 23 of 48

exact run 22 words LCS 0.115-gram Jaccard 0.52

PARAGRAPH A¶41-45

11. Contributes to individual learning. f 1 2 13 39 19 3.99 0.81 % 1.4 2.7 17.6 52.7 25.7 12. It follows students’ learning process. f 0 6 13 37 18 3.91 0.86 % 8.1 17.6 50 24.3 13. Provides more practical materials. f 0 5 13 35 21 3.97 0.866 % 6.8 17.6 47.3 28.4 14. Offers different methods according to their needs. f 0 0 13 41 20 4.09 0.66 % 17.6 55.4 27 15. It is a complementary resource for teachers. f 0 3 5 46 20 4.12 0.7 % 4.1 6.8 62.2 27 16. It is a source for teachers to access information. f 0 3 4 46 21 4.15 0.7 % 4.1 5.4 62.2 28.4 17. it is a source for teachers to access information. f 0 2 6 45 21 4.15 0.68 % 2.7 8.1 60.8 28.4 18. it is a source for teachers to access information f 1 8 22 29 14 3.67 0.95 % 1.4 10.8 29.7 39.2 18.9 19. It contributes to achieving the goals of the education system. f 0 6 20 35 13 3.74 0.84 % 8.1 27 47.3 17.6 20. It makes learning more fun. f 1 2 9 40 22 4.8 0.8 % 1.4 2.7 12.2 54.1 29.7

PARAGRAPH B¶35-40

% 2.7 9.5 20.3 45.9 21.6 11 . Contributes to individual learning. f 1 2 13 39 19 3.99 0.81 % 1.4 2.7 17.6 52.7 25.7 12 . It follows students’ learning process. f 0 6 13 37 18 3.91 0.86 % 8.1 17.6 50 24.3 13 . Provides more practical materials. f 0 5 13 35 21 3.97 0.866 % 6.8 17.6 47.3 28.4 14 . Offers different methods according to their needs. f 0 0 13 41 20 4.09 0.66 % 17.6 55.4 27 15 . It is a complementary resource for teachers. f 0 3 5 46 20 4.12 0.7 % 4.1 6.8 62.2 27 16 . It is a source for teachers to access information. f 0 3 4 46 21 4.15 0.7 % 4.1 5.4 62.2 28.4 17 . it is a source for teachers to access information. f 0 2 6 45 21 4.15 0.68 % 2.7 8.1 60.8 28.4 THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 134 https://www.theamericanjournals.com/index.php/tajssei 18 . it is a source for teachers to access information f 1 8 22 29 14 3.67 0.95 % 1.4 10.8 29.7 39.2 18.9 19 . It contributes to achieving the goals of the education system. f 0 6 20 35 13 3.74 0.84 % 8.1 27 47.3 17.6 20 . It makes learning more fun. f 1 2 9 40 22 4.8 0.8

Shingle match 24 of 48

exact run 11 words LCS 0.105-gram Jaccard 0.37

PARAGRAPH A¶42-46

13. Provides more practical materials. f 0 5 13 35 21 3.97 0.866 % 6.8 17.6 47.3 28.4 14. Offers different methods according to their needs. f 0 0 13 41 20 4.09 0.66 % 17.6 55.4 27 15. It is a complementary resource for teachers. f 0 3 5 46 20 4.12 0.7 % 4.1 6.8 62.2 27 16. It is a source for teachers to access information. f 0 3 4 46 21 4.15 0.7 % 4.1 5.4 62.2 28.4 17. it is a source for teachers to access information. f 0 2 6 45 21 4.15 0.68 % 2.7 8.1 60.8 28.4 18. it is a source for teachers to access information f 1 8 22 29 14 3.67 0.95 % 1.4 10.8 29.7 39.2 18.9 19. It contributes to achieving the goals of the education system. f 0 6 20 35 13 3.74 0.84 % 8.1 27 47.3 17.6 20. It makes learning more fun. f 1 2 9 40 22 4.8 0.8 % 1.4 2.7 12.2 54.1 29.7 21. It makes learning easier. f 3 1 10 44 16 3.93 0.88 % 4.1 1.4 13.5 59.5 21.06 These findings underscore teachers’ diverse perspectives regarding the potential benefits of AI in education. Considering these viewpoints in the ongoing discussions and implementations of AI in educational settings is crucial.

PARAGRAPH B¶35-40

% 2.7 9.5 20.3 45.9 21.6 11 . Contributes to individual learning. f 1 2 13 39 19 3.99 0.81 % 1.4 2.7 17.6 52.7 25.7 12 . It follows students’ learning process. f 0 6 13 37 18 3.91 0.86 % 8.1 17.6 50 24.3 13 . Provides more practical materials. f 0 5 13 35 21 3.97 0.866 % 6.8 17.6 47.3 28.4 14 . Offers different methods according to their needs. f 0 0 13 41 20 4.09 0.66 % 17.6 55.4 27 15 . It is a complementary resource for teachers. f 0 3 5 46 20 4.12 0.7 % 4.1 6.8 62.2 27 16 . It is a source for teachers to access information. f 0 3 4 46 21 4.15 0.7 % 4.1 5.4 62.2 28.4 17 . it is a source for teachers to access information. f 0 2 6 45 21 4.15 0.68 % 2.7 8.1 60.8 28.4 THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 134 https://www.theamericanjournals.com/index.php/tajssei 18 . it is a source for teachers to access information f 1 8 22 29 14 3.67 0.95 % 1.4 10.8 29.7 39.2 18.9 19 . It contributes to achieving the goals of the education system. f 0 6 20 35 13 3.74 0.84 % 8.1 27 47.3 17.6 20 . It makes learning more fun. f 1 2 9 40 22 4.8 0.8

Shingle match 25 of 48

exact run 22 words LCS 0.115-gram Jaccard 0.41

PARAGRAPH A¶42-46

13. Provides more practical materials. f 0 5 13 35 21 3.97 0.866 % 6.8 17.6 47.3 28.4 14. Offers different methods according to their needs. f 0 0 13 41 20 4.09 0.66 % 17.6 55.4 27 15. It is a complementary resource for teachers. f 0 3 5 46 20 4.12 0.7 % 4.1 6.8 62.2 27 16. It is a source for teachers to access information. f 0 3 4 46 21 4.15 0.7 % 4.1 5.4 62.2 28.4 17. it is a source for teachers to access information. f 0 2 6 45 21 4.15 0.68 % 2.7 8.1 60.8 28.4 18. it is a source for teachers to access information f 1 8 22 29 14 3.67 0.95 % 1.4 10.8 29.7 39.2 18.9 19. It contributes to achieving the goals of the education system. f 0 6 20 35 13 3.74 0.84 % 8.1 27 47.3 17.6 20. It makes learning more fun. f 1 2 9 40 22 4.8 0.8 % 1.4 2.7 12.2 54.1 29.7 21. It makes learning easier. f 3 1 10 44 16 3.93 0.88 % 4.1 1.4 13.5 59.5 21.06 These findings underscore teachers’ diverse perspectives regarding the potential benefits of AI in education. Considering these viewpoints in the ongoing discussions and implementations of AI in educational settings is crucial.

PARAGRAPH B¶36-40

f 0 6 13 37 18 3.91 0.86 % 8.1 17.6 50 24.3 13 . Provides more practical materials. f 0 5 13 35 21 3.97 0.866 % 6.8 17.6 47.3 28.4 14 . Offers different methods according to their needs. f 0 0 13 41 20 4.09 0.66 % 17.6 55.4 27 15 . It is a complementary resource for teachers. f 0 3 5 46 20 4.12 0.7 % 4.1 6.8 62.2 27 16 . It is a source for teachers to access information. f 0 3 4 46 21 4.15 0.7 % 4.1 5.4 62.2 28.4 17 . it is a source for teachers to access information. f 0 2 6 45 21 4.15 0.68 % 2.7 8.1 60.8 28.4 THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 134 https://www.theamericanjournals.com/index.php/tajssei 18 . it is a source for teachers to access information f 1 8 22 29 14 3.67 0.95 % 1.4 10.8 29.7 39.2 18.9 19 . It contributes to achieving the goals of the education system. f 0 6 20 35 13 3.74 0.84 % 8.1 27 47.3 17.6 20 . It makes learning more fun. f 1 2 9 40 22 4.8 0.8

Shingle match 26 of 48

exact run 11 words LCS 0.115-gram Jaccard 0.48

PARAGRAPH A¶41-45

11. Contributes to individual learning. f 1 2 13 39 19 3.99 0.81 % 1.4 2.7 17.6 52.7 25.7 12. It follows students’ learning process. f 0 6 13 37 18 3.91 0.86 % 8.1 17.6 50 24.3 13. Provides more practical materials. f 0 5 13 35 21 3.97 0.866 % 6.8 17.6 47.3 28.4 14. Offers different methods according to their needs. f 0 0 13 41 20 4.09 0.66 % 17.6 55.4 27 15. It is a complementary resource for teachers. f 0 3 5 46 20 4.12 0.7 % 4.1 6.8 62.2 27 16. It is a source for teachers to access information. f 0 3 4 46 21 4.15 0.7 % 4.1 5.4 62.2 28.4 17. it is a source for teachers to access information. f 0 2 6 45 21 4.15 0.68 % 2.7 8.1 60.8 28.4 18. it is a source for teachers to access information f 1 8 22 29 14 3.67 0.95 % 1.4 10.8 29.7 39.2 18.9 19. It contributes to achieving the goals of the education system. f 0 6 20 35 13 3.74 0.84 % 8.1 27 47.3 17.6 20. It makes learning more fun. f 1 2 9 40 22 4.8 0.8 % 1.4 2.7 12.2 54.1 29.7

PARAGRAPH B¶36-40

f 0 6 13 37 18 3.91 0.86 % 8.1 17.6 50 24.3 13 . Provides more practical materials. f 0 5 13 35 21 3.97 0.866 % 6.8 17.6 47.3 28.4 14 . Offers different methods according to their needs. f 0 0 13 41 20 4.09 0.66 % 17.6 55.4 27 15 . It is a complementary resource for teachers. f 0 3 5 46 20 4.12 0.7 % 4.1 6.8 62.2 27 16 . It is a source for teachers to access information. f 0 3 4 46 21 4.15 0.7 % 4.1 5.4 62.2 28.4 17 . it is a source for teachers to access information. f 0 2 6 45 21 4.15 0.68 % 2.7 8.1 60.8 28.4 THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 134 https://www.theamericanjournals.com/index.php/tajssei 18 . it is a source for teachers to access information f 1 8 22 29 14 3.67 0.95 % 1.4 10.8 29.7 39.2 18.9 19 . It contributes to achieving the goals of the education system. f 0 6 20 35 13 3.74 0.84 % 8.1 27 47.3 17.6 20 . It makes learning more fun. f 1 2 9 40 22 4.8 0.8

Shingle match 27 of 48

exact run 23 words LCS 0.105-gram Jaccard 0.31

PARAGRAPH A¶42-46

13. Provides more practical materials. f 0 5 13 35 21 3.97 0.866 % 6.8 17.6 47.3 28.4 14. Offers different methods according to their needs. f 0 0 13 41 20 4.09 0.66 % 17.6 55.4 27 15. It is a complementary resource for teachers. f 0 3 5 46 20 4.12 0.7 % 4.1 6.8 62.2 27 16. It is a source for teachers to access information. f 0 3 4 46 21 4.15 0.7 % 4.1 5.4 62.2 28.4 17. it is a source for teachers to access information. f 0 2 6 45 21 4.15 0.68 % 2.7 8.1 60.8 28.4 18. it is a source for teachers to access information f 1 8 22 29 14 3.67 0.95 % 1.4 10.8 29.7 39.2 18.9 19. It contributes to achieving the goals of the education system. f 0 6 20 35 13 3.74 0.84 % 8.1 27 47.3 17.6 20. It makes learning more fun. f 1 2 9 40 22 4.8 0.8 % 1.4 2.7 12.2 54.1 29.7 21. It makes learning easier. f 3 1 10 44 16 3.93 0.88 % 4.1 1.4 13.5 59.5 21.06 These findings underscore teachers’ diverse perspectives regarding the potential benefits of AI in education. Considering these viewpoints in the ongoing discussions and implementations of AI in educational settings is crucial.

PARAGRAPH B¶37-41

f 0 0 13 41 20 4.09 0.66 % 17.6 55.4 27 15 . It is a complementary resource for teachers. f 0 3 5 46 20 4.12 0.7 % 4.1 6.8 62.2 27 16 . It is a source for teachers to access information. f 0 3 4 46 21 4.15 0.7 % 4.1 5.4 62.2 28.4 17 . it is a source for teachers to access information. f 0 2 6 45 21 4.15 0.68 % 2.7 8.1 60.8 28.4 THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 134 https://www.theamericanjournals.com/index.php/tajssei 18 . it is a source for teachers to access information f 1 8 22 29 14 3.67 0.95 % 1.4 10.8 29.7 39.2 18.9 19 . It contributes to achieving the goals of the education system. f 0 6 20 35 13 3.74 0.84 % 8.1 27 47.3 17.6 20 . It makes learning more fun. f 1 2 9 40 22 4.8 0.8 % 1.4 2.7 12.2 54.1 29.7 21 . It makes learning easier. f 3 1 10 44 16 3.93 0.88 % 4.1 1.4 13.5 59.5 21.06 These findings reveal the varied opinions teachers have about the potential benefits of AI in education, highlighting the importance of considering these perspectives in discussions and implementations of AI in educational settings. The survey results show that many teachers are optimistic about AI's positive impact on personalized learning, productivity, and the economy. They also believe AI can save time, monitor learning progress, and support the achievement of educational goals. These viewpoints emphasize AI's potential as a valuable supplementary resource for teachers, aiding in information access and making learning more enjoyable and efficient. However, it is important to address the concerns some teachers have regarding AI's use in education. Table 4 outlines these specific concerns. According to the survey, a significant majority (60%) of teachers worry that integrating AI into education might lead to a loss of emotional connection. Additionally, 47% express

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exact run 23 words LCS 0.085-gram Jaccard 0.22

PARAGRAPH A¶43-47

15. It is a complementary resource for teachers. f 0 3 5 46 20 4.12 0.7 % 4.1 6.8 62.2 27 16. It is a source for teachers to access information. f 0 3 4 46 21 4.15 0.7 % 4.1 5.4 62.2 28.4 17. it is a source for teachers to access information. f 0 2 6 45 21 4.15 0.68 % 2.7 8.1 60.8 28.4 18. it is a source for teachers to access information f 1 8 22 29 14 3.67 0.95 % 1.4 10.8 29.7 39.2 18.9 19. It contributes to achieving the goals of the education system. f 0 6 20 35 13 3.74 0.84 % 8.1 27 47.3 17.6 20. It makes learning more fun. f 1 2 9 40 22 4.8 0.8 % 1.4 2.7 12.2 54.1 29.7 21. It makes learning easier. f 3 1 10 44 16 3.93 0.88 % 4.1 1.4 13.5 59.5 21.06 These findings underscore teachers’ diverse perspectives regarding the potential benefits of AI in education. Considering these viewpoints in the ongoing discussions and implementations of AI in educational settings is crucial. The findings from the teacher survey regarding the potential benefits of AI in education highlight the diverse perspectives educators hold on this matter. A significant portion of teachers expressed optimism about the potential positive impact of AI on individualized learning, productivity, and the economy. Moreover, many teachers believe AI can save time, monitor the learning process, and contribute to achieving the education system’s goals. These viewpoints underscore the potential value of AI as a complementary resource for teachers and a source for accessing information, ultimately making learning more enjoyable and efficient.

PARAGRAPH B¶38-42

f 0 3 4 46 21 4.15 0.7 % 4.1 5.4 62.2 28.4 17 . it is a source for teachers to access information. f 0 2 6 45 21 4.15 0.68 % 2.7 8.1 60.8 28.4 THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 134 https://www.theamericanjournals.com/index.php/tajssei 18 . it is a source for teachers to access information f 1 8 22 29 14 3.67 0.95 % 1.4 10.8 29.7 39.2 18.9 19 . It contributes to achieving the goals of the education system. f 0 6 20 35 13 3.74 0.84 % 8.1 27 47.3 17.6 20 . It makes learning more fun. f 1 2 9 40 22 4.8 0.8 % 1.4 2.7 12.2 54.1 29.7 21 . It makes learning easier. f 3 1 10 44 16 3.93 0.88 % 4.1 1.4 13.5 59.5 21.06 These findings reveal the varied opinions teachers have about the potential benefits of AI in education, highlighting the importance of considering these perspectives in discussions and implementations of AI in educational settings. The survey results show that many teachers are optimistic about AI's positive impact on personalized learning, productivity, and the economy. They also believe AI can save time, monitor learning progress, and support the achievement of educational goals. These viewpoints emphasize AI's potential as a valuable supplementary resource for teachers, aiding in information access and making learning more enjoyable and efficient. However, it is important to address the concerns some teachers have regarding AI's use in education. Table 4 outlines these specific concerns. According to the survey, a significant majority (60%) of teachers worry that integrating AI into education might lead to a loss of emotional connection. Additionally, 47% express concerns about AI's potential security risks, with 33% remaining undecided on this issue. Furthermore, 47% of teachers are skeptical about AI's ability to ensure information confidentiality, while 36% are uncertain.

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exact run 19 words LCS 0.085-gram Jaccard 0.18

PARAGRAPH A¶43-47

15. It is a complementary resource for teachers. f 0 3 5 46 20 4.12 0.7 % 4.1 6.8 62.2 27 16. It is a source for teachers to access information. f 0 3 4 46 21 4.15 0.7 % 4.1 5.4 62.2 28.4 17. it is a source for teachers to access information. f 0 2 6 45 21 4.15 0.68 % 2.7 8.1 60.8 28.4 18. it is a source for teachers to access information f 1 8 22 29 14 3.67 0.95 % 1.4 10.8 29.7 39.2 18.9 19. It contributes to achieving the goals of the education system. f 0 6 20 35 13 3.74 0.84 % 8.1 27 47.3 17.6 20. It makes learning more fun. f 1 2 9 40 22 4.8 0.8 % 1.4 2.7 12.2 54.1 29.7 21. It makes learning easier. f 3 1 10 44 16 3.93 0.88 % 4.1 1.4 13.5 59.5 21.06 These findings underscore teachers’ diverse perspectives regarding the potential benefits of AI in education. Considering these viewpoints in the ongoing discussions and implementations of AI in educational settings is crucial. The findings from the teacher survey regarding the potential benefits of AI in education highlight the diverse perspectives educators hold on this matter. A significant portion of teachers expressed optimism about the potential positive impact of AI on individualized learning, productivity, and the economy. Moreover, many teachers believe AI can save time, monitor the learning process, and contribute to achieving the education system’s goals. These viewpoints underscore the potential value of AI as a complementary resource for teachers and a source for accessing information, ultimately making learning more enjoyable and efficient.

PARAGRAPH B¶38-43

f 0 3 4 46 21 4.15 0.7 % 4.1 5.4 62.2 28.4 17 . it is a source for teachers to access information. f 0 2 6 45 21 4.15 0.68 % 2.7 8.1 60.8 28.4 THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 134 https://www.theamericanjournals.com/index.php/tajssei 18 . it is a source for teachers to access information f 1 8 22 29 14 3.67 0.95 % 1.4 10.8 29.7 39.2 18.9 19 . It contributes to achieving the goals of the education system. f 0 6 20 35 13 3.74 0.84 % 8.1 27 47.3 17.6 20 . It makes learning more fun. f 1 2 9 40 22 4.8 0.8 % 1.4 2.7 12.2 54.1 29.7 21 . It makes learning easier. f 3 1 10 44 16 3.93 0.88 % 4.1 1.4 13.5 59.5 21.06 These findings reveal the varied opinions teachers have about the potential benefits of AI in education, highlighting the importance of considering these perspectives in discussions and implementations of AI in educational settings. The survey results show that many teachers are optimistic about AI's positive impact on personalized learning, productivity, and the economy. They also believe AI can save time, monitor learning progress, and support the achievement of educational goals. These viewpoints emphasize AI's potential as a valuable supplementary resource for teachers, aiding in information access and making learning more enjoyable and efficient. However, it is important to address the concerns some teachers have regarding AI's use in education. Table 4 outlines these specific concerns. According to the survey, a significant majority (60%) of teachers worry that integrating AI into education might lead to a loss of emotional connection. Additionally, 47% express concerns about AI's potential security risks, with 33% remaining undecided on this issue. Furthermore, 47% of teachers are skeptical about AI's ability to ensure information confidentiality, while 36% are uncertain. Regarding the impact on teaching and learning, 51% of teachers are concerned that AI could lead to passivity among students. Despite this, 60% do not believe AI will make teachers lazy, and 70% think AI will not reduce the researchers' role of teachers. However, 50% of teachers worry that AI integration might introduce ethical issues in the educational environment. These insights illustrate the diverse perspectives on AI's implications in education and underscore the need to consider these viewpoints in the ongoing debate about AI integration in educational settings. AI encompasses various applications, including its role as an auxiliary system for education and a tool for knowledge management. Teachers' opinions on the scope of AI are detailed in Table 5.

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exact run 20 words LCS 0.095-gram Jaccard 0.15

PARAGRAPH A¶44-48

17. it is a source for teachers to access information. f 0 2 6 45 21 4.15 0.68 % 2.7 8.1 60.8 28.4 18. it is a source for teachers to access information f 1 8 22 29 14 3.67 0.95 % 1.4 10.8 29.7 39.2 18.9 19. It contributes to achieving the goals of the education system. f 0 6 20 35 13 3.74 0.84 % 8.1 27 47.3 17.6 20. It makes learning more fun. f 1 2 9 40 22 4.8 0.8 % 1.4 2.7 12.2 54.1 29.7 21. It makes learning easier. f 3 1 10 44 16 3.93 0.88 % 4.1 1.4 13.5 59.5 21.06 These findings underscore teachers’ diverse perspectives regarding the potential benefits of AI in education. Considering these viewpoints in the ongoing discussions and implementations of AI in educational settings is crucial. The findings from the teacher survey regarding the potential benefits of AI in education highlight the diverse perspectives educators hold on this matter. A significant portion of teachers expressed optimism about the potential positive impact of AI on individualized learning, productivity, and the economy. Moreover, many teachers believe AI can save time, monitor the learning process, and contribute to achieving the education system’s goals. These viewpoints underscore the potential value of AI as a complementary resource for teachers and a source for accessing information, ultimately making learning more enjoyable and efficient. However, it is essential to acknowledge that a notable portion of teachers also harbor concerns about the use of AI in education. Table 4 presents the specific findings related to these concerns.

PARAGRAPH B¶39-43

134 https://www.theamericanjournals.com/index.php/tajssei 18 . it is a source for teachers to access information f 1 8 22 29 14 3.67 0.95 % 1.4 10.8 29.7 39.2 18.9 19 . It contributes to achieving the goals of the education system. f 0 6 20 35 13 3.74 0.84 % 8.1 27 47.3 17.6 20 . It makes learning more fun. f 1 2 9 40 22 4.8 0.8 % 1.4 2.7 12.2 54.1 29.7 21 . It makes learning easier. f 3 1 10 44 16 3.93 0.88 % 4.1 1.4 13.5 59.5 21.06 These findings reveal the varied opinions teachers have about the potential benefits of AI in education, highlighting the importance of considering these perspectives in discussions and implementations of AI in educational settings. The survey results show that many teachers are optimistic about AI's positive impact on personalized learning, productivity, and the economy. They also believe AI can save time, monitor learning progress, and support the achievement of educational goals. These viewpoints emphasize AI's potential as a valuable supplementary resource for teachers, aiding in information access and making learning more enjoyable and efficient. However, it is important to address the concerns some teachers have regarding AI's use in education. Table 4 outlines these specific concerns. According to the survey, a significant majority (60%) of teachers worry that integrating AI into education might lead to a loss of emotional connection. Additionally, 47% express concerns about AI's potential security risks, with 33% remaining undecided on this issue. Furthermore, 47% of teachers are skeptical about AI's ability to ensure information confidentiality, while 36% are uncertain. Regarding the impact on teaching and learning, 51% of teachers are concerned that AI could lead to passivity among students. Despite this, 60% do not believe AI will make teachers lazy, and 70% think AI will not reduce the researchers' role of teachers. However, 50% of teachers worry that AI integration might introduce ethical issues in the educational environment. These insights illustrate the diverse perspectives on AI's implications in education and underscore the need to consider these viewpoints in the ongoing debate about AI integration in educational settings. AI encompasses various applications, including its role as an auxiliary system for education and a tool for knowledge management. Teachers' opinions on the scope of AI are detailed in Table 5.

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exact run 11 words LCS 0.145-gram Jaccard 0.08

PARAGRAPH A¶54-58

27. Dulls the research-oriented personalities of teachers. f 7 27 19 17 4 2.78 1.07 % 9.5 36.5 25.7 23 5.4 28. Creates ethical gaps f 4 14 21 24 11 3.32 1.11 % 5.4 18.9 28.4 32.4 14.9 personality of teachers. Nevertheless, 50% of teachers believed that integrating AI may create an ethical gap in the educational setting. These findings shed light on teachers’ diverse perspectives regarding the implications of AI in education. It is essential to consider these viewpoints in the ongoing discourse surrounding the integration of AI in educational settings. AI encompasses a wide range of applications, including its role as an auxiliary system for education and as a tool for knowledge management. Teachers’ opinions about the scope of AI can be seen in Table 5. Table 5 Findings on the scope of AI Scope of Artificial Intelligence 1 2 3 4 5 Mean SD 3. It is an auxiliary system for education. f 0 1 14 39 20 4.05 0.71 % 1.4 18.9 52.7 27 4. It is a tool that can be used in knowledge management f 0 0 5 44 25 4.27 0.58 % 6.8 59.5 33.8 According to the survey results, most teachers (58%) perceive AI as a beneficial system that supports and enhances the educational process. Additionally, an overwhelming 90% of teachers view AI as a valuable tool for knowledge management. The findings about the concept of AI can be seen in Table 6.

PARAGRAPH B¶41-45

% 1.4 2.7 12.2 54.1 29.7 21 . It makes learning easier. f 3 1 10 44 16 3.93 0.88 % 4.1 1.4 13.5 59.5 21.06 These findings reveal the varied opinions teachers have about the potential benefits of AI in education, highlighting the importance of considering these perspectives in discussions and implementations of AI in educational settings. The survey results show that many teachers are optimistic about AI's positive impact on personalized learning, productivity, and the economy. They also believe AI can save time, monitor learning progress, and support the achievement of educational goals. These viewpoints emphasize AI's potential as a valuable supplementary resource for teachers, aiding in information access and making learning more enjoyable and efficient. However, it is important to address the concerns some teachers have regarding AI's use in education. Table 4 outlines these specific concerns. According to the survey, a significant majority (60%) of teachers worry that integrating AI into education might lead to a loss of emotional connection. Additionally, 47% express concerns about AI's potential security risks, with 33% remaining undecided on this issue. Furthermore, 47% of teachers are skeptical about AI's ability to ensure information confidentiality, while 36% are uncertain. Regarding the impact on teaching and learning, 51% of teachers are concerned that AI could lead to passivity among students. Despite this, 60% do not believe AI will make teachers lazy, and 70% think AI will not reduce the researchers' role of teachers. However, 50% of teachers worry that AI integration might introduce ethical issues in the educational environment. These insights illustrate the diverse perspectives on AI's implications in education and underscore the need to consider these viewpoints in the ongoing debate about AI integration in educational settings. AI encompasses various applications, including its role as an auxiliary system for education and a tool for knowledge management. Teachers' opinions on the scope of AI are detailed in Table 5. Table 5: Findings on the scope of AI Scope of Artificial Intelligence 1 2 3 4 5 Mean SD 3. It is an auxiliary system for education. f 0 1 14 39 20 4.05 0.71 THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 135 https://www.theamericanjournals.com/index.php/tajssei

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exact run 33 words LCS 0.135-gram Jaccard 0.17

PARAGRAPH A¶55-59

personality of teachers. Nevertheless, 50% of teachers believed that integrating AI may create an ethical gap in the educational setting. These findings shed light on teachers’ diverse perspectives regarding the implications of AI in education. It is essential to consider these viewpoints in the ongoing discourse surrounding the integration of AI in educational settings. AI encompasses a wide range of applications, including its role as an auxiliary system for education and as a tool for knowledge management. Teachers’ opinions about the scope of AI can be seen in Table 5. Table 5 Findings on the scope of AI Scope of Artificial Intelligence 1 2 3 4 5 Mean SD 3. It is an auxiliary system for education. f 0 1 14 39 20 4.05 0.71 % 1.4 18.9 52.7 27 4. It is a tool that can be used in knowledge management f 0 0 5 44 25 4.27 0.58 % 6.8 59.5 33.8 According to the survey results, most teachers (58%) perceive AI as a beneficial system that supports and enhances the educational process. Additionally, an overwhelming 90% of teachers view AI as a valuable tool for knowledge management. The findings about the concept of AI can be seen in Table 6. Table 6 Findings on the concept of AI The Concept of Artificial Intelligence 1 2 3 4 5 Mean SD 5. It is a computer-controlled robot designed to perform tasks. f 3 4 6 39 22 3.99 0.98 % 4.1 5.4 8.1 52.7 29.7

PARAGRAPH B¶42-46

concerns about AI's potential security risks, with 33% remaining undecided on this issue. Furthermore, 47% of teachers are skeptical about AI's ability to ensure information confidentiality, while 36% are uncertain. Regarding the impact on teaching and learning, 51% of teachers are concerned that AI could lead to passivity among students. Despite this, 60% do not believe AI will make teachers lazy, and 70% think AI will not reduce the researchers' role of teachers. However, 50% of teachers worry that AI integration might introduce ethical issues in the educational environment. These insights illustrate the diverse perspectives on AI's implications in education and underscore the need to consider these viewpoints in the ongoing debate about AI integration in educational settings. AI encompasses various applications, including its role as an auxiliary system for education and a tool for knowledge management. Teachers' opinions on the scope of AI are detailed in Table 5. Table 5: Findings on the scope of AI Scope of Artificial Intelligence 1 2 3 4 5 Mean SD 3. It is an auxiliary system for education. f 0 1 14 39 20 4.05 0.71 THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 135 https://www.theamericanjournals.com/index.php/tajssei % 1.4 18.9 52.7 27 4. It is a tool that can be used in knowledge management f 0 0 5 44 25 4.27 0.58 % 6.8 59.5 33.8 The survey results indicate that the majority of teachers (58%) view AI as a valuable system that supports and enhances the educational process.

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exact run 10 words LCS 0.045-gram Jaccard 0.01

PARAGRAPH A¶36-40

Regarding its role in the educational process, 66% of teachers consider AI necessary for monitoring the learning process, while 77% believe it will contribute to individualized learning. Moreover, 75% of teachers think AI can effectively follow students’ learning processes and provide more effective learning materials. Additionally, 80% of teachers believe that AI can offer different methods according to students’ needs and is a complementary resource for teachers. Furthermore, a significant majority (90%) of teachers view AI as a valuable source for accessing information and has the potential to save time. Most teachers think AI makes learning more enjoyable and facilitates more accessible learning experiences. Regarding the long-term impact of AI on education, 58% of teachers believe that AI will lead to more permanent learning, while 30% remained undecided on this issue. Finally, 65% of teachers believed that AI would contribute to achieving the education system’s goals. Positive aspects (benefits) of Artificial Intelligence 1 2 3 4 5 Mean SD 6. It is necessary for the individualization of education. f 1 16 25 19 13 3.36 1.05 % 1.4 21.6 33.8 25.7 17.6 7. Contributes to the economy. f 0 4 21 34 15 3.81 0.82 % 5.4 28.4 45.9 20.3 8. Increases productivity. f 4 9 22 30 9 3.42 1.03 % 5.4 12.2 29.7 40.5 12.2 9. Saves time. f 0 2 1 46 25 4.20 0.62 % 2.7 1.4 62.2 33.8 10. It is necessary to monitor the learning process. f 2 7 15 34 16 3.75 0.99 % 2.7 9.5 20.3 45.9 21.6

PARAGRAPH B¶42-46

concerns about AI's potential security risks, with 33% remaining undecided on this issue. Furthermore, 47% of teachers are skeptical about AI's ability to ensure information confidentiality, while 36% are uncertain. Regarding the impact on teaching and learning, 51% of teachers are concerned that AI could lead to passivity among students. Despite this, 60% do not believe AI will make teachers lazy, and 70% think AI will not reduce the researchers' role of teachers. However, 50% of teachers worry that AI integration might introduce ethical issues in the educational environment. These insights illustrate the diverse perspectives on AI's implications in education and underscore the need to consider these viewpoints in the ongoing debate about AI integration in educational settings. AI encompasses various applications, including its role as an auxiliary system for education and a tool for knowledge management. Teachers' opinions on the scope of AI are detailed in Table 5. Table 5: Findings on the scope of AI Scope of Artificial Intelligence 1 2 3 4 5 Mean SD 3. It is an auxiliary system for education. f 0 1 14 39 20 4.05 0.71 THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 135 https://www.theamericanjournals.com/index.php/tajssei % 1.4 18.9 52.7 27 4. It is a tool that can be used in knowledge management f 0 0 5 44 25 4.27 0.58 % 6.8 59.5 33.8 The survey results indicate that the majority of teachers (58%) view AI as a valuable system that supports and enhances the educational process.

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exact run 10 words LCS 0.045-gram Jaccard 0.02

PARAGRAPH A¶49-53

According to a survey among teachers, a significant majority (60%) expressed concerns that integrating AI into the educational environment may lead to a lack of emotional connection. Additionally, 47% of teachers raised apprehensions regarding the potential threat to security posed by AI. Notably, a considerable portion (33%) of the respondents remained undecided. Furthermore, 47% of teachers expressed scepticism about AI’s ability to safeguard the confidentiality of information, with 36% remaining undecided on this matter. Regarding the impact on teaching and learning, most teachers (51%) believe that AI may lead to passivity among individuals. However, 60% of teachers do not share the concern that AI will make teachers lazy. Moreover, 70% of teachers think that AI will not diminish the researcher Negative aspects (harms) of Artificial Intelligence 1 2 3 4 5 Mean SD 22. It will lead to an emotionless educational environment. f 5 6 18 28 17 3.60 1.13 % 6.8 8.1 24.3 37.4 23 23. It threatens security. f 2 12 25 25 10 3.39 1.00 % 2.7 16.2 33.8 33.8 13.5 24. It cannot ensure the confidentiality of information. f 1 11 27 25 10 3.41 1.00 % 1.4 14.9 36.5 33.8 13.5 25. Makes the individual passive. f 2 17 17 25 13 3.38 1.10 % 2.7 23 23 33.8 17.6 26. Makes the teacher lazy. f 2 26 16 25 5 3.07 1.03 % 2.7 35.1 21.6 33.8 6.8

PARAGRAPH B¶42-46

concerns about AI's potential security risks, with 33% remaining undecided on this issue. Furthermore, 47% of teachers are skeptical about AI's ability to ensure information confidentiality, while 36% are uncertain. Regarding the impact on teaching and learning, 51% of teachers are concerned that AI could lead to passivity among students. Despite this, 60% do not believe AI will make teachers lazy, and 70% think AI will not reduce the researchers' role of teachers. However, 50% of teachers worry that AI integration might introduce ethical issues in the educational environment. These insights illustrate the diverse perspectives on AI's implications in education and underscore the need to consider these viewpoints in the ongoing debate about AI integration in educational settings. AI encompasses various applications, including its role as an auxiliary system for education and a tool for knowledge management. Teachers' opinions on the scope of AI are detailed in Table 5. Table 5: Findings on the scope of AI Scope of Artificial Intelligence 1 2 3 4 5 Mean SD 3. It is an auxiliary system for education. f 0 1 14 39 20 4.05 0.71 THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 135 https://www.theamericanjournals.com/index.php/tajssei % 1.4 18.9 52.7 27 4. It is a tool that can be used in knowledge management f 0 0 5 44 25 4.27 0.58 % 6.8 59.5 33.8 The survey results indicate that the majority of teachers (58%) view AI as a valuable system that supports and enhances the educational process.

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exact run 10 words LCS 0.135-gram Jaccard 0.12

PARAGRAPH A¶57-61

Table 5 Findings on the scope of AI Scope of Artificial Intelligence 1 2 3 4 5 Mean SD 3. It is an auxiliary system for education. f 0 1 14 39 20 4.05 0.71 % 1.4 18.9 52.7 27 4. It is a tool that can be used in knowledge management f 0 0 5 44 25 4.27 0.58 % 6.8 59.5 33.8 According to the survey results, most teachers (58%) perceive AI as a beneficial system that supports and enhances the educational process. Additionally, an overwhelming 90% of teachers view AI as a valuable tool for knowledge management. The findings about the concept of AI can be seen in Table 6. Table 6 Findings on the concept of AI The Concept of Artificial Intelligence 1 2 3 4 5 Mean SD 5. It is a computer-controlled robot designed to perform tasks. f 3 4 6 39 22 3.99 0.98 % 4.1 5.4 8.1 52.7 29.7 1. It is high-level technology. f 0 2 4 34 34 4.35 0.71 % 2.7 5.4 45.9 45.9 2. It is a computer program. f 1 3 3 42 25 4.18 0.80 % 1.4 4.1 4.1 56.8 33.8 Teachers contend that AI represents advanced technology, a computer program and a computer-controlled robot designed to execute various tasks. An Independent sample t-test was used to determine whether teachers’ views on AI changed according to their length of service. Teachers’ years of service were divided into two groups. Teachers who worked between 4 and 20 years were defined as the new generation, while those who worked between 21 and 37 years were defined as the old generation. Descriptive findings for this data set are given in the participant’s section. Teachers’ views on AI were determined with a Likert-type scale. The sum of the scores from 1 to 5 was taken and used in the independent

PARAGRAPH B¶42-46

concerns about AI's potential security risks, with 33% remaining undecided on this issue. Furthermore, 47% of teachers are skeptical about AI's ability to ensure information confidentiality, while 36% are uncertain. Regarding the impact on teaching and learning, 51% of teachers are concerned that AI could lead to passivity among students. Despite this, 60% do not believe AI will make teachers lazy, and 70% think AI will not reduce the researchers' role of teachers. However, 50% of teachers worry that AI integration might introduce ethical issues in the educational environment. These insights illustrate the diverse perspectives on AI's implications in education and underscore the need to consider these viewpoints in the ongoing debate about AI integration in educational settings. AI encompasses various applications, including its role as an auxiliary system for education and a tool for knowledge management. Teachers' opinions on the scope of AI are detailed in Table 5. Table 5: Findings on the scope of AI Scope of Artificial Intelligence 1 2 3 4 5 Mean SD 3. It is an auxiliary system for education. f 0 1 14 39 20 4.05 0.71 THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 135 https://www.theamericanjournals.com/index.php/tajssei % 1.4 18.9 52.7 27 4. It is a tool that can be used in knowledge management f 0 0 5 44 25 4.27 0.58 % 6.8 59.5 33.8 The survey results indicate that the majority of teachers (58%) view AI as a valuable system that supports and enhances the educational process.

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personality of teachers. Nevertheless, 50% of teachers believed that integrating AI may create an ethical gap in the educational setting. These findings shed light on teachers’ diverse perspectives regarding the implications of AI in education. It is essential to consider these viewpoints in the ongoing discourse surrounding the integration of AI in educational settings. AI encompasses a wide range of applications, including its role as an auxiliary system for education and as a tool for knowledge management. Teachers’ opinions about the scope of AI can be seen in Table 5. Table 5 Findings on the scope of AI Scope of Artificial Intelligence 1 2 3 4 5 Mean SD 3. It is an auxiliary system for education. f 0 1 14 39 20 4.05 0.71 % 1.4 18.9 52.7 27 4. It is a tool that can be used in knowledge management f 0 0 5 44 25 4.27 0.58 % 6.8 59.5 33.8 According to the survey results, most teachers (58%) perceive AI as a beneficial system that supports and enhances the educational process. Additionally, an overwhelming 90% of teachers view AI as a valuable tool for knowledge management. The findings about the concept of AI can be seen in Table 6. Table 6 Findings on the concept of AI The Concept of Artificial Intelligence 1 2 3 4 5 Mean SD 5. It is a computer-controlled robot designed to perform tasks. f 3 4 6 39 22 3.99 0.98 % 4.1 5.4 8.1 52.7 29.7 1. It is high-level technology. f 0 2 4 34 34 4.35 0.71 % 2.7 5.4 45.9 45.9 2. It is a computer program. f 1 3 3 42 25 4.18 0.80 % 1.4 4.1 4.1 56.8 33.8

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Table 5: Findings on the scope of AI Scope of Artificial Intelligence 1 2 3 4 5 Mean SD 3. It is an auxiliary system for education. f 0 1 14 39 20 4.05 0.71 THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 135 https://www.theamericanjournals.com/index.php/tajssei % 1.4 18.9 52.7 27 4. It is a tool that can be used in knowledge management f 0 0 5 44 25 4.27 0.58 % 6.8 59.5 33.8 The survey results indicate that the majority of teachers (58%) view AI as a valuable system that supports and enhances the educational process. Furthermore, a substantial 90% of teachers consider AI to be a crucial tool for knowledge management. Detailed findings on teachers' perceptions of AI are presented in Table 6. Table 6 Findings on the concept of AI The Concept of Artificial Intelligence 1 2 3 4 5 Mean SD 5. It is a computer-controlled robot designed to perform tasks. f 3 4 6 39 22 3.99 0.98 % 4.1 5.4 8.1 52.7 29.7

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AI encompasses a wide range of applications, including its role as an auxiliary system for education and as a tool for knowledge management. Teachers’ opinions about the scope of AI can be seen in Table 5. Table 5 Findings on the scope of AI Scope of Artificial Intelligence 1 2 3 4 5 Mean SD 3. It is an auxiliary system for education. f 0 1 14 39 20 4.05 0.71 % 1.4 18.9 52.7 27 4. It is a tool that can be used in knowledge management f 0 0 5 44 25 4.27 0.58 % 6.8 59.5 33.8 According to the survey results, most teachers (58%) perceive AI as a beneficial system that supports and enhances the educational process. Additionally, an overwhelming 90% of teachers view AI as a valuable tool for knowledge management. The findings about the concept of AI can be seen in Table 6. Table 6 Findings on the concept of AI The Concept of Artificial Intelligence 1 2 3 4 5 Mean SD 5. It is a computer-controlled robot designed to perform tasks. f 3 4 6 39 22 3.99 0.98 % 4.1 5.4 8.1 52.7 29.7 1. It is high-level technology. f 0 2 4 34 34 4.35 0.71 % 2.7 5.4 45.9 45.9 2. It is a computer program. f 1 3 3 42 25 4.18 0.80 % 1.4 4.1 4.1 56.8 33.8 Teachers contend that AI represents advanced technology, a computer program and a computer-controlled robot designed to execute various tasks. An Independent sample t-test was used to determine whether teachers’ views on AI changed according to their length of service. Teachers’ years of service were divided into two groups. Teachers who worked between 4 and 20 years were defined as the new generation, while those who worked between 21 and 37 years were defined as the old generation. Descriptive findings for this data set are given in the participant’s section. Teachers’ views on AI were determined with a Likert-type scale. The sum of the scores from 1 to 5 was taken and used in the independent Advances in Mobile Learning Educational Research • SyncSci Publishing 936 of 939 Volume 4 Issue 1, 2024 Derya Uygun sample t-test. Descriptive findings regarding the total score of teachers’ views on AI are given in Table 7. Table 7 Descriptive findings of the total score of teachers’ views on AI Min Max Mean SD Kolmogrov Smirnov Total points 84 138 106 9.5 0.198 The lowest total score of the responses to the scale is 84, and the highest is 138. While the mean of the total scores is 106, the standard deviation is 9.5. Kolmogrov-Smirnov was used to examine the normality of the distribution of total scores. When Table 7 is examined, the distribution of the total scores of teachers’ opinions about AI is normal. Since the prerequisites for parametric testing were fulfilled, the independent sample t-test was used to determine whether teachers’ views on AI differed according to their experience. Findings about independent sample t-test can be seen in Table 8.

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THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 135 https://www.theamericanjournals.com/index.php/tajssei % 1.4 18.9 52.7 27 4. It is a tool that can be used in knowledge management f 0 0 5 44 25 4.27 0.58 % 6.8 59.5 33.8 The survey results indicate that the majority of teachers (58%) view AI as a valuable system that supports and enhances the educational process. Furthermore, a substantial 90% of teachers consider AI to be a crucial tool for knowledge management. Detailed findings on teachers' perceptions of AI are presented in Table 6. Table 6 Findings on the concept of AI The Concept of Artificial Intelligence 1 2 3 4 5 Mean SD 5. It is a computer-controlled robot designed to perform tasks. f 3 4 6 39 22 3.99 0.98 % 4.1 5.4 8.1 52.7 29.7 1. It is high-level technology. f 0 2 4 34 34 4.35 0.71 % 2.7 5.4 45.9 45.9 2. It is a computer program. f 1 3 3 42 25 4.18 0.80 % 1.4 4.1 4.1 56.8 33.8 Teachers describe AI as an advanced technology encompassing computer programs and computercontrolled robots designed to perform various tasks. To assess whether teachers' perspectives on AI differed based on their length of service, an independent sample t-test was conducted. Teachers were categorized into two groups based on their years of service: those with 4 to 20 years of experience were classified as the "new generation," while those with 21 to 37 years were classified as the "old generation." Descriptive statistics for these groups are provided in the participants' section. Teachers' views on AI were measured using a Likert-type scale, with scores ranging from 1 to 5. These scores were aggregated and analyzed using the independent sample t-test. Descriptive statistics for the overall scores reflecting teachers' views on AI are detailed in Table 7. Table 7: Descriptive findings of the total score of teachers’ views on AI Min Max Mean SD Kolmogrov Smirnov Total points 84 138 106 9.5 0.198 THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09

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Regarding its role in the educational process, 66% of teachers consider AI necessary for monitoring the learning process, while 77% believe it will contribute to individualized learning. Moreover, 75% of teachers think AI can effectively follow students’ learning processes and provide more effective learning materials. Additionally, 80% of teachers believe that AI can offer different methods according to students’ needs and is a complementary resource for teachers. Furthermore, a significant majority (90%) of teachers view AI as a valuable source for accessing information and has the potential to save time. Most teachers think AI makes learning more enjoyable and facilitates more accessible learning experiences. Regarding the long-term impact of AI on education, 58% of teachers believe that AI will lead to more permanent learning, while 30% remained undecided on this issue. Finally, 65% of teachers believed that AI would contribute to achieving the education system’s goals. Positive aspects (benefits) of Artificial Intelligence 1 2 3 4 5 Mean SD 6. It is necessary for the individualization of education. f 1 16 25 19 13 3.36 1.05 % 1.4 21.6 33.8 25.7 17.6 7. Contributes to the economy. f 0 4 21 34 15 3.81 0.82 % 5.4 28.4 45.9 20.3 8. Increases productivity. f 4 9 22 30 9 3.42 1.03 % 5.4 12.2 29.7 40.5 12.2 9. Saves time. f 0 2 1 46 25 4.20 0.62 % 2.7 1.4 62.2 33.8 10. It is necessary to monitor the learning process. f 2 7 15 34 16 3.75 0.99 % 2.7 9.5 20.3 45.9 21.6

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% 1.4 18.9 52.7 27 4. It is a tool that can be used in knowledge management f 0 0 5 44 25 4.27 0.58 % 6.8 59.5 33.8 The survey results indicate that the majority of teachers (58%) view AI as a valuable system that supports and enhances the educational process. Furthermore, a substantial 90% of teachers consider AI to be a crucial tool for knowledge management. Detailed findings on teachers' perceptions of AI are presented in Table 6. Table 6 Findings on the concept of AI The Concept of Artificial Intelligence 1 2 3 4 5 Mean SD 5. It is a computer-controlled robot designed to perform tasks. f 3 4 6 39 22 3.99 0.98 % 4.1 5.4 8.1 52.7 29.7 1. It is high-level technology. f 0 2 4 34 34 4.35 0.71 % 2.7 5.4 45.9 45.9 2. It is a computer program. f 1 3 3 42 25 4.18 0.80 % 1.4 4.1 4.1 56.8 33.8 Teachers describe AI as an advanced technology encompassing computer programs and computercontrolled robots designed to perform various tasks. To assess whether teachers' perspectives on AI differed based on their length of service, an independent sample t-test was conducted. Teachers were categorized into two groups based on their years of service: those with 4 to 20 years of experience were classified as the "new generation," while those with 21 to 37 years were

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According to a survey among teachers, a significant majority (60%) expressed concerns that integrating AI into the educational environment may lead to a lack of emotional connection. Additionally, 47% of teachers raised apprehensions regarding the potential threat to security posed by AI. Notably, a considerable portion (33%) of the respondents remained undecided. Furthermore, 47% of teachers expressed scepticism about AI’s ability to safeguard the confidentiality of information, with 36% remaining undecided on this matter. Regarding the impact on teaching and learning, most teachers (51%) believe that AI may lead to passivity among individuals. However, 60% of teachers do not share the concern that AI will make teachers lazy. Moreover, 70% of teachers think that AI will not diminish the researcher Negative aspects (harms) of Artificial Intelligence 1 2 3 4 5 Mean SD 22. It will lead to an emotionless educational environment. f 5 6 18 28 17 3.60 1.13 % 6.8 8.1 24.3 37.4 23 23. It threatens security. f 2 12 25 25 10 3.39 1.00 % 2.7 16.2 33.8 33.8 13.5 24. It cannot ensure the confidentiality of information. f 1 11 27 25 10 3.41 1.00 % 1.4 14.9 36.5 33.8 13.5 25. Makes the individual passive. f 2 17 17 25 13 3.38 1.10 % 2.7 23 23 33.8 17.6 26. Makes the teacher lazy. f 2 26 16 25 5 3.07 1.03 % 2.7 35.1 21.6 33.8 6.8

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% 1.4 18.9 52.7 27 4. It is a tool that can be used in knowledge management f 0 0 5 44 25 4.27 0.58 % 6.8 59.5 33.8 The survey results indicate that the majority of teachers (58%) view AI as a valuable system that supports and enhances the educational process. Furthermore, a substantial 90% of teachers consider AI to be a crucial tool for knowledge management. Detailed findings on teachers' perceptions of AI are presented in Table 6. Table 6 Findings on the concept of AI The Concept of Artificial Intelligence 1 2 3 4 5 Mean SD 5. It is a computer-controlled robot designed to perform tasks. f 3 4 6 39 22 3.99 0.98 % 4.1 5.4 8.1 52.7 29.7 1. It is high-level technology. f 0 2 4 34 34 4.35 0.71 % 2.7 5.4 45.9 45.9 2. It is a computer program. f 1 3 3 42 25 4.18 0.80 % 1.4 4.1 4.1 56.8 33.8 Teachers describe AI as an advanced technology encompassing computer programs and computercontrolled robots designed to perform various tasks. To assess whether teachers' perspectives on AI differed based on their length of service, an independent sample t-test was conducted. Teachers were categorized into two groups based on their years of service: those with 4 to 20 years of experience were classified as the "new generation," while those with 21 to 37 years were

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personality of teachers. Nevertheless, 50% of teachers believed that integrating AI may create an ethical gap in the educational setting. These findings shed light on teachers’ diverse perspectives regarding the implications of AI in education. It is essential to consider these viewpoints in the ongoing discourse surrounding the integration of AI in educational settings. AI encompasses a wide range of applications, including its role as an auxiliary system for education and as a tool for knowledge management. Teachers’ opinions about the scope of AI can be seen in Table 5. Table 5 Findings on the scope of AI Scope of Artificial Intelligence 1 2 3 4 5 Mean SD 3. It is an auxiliary system for education. f 0 1 14 39 20 4.05 0.71 % 1.4 18.9 52.7 27 4. It is a tool that can be used in knowledge management f 0 0 5 44 25 4.27 0.58 % 6.8 59.5 33.8 According to the survey results, most teachers (58%) perceive AI as a beneficial system that supports and enhances the educational process. Additionally, an overwhelming 90% of teachers view AI as a valuable tool for knowledge management. The findings about the concept of AI can be seen in Table 6. Table 6 Findings on the concept of AI The Concept of Artificial Intelligence 1 2 3 4 5 Mean SD 5. It is a computer-controlled robot designed to perform tasks. f 3 4 6 39 22 3.99 0.98 % 4.1 5.4 8.1 52.7 29.7

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% 1.4 18.9 52.7 27 4. It is a tool that can be used in knowledge management f 0 0 5 44 25 4.27 0.58 % 6.8 59.5 33.8 The survey results indicate that the majority of teachers (58%) view AI as a valuable system that supports and enhances the educational process. Furthermore, a substantial 90% of teachers consider AI to be a crucial tool for knowledge management. Detailed findings on teachers' perceptions of AI are presented in Table 6. Table 6 Findings on the concept of AI The Concept of Artificial Intelligence 1 2 3 4 5 Mean SD 5. It is a computer-controlled robot designed to perform tasks. f 3 4 6 39 22 3.99 0.98 % 4.1 5.4 8.1 52.7 29.7 1. It is high-level technology. f 0 2 4 34 34 4.35 0.71 % 2.7 5.4 45.9 45.9 2. It is a computer program. f 1 3 3 42 25 4.18 0.80 % 1.4 4.1 4.1 56.8 33.8 Teachers describe AI as an advanced technology encompassing computer programs and computercontrolled robots designed to perform various tasks. To assess whether teachers' perspectives on AI differed based on their length of service, an independent sample t-test was conducted. Teachers were categorized into two groups based on their years of service: those with 4 to 20 years of experience were classified as the "new generation," while those with 21 to 37 years were

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Teachers contend that AI represents advanced technology, a computer program and a computer-controlled robot designed to execute various tasks. An Independent sample t-test was used to determine whether teachers’ views on AI changed according to their length of service. Teachers’ years of service were divided into two groups. Teachers who worked between 4 and 20 years were defined as the new generation, while those who worked between 21 and 37 years were defined as the old generation. Descriptive findings for this data set are given in the participant’s section. Teachers’ views on AI were determined with a Likert-type scale. The sum of the scores from 1 to 5 was taken and used in the independent Advances in Mobile Learning Educational Research • SyncSci Publishing 936 of 939 Volume 4 Issue 1, 2024 Derya Uygun sample t-test. Descriptive findings regarding the total score of teachers’ views on AI are given in Table 7. Table 7 Descriptive findings of the total score of teachers’ views on AI Min Max Mean SD Kolmogrov Smirnov Total points 84 138 106 9.5 0.198 The lowest total score of the responses to the scale is 84, and the highest is 138. While the mean of the total scores is 106, the standard deviation is 9.5. Kolmogrov-Smirnov was used to examine the normality of the distribution of total scores. When Table 7 is examined, the distribution of the total scores of teachers’ opinions about AI is normal. Since the prerequisites for parametric testing were fulfilled, the independent sample t-test was used to determine whether teachers’ views on AI differed according to their experience. Findings about independent sample t-test can be seen in Table 8. Table 8 Findings about independent sample t-test Years of service N Mean SD t df p Total points 1 (21-37) 37 106 10 0.375 72 0.709 2 (4-20) 37 105 8 When Table 8 is analyzed, it is seen that teachers’ views on artificial intelligence do not change according to their years of service. One-way ANOVA was used to test whether teachers’ ideas about artificial intelligence vary according to their branches. One-way ANOVA was preferred since data were collected from teachers from 11 different branches. Before conducting a one-way ANOVA test, meeting the test’s assumptions is essential. This includes checking for the homogeneity of variances among the groups and the normality of the data (Kim & Cribbie, 2017). The normality test is shown in Table 7. Levene’s test was conducted for the homogeneity of the data. The levene test is presented in Table 9.

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Teachers describe AI as an advanced technology encompassing computer programs and computercontrolled robots designed to perform various tasks. To assess whether teachers' perspectives on AI differed based on their length of service, an independent sample t-test was conducted. Teachers were categorized into two groups based on their years of service: those with 4 to 20 years of experience were classified as the "new generation," while those with 21 to 37 years were classified as the "old generation." Descriptive statistics for these groups are provided in the participants' section. Teachers' views on AI were measured using a Likert-type scale, with scores ranging from 1 to 5. These scores were aggregated and analyzed using the independent sample t-test. Descriptive statistics for the overall scores reflecting teachers' views on AI are detailed in Table 7. Table 7: Descriptive findings of the total score of teachers’ views on AI Min Max Mean SD Kolmogrov Smirnov Total points 84 138 106 9.5 0.198 THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 136 https://www.theamericanjournals.com/index.php/tajssei The total scores on the scale ranged from a minimum of 84 to a maximum of 138. The mean score was 106, with a standard deviation of 9.5. The Kolmogorov-Smirnov test was used to assess the normality of the distribution of these total scores. Examination of Table 7 shows that the distribution of teachers' opinions on AI is approximately normal. With the assumptions for parametric testing met, an independent sample ttest was employed to evaluate whether teachers' views on AI varied according to their years of experience. The results of the independent sample t-test are presented in Table 8.

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Advances in Mobile Learning Educational Research • SyncSci Publishing 936 of 939 Volume 4 Issue 1, 2024 Derya Uygun sample t-test. Descriptive findings regarding the total score of teachers’ views on AI are given in Table 7. Table 7 Descriptive findings of the total score of teachers’ views on AI Min Max Mean SD Kolmogrov Smirnov Total points 84 138 106 9.5 0.198 The lowest total score of the responses to the scale is 84, and the highest is 138. While the mean of the total scores is 106, the standard deviation is 9.5. Kolmogrov-Smirnov was used to examine the normality of the distribution of total scores. When Table 7 is examined, the distribution of the total scores of teachers’ opinions about AI is normal. Since the prerequisites for parametric testing were fulfilled, the independent sample t-test was used to determine whether teachers’ views on AI differed according to their experience. Findings about independent sample t-test can be seen in Table 8. Table 8 Findings about independent sample t-test Years of service N Mean SD t df p Total points 1 (21-37) 37 106 10 0.375 72 0.709 2 (4-20) 37 105 8 When Table 8 is analyzed, it is seen that teachers’ views on artificial intelligence do not change according to their years of service. One-way ANOVA was used to test whether teachers’ ideas about artificial intelligence vary according to their branches. One-way ANOVA was preferred since data were collected from teachers from 11 different branches. Before conducting a one-way ANOVA test, meeting the test’s assumptions is essential. This includes checking for the homogeneity of variances among the groups and the normality of the data (Kim & Cribbie, 2017). The normality test is shown in Table 7. Levene’s test was conducted for the homogeneity of the data. The levene test is presented in Table 9. Table 9 Levene’s test Levene Statics df1 df2 Sig 2.48 8 63 0.783 When Table 9 is examined, it is seen that the Levene test result for the items is not significant (p > 0.05). In this case, it can be stated that the data set is suitable for the ANOVA test. The findings can be seen in Table 10. Teachers’ opinions about artificial intelligence do not vary according to their field of study.

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136 https://www.theamericanjournals.com/index.php/tajssei The total scores on the scale ranged from a minimum of 84 to a maximum of 138. The mean score was 106, with a standard deviation of 9.5. The Kolmogorov-Smirnov test was used to assess the normality of the distribution of these total scores. Examination of Table 7 shows that the distribution of teachers' opinions on AI is approximately normal. With the assumptions for parametric testing met, an independent sample ttest was employed to evaluate whether teachers' views on AI varied according to their years of experience. The results of the independent sample t-test are presented in Table 8. Table 8: Findings about independent sample t-test Years of service N Mean SD t df p Total points 1 (21-37) 37 106 10 0.375 72 0.709 2 (4-20) 37 105 8 Analysis of Table 8 reveals that teachers' views on artificial intelligence do not vary according to their years of service. To examine whether teachers' opinions on AI differ across various branches, a one-way ANOVA was conducted. This test was chosen due to the involvement of teachers from 11 different branches. Prior to performing the one- way ANOVA, it was crucial to verify that the test assumptions were met, including the homogeneity of variances among groups and the normality of the data (Kim & Cribbie, 2017). The normality assessment is detailed in Table 7. Levene’s test, which was conducted to assess variance homogeneity, is presented in Table 9. Table 9 Levene’s test Levene Statics df1 df2 Sig 2.48 8 63 0.783 Examination of Table 9 shows that the Levene test result for the items is not significant (p > 0.05). This indicates that the data set meets the

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Table 7 Descriptive findings of the total score of teachers’ views on AI Min Max Mean SD Kolmogrov Smirnov Total points 84 138 106 9.5 0.198 The lowest total score of the responses to the scale is 84, and the highest is 138. While the mean of the total scores is 106, the standard deviation is 9.5. Kolmogrov-Smirnov was used to examine the normality of the distribution of total scores. When Table 7 is examined, the distribution of the total scores of teachers’ opinions about AI is normal. Since the prerequisites for parametric testing were fulfilled, the independent sample t-test was used to determine whether teachers’ views on AI differed according to their experience. Findings about independent sample t-test can be seen in Table 8. Table 8 Findings about independent sample t-test Years of service N Mean SD t df p Total points 1 (21-37) 37 106 10 0.375 72 0.709 2 (4-20) 37 105 8 When Table 8 is analyzed, it is seen that teachers’ views on artificial intelligence do not change according to their years of service. One-way ANOVA was used to test whether teachers’ ideas about artificial intelligence vary according to their branches. One-way ANOVA was preferred since data were collected from teachers from 11 different branches. Before conducting a one-way ANOVA test, meeting the test’s assumptions is essential. This includes checking for the homogeneity of variances among the groups and the normality of the data (Kim & Cribbie, 2017). The normality test is shown in Table 7. Levene’s test was conducted for the homogeneity of the data. The levene test is presented in Table 9. Table 9 Levene’s test Levene Statics df1 df2 Sig 2.48 8 63 0.783 When Table 9 is examined, it is seen that the Levene test result for the items is not significant (p > 0.05). In this case, it can be stated that the data set is suitable for the ANOVA test. The findings can be seen in Table 10. Teachers’ opinions about artificial intelligence do not vary according to their field of study. Table 10 Findings on One way ANOVA Total points Sum of Squares df Mean Square F Sig. Between groups 1356.645 10 135.664 1.609 0.125 Within groups 5311.207 63 84.305 Total 6667.851 73

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distribution of teachers' opinions on AI is approximately normal. With the assumptions for parametric testing met, an independent sample ttest was employed to evaluate whether teachers' views on AI varied according to their years of experience. The results of the independent sample t-test are presented in Table 8. Table 8: Findings about independent sample t-test Years of service N Mean SD t df p Total points 1 (21-37) 37 106 10 0.375 72 0.709 2 (4-20) 37 105 8 Analysis of Table 8 reveals that teachers' views on artificial intelligence do not vary according to their years of service. To examine whether teachers' opinions on AI differ across various branches, a one-way ANOVA was conducted. This test was chosen due to the involvement of teachers from 11 different branches. Prior to performing the one- way ANOVA, it was crucial to verify that the test assumptions were met, including the homogeneity of variances among groups and the normality of the data (Kim & Cribbie, 2017). The normality assessment is detailed in Table 7. Levene’s test, which was conducted to assess variance homogeneity, is presented in Table 9. Table 9 Levene’s test Levene Statics df1 df2 Sig 2.48 8 63 0.783 Examination of Table 9 shows that the Levene test result for the items is not significant (p > 0.05). This indicates that the data set meets the assumptions required for the ANOVA test. The findings, as presented in Table 10, reveal that teachers' opinions about artificial intelligence do not differ based on their field of study.

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Table 7 Descriptive findings of the total score of teachers’ views on AI Min Max Mean SD Kolmogrov Smirnov Total points 84 138 106 9.5 0.198 The lowest total score of the responses to the scale is 84, and the highest is 138. While the mean of the total scores is 106, the standard deviation is 9.5. Kolmogrov-Smirnov was used to examine the normality of the distribution of total scores. When Table 7 is examined, the distribution of the total scores of teachers’ opinions about AI is normal. Since the prerequisites for parametric testing were fulfilled, the independent sample t-test was used to determine whether teachers’ views on AI differed according to their experience. Findings about independent sample t-test can be seen in Table 8. Table 8 Findings about independent sample t-test Years of service N Mean SD t df p Total points 1 (21-37) 37 106 10 0.375 72 0.709 2 (4-20) 37 105 8 When Table 8 is analyzed, it is seen that teachers’ views on artificial intelligence do not change according to their years of service. One-way ANOVA was used to test whether teachers’ ideas about artificial intelligence vary according to their branches. One-way ANOVA was preferred since data were collected from teachers from 11 different branches. Before conducting a one-way ANOVA test, meeting the test’s assumptions is essential. This includes checking for the homogeneity of variances among the groups and the normality of the data (Kim & Cribbie, 2017). The normality test is shown in Table 7. Levene’s test was conducted for the homogeneity of the data. The levene test is presented in Table 9. Table 9 Levene’s test Levene Statics df1 df2 Sig 2.48 8 63 0.783 When Table 9 is examined, it is seen that the Levene test result for the items is not significant (p > 0.05). In this case, it can be stated that the data set is suitable for the ANOVA test. The findings can be seen in Table 10. Teachers’ opinions about artificial intelligence do not vary according to their field of study. Table 10 Findings on One way ANOVA Total points Sum of Squares df Mean Square F Sig. Between groups 1356.645 10 135.664 1.609 0.125 Within groups 5311.207 63 84.305 Total 6667.851 73 4 Discussion and conclusion The study on teachers’ perceptions of AI in education provides valuable insights into the multifaceted views on AI as an auxiliary system for education. The data suggests that many teachers express favourable opinions regarding AI, viewing it as a valuable supplementary tool for enhancing education. Teachers perceive AI as a tool for educational support, enhancing individualized learning, contributing to the economy, improving productivity, and aiding in tracking the learning process. Teachers also acknowledge AI’s potential to provide complementary resources, facilitate access to information, assist in material development, enhance learning outcomes, and contribute to achieving educational goals. However, some teachers have expressed concerns regarding the use of AI in education, including fears of creating a sterile emotional environment, threats to security and privacy, and the potential to render individuals

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distribution of teachers' opinions on AI is approximately normal. With the assumptions for parametric testing met, an independent sample ttest was employed to evaluate whether teachers' views on AI varied according to their years of experience. The results of the independent sample t-test are presented in Table 8. Table 8: Findings about independent sample t-test Years of service N Mean SD t df p Total points 1 (21-37) 37 106 10 0.375 72 0.709 2 (4-20) 37 105 8 Analysis of Table 8 reveals that teachers' views on artificial intelligence do not vary according to their years of service. To examine whether teachers' opinions on AI differ across various branches, a one-way ANOVA was conducted. This test was chosen due to the involvement of teachers from 11 different branches. Prior to performing the one- way ANOVA, it was crucial to verify that the test assumptions were met, including the homogeneity of variances among groups and the normality of the data (Kim & Cribbie, 2017). The normality assessment is detailed in Table 7. Levene’s test, which was conducted to assess variance homogeneity, is presented in Table 9. Table 9 Levene’s test Levene Statics df1 df2 Sig 2.48 8 63 0.783 Examination of Table 9 shows that the Levene test result for the items is not significant (p > 0.05). This indicates that the data set meets the assumptions required for the ANOVA test. The findings, as presented in Table 10, reveal that teachers' opinions about artificial intelligence do not differ based on their field of study. Table 10 Findings on One way ANOVA Total points Sum of Squares df Mean Square F Sig. Between groups 1356.645 10 135.664 1.609 0.125 Within groups 5311.207 63 84.305

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Table 8 Findings about independent sample t-test Years of service N Mean SD t df p Total points 1 (21-37) 37 106 10 0.375 72 0.709 2 (4-20) 37 105 8 When Table 8 is analyzed, it is seen that teachers’ views on artificial intelligence do not change according to their years of service. One-way ANOVA was used to test whether teachers’ ideas about artificial intelligence vary according to their branches. One-way ANOVA was preferred since data were collected from teachers from 11 different branches. Before conducting a one-way ANOVA test, meeting the test’s assumptions is essential. This includes checking for the homogeneity of variances among the groups and the normality of the data (Kim & Cribbie, 2017). The normality test is shown in Table 7. Levene’s test was conducted for the homogeneity of the data. The levene test is presented in Table 9. Table 9 Levene’s test Levene Statics df1 df2 Sig 2.48 8 63 0.783 When Table 9 is examined, it is seen that the Levene test result for the items is not significant (p > 0.05). In this case, it can be stated that the data set is suitable for the ANOVA test. The findings can be seen in Table 10. Teachers’ opinions about artificial intelligence do not vary according to their field of study. Table 10 Findings on One way ANOVA Total points Sum of Squares df Mean Square F Sig. Between groups 1356.645 10 135.664 1.609 0.125 Within groups 5311.207 63 84.305 Total 6667.851 73 4 Discussion and conclusion The study on teachers’ perceptions of AI in education provides valuable insights into the multifaceted views on AI as an auxiliary system for education. The data suggests that many teachers express favourable opinions regarding AI, viewing it as a valuable supplementary tool for enhancing education. Teachers perceive AI as a tool for educational support, enhancing individualized learning, contributing to the economy, improving productivity, and aiding in tracking the learning process. Teachers also acknowledge AI’s potential to provide complementary resources, facilitate access to information, assist in material development, enhance learning outcomes, and contribute to achieving educational goals. However, some teachers have expressed concerns regarding the use of AI in education, including fears of creating a sterile emotional environment, threats to security and privacy, and the potential to render individuals

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Table 8: Findings about independent sample t-test Years of service N Mean SD t df p Total points 1 (21-37) 37 106 10 0.375 72 0.709 2 (4-20) 37 105 8 Analysis of Table 8 reveals that teachers' views on artificial intelligence do not vary according to their years of service. To examine whether teachers' opinions on AI differ across various branches, a one-way ANOVA was conducted. This test was chosen due to the involvement of teachers from 11 different branches. Prior to performing the one- way ANOVA, it was crucial to verify that the test assumptions were met, including the homogeneity of variances among groups and the normality of the data (Kim & Cribbie, 2017). The normality assessment is detailed in Table 7. Levene’s test, which was conducted to assess variance homogeneity, is presented in Table 9. Table 9 Levene’s test Levene Statics df1 df2 Sig 2.48 8 63 0.783 Examination of Table 9 shows that the Levene test result for the items is not significant (p > 0.05). This indicates that the data set meets the assumptions required for the ANOVA test. The findings, as presented in Table 10, reveal that teachers' opinions about artificial intelligence do not differ based on their field of study. Table 10 Findings on One way ANOVA Total points Sum of Squares df Mean Square F Sig. Between groups 1356.645 10 135.664 1.609 0.125 Within groups 5311.207 63 84.305

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Table 8 Findings about independent sample t-test Years of service N Mean SD t df p Total points 1 (21-37) 37 106 10 0.375 72 0.709 2 (4-20) 37 105 8 When Table 8 is analyzed, it is seen that teachers’ views on artificial intelligence do not change according to their years of service. One-way ANOVA was used to test whether teachers’ ideas about artificial intelligence vary according to their branches. One-way ANOVA was preferred since data were collected from teachers from 11 different branches. Before conducting a one-way ANOVA test, meeting the test’s assumptions is essential. This includes checking for the homogeneity of variances among the groups and the normality of the data (Kim & Cribbie, 2017). The normality test is shown in Table 7. Levene’s test was conducted for the homogeneity of the data. The levene test is presented in Table 9. Table 9 Levene’s test Levene Statics df1 df2 Sig 2.48 8 63 0.783 When Table 9 is examined, it is seen that the Levene test result for the items is not significant (p > 0.05). In this case, it can be stated that the data set is suitable for the ANOVA test. The findings can be seen in Table 10. Teachers’ opinions about artificial intelligence do not vary according to their field of study. Table 10 Findings on One way ANOVA Total points Sum of Squares df Mean Square F Sig. Between groups 1356.645 10 135.664 1.609 0.125 Within groups 5311.207 63 84.305 Total 6667.851 73 4 Discussion and conclusion The study on teachers’ perceptions of AI in education provides valuable insights into the multifaceted views on AI as an auxiliary system for education. The data suggests that many teachers express favourable opinions regarding AI, viewing it as a valuable supplementary tool for enhancing education. Teachers perceive AI as a tool for educational support, enhancing individualized learning, contributing to the economy, improving productivity, and aiding in tracking the learning process. Teachers also acknowledge AI’s potential to provide complementary resources, facilitate access to information, assist in material development, enhance learning outcomes, and contribute to achieving educational goals. However, some teachers have expressed concerns regarding the use of AI in education, including fears of creating a sterile emotional environment, threats to security and privacy, and the potential to render individuals Advances in Mobile Learning Educational Research • SyncSci Publishing 937 of 939 Volume 4 Issue 1, 2024 Derya Uygun passive. Additionally, reservations exist about the impact of AI on teachers’ roles, ethical considerations, and the potential to undermine the development of an inquisitive mindset.

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way ANOVA, it was crucial to verify that the test assumptions were met, including the homogeneity of variances among groups and the normality of the data (Kim & Cribbie, 2017). The normality assessment is detailed in Table 7. Levene’s test, which was conducted to assess variance homogeneity, is presented in Table 9. Table 9 Levene’s test Levene Statics df1 df2 Sig 2.48 8 63 0.783 Examination of Table 9 shows that the Levene test result for the items is not significant (p > 0.05). This indicates that the data set meets the assumptions required for the ANOVA test. The findings, as presented in Table 10, reveal that teachers' opinions about artificial intelligence do not differ based on their field of study. Table 10 Findings on One way ANOVA Total points Sum of Squares df Mean Square F Sig. Between groups 1356.645 10 135.664 1.609 0.125 Within groups 5311.207 63 84.305 THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 137 https://www.theamericanjournals.com/index.php/tajssei Total 6667.851 73 DISCUSSION The study on teachers’ perceptions of AI in education provides insightful perspectives on how AI is viewed as a supplementary tool in educational settings. The data reveals that many teachers hold positive views of AI, considering it a valuable asset for enhancing education. They see AI as beneficial for supporting individualized learning, contributing to the economy, improving productivity, and tracking the learning process. Additionally, teachers recognize AI’s potential to offer complementary resources, aid in material development, enhance learning outcomes, and help achieve educational goals. Despite these positive views, some teachers have raised concerns about AI’s role, including fears of diminishing emotional engagement, threats to security and privacy, and the risk of fostering passivity among students. There are also concerns about how AI might impact teachers’ roles and ethical considerations.

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exact run 10 words LCS 0.105-gram Jaccard 0.08

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Table 9 Levene’s test Levene Statics df1 df2 Sig 2.48 8 63 0.783 When Table 9 is examined, it is seen that the Levene test result for the items is not significant (p > 0.05). In this case, it can be stated that the data set is suitable for the ANOVA test. The findings can be seen in Table 10. Teachers’ opinions about artificial intelligence do not vary according to their field of study. Table 10 Findings on One way ANOVA Total points Sum of Squares df Mean Square F Sig. Between groups 1356.645 10 135.664 1.609 0.125 Within groups 5311.207 63 84.305 Total 6667.851 73 4 Discussion and conclusion The study on teachers’ perceptions of AI in education provides valuable insights into the multifaceted views on AI as an auxiliary system for education. The data suggests that many teachers express favourable opinions regarding AI, viewing it as a valuable supplementary tool for enhancing education. Teachers perceive AI as a tool for educational support, enhancing individualized learning, contributing to the economy, improving productivity, and aiding in tracking the learning process. Teachers also acknowledge AI’s potential to provide complementary resources, facilitate access to information, assist in material development, enhance learning outcomes, and contribute to achieving educational goals. However, some teachers have expressed concerns regarding the use of AI in education, including fears of creating a sterile emotional environment, threats to security and privacy, and the potential to render individuals Advances in Mobile Learning Educational Research • SyncSci Publishing 937 of 939 Volume 4 Issue 1, 2024 Derya Uygun passive. Additionally, reservations exist about the impact of AI on teachers’ roles, ethical considerations, and the potential to undermine the development of an inquisitive mindset. The positive perception of AI among teachers aligns with the broader trend of recognizing the potential benefits of technology in education. For instance, increased research interest was found in digital addiction and academic achievement, indicating a growing awareness of the impact of technology on educational outcomes (Karakose et al., 2023). Collectively, this study underscores the growing importance of understanding the impact of technology, including AI, on educational processes and outcomes.

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Table 10 Findings on One way ANOVA Total points Sum of Squares df Mean Square F Sig. Between groups 1356.645 10 135.664 1.609 0.125 Within groups 5311.207 63 84.305 THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 137 https://www.theamericanjournals.com/index.php/tajssei Total 6667.851 73 DISCUSSION The study on teachers’ perceptions of AI in education provides insightful perspectives on how AI is viewed as a supplementary tool in educational settings. The data reveals that many teachers hold positive views of AI, considering it a valuable asset for enhancing education. They see AI as beneficial for supporting individualized learning, contributing to the economy, improving productivity, and tracking the learning process. Additionally, teachers recognize AI’s potential to offer complementary resources, aid in material development, enhance learning outcomes, and help achieve educational goals. Despite these positive views, some teachers have raised concerns about AI’s role, including fears of diminishing emotional engagement, threats to security and privacy, and the risk of fostering passivity among students. There are also concerns about how AI might impact teachers’ roles and ethical considerations. The positive perception of AI among teachers aligns with the broader recognition of technology’s benefits in education. This sentiment is consistent with research highlighting the growing awareness of technology’s impact on educational outcomes, such as digital addiction and academic achievement (Karakose et al., 2023). The study’s findings support previous research showing a generally favorable attitude towards AI as an educational tool, consistent across different levels of experience and academic backgrounds (Chiu & Chai, 2020). The study also reflects a well-rounded understanding of AI, including its applications in robotics, advanced technology, and programming, as noted in research by Hinojo-Lucena et al. (2019) and Akgun ̈ and Greenhow (2021). These findings

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4 Discussion and conclusion The study on teachers’ perceptions of AI in education provides valuable insights into the multifaceted views on AI as an auxiliary system for education. The data suggests that many teachers express favourable opinions regarding AI, viewing it as a valuable supplementary tool for enhancing education. Teachers perceive AI as a tool for educational support, enhancing individualized learning, contributing to the economy, improving productivity, and aiding in tracking the learning process. Teachers also acknowledge AI’s potential to provide complementary resources, facilitate access to information, assist in material development, enhance learning outcomes, and contribute to achieving educational goals. However, some teachers have expressed concerns regarding the use of AI in education, including fears of creating a sterile emotional environment, threats to security and privacy, and the potential to render individuals Advances in Mobile Learning Educational Research • SyncSci Publishing 937 of 939 Volume 4 Issue 1, 2024 Derya Uygun passive. Additionally, reservations exist about the impact of AI on teachers’ roles, ethical considerations, and the potential to undermine the development of an inquisitive mindset. The positive perception of AI among teachers aligns with the broader trend of recognizing the potential benefits of technology in education. For instance, increased research interest was found in digital addiction and academic achievement, indicating a growing awareness of the impact of technology on educational outcomes (Karakose et al., 2023). Collectively, this study underscores the growing importance of understanding the impact of technology, including AI, on educational processes and outcomes. The findings from the study on teachers’ perceptions of AI in education align with earlier research, corroborating the positive sentiment towards AI as an auxiliary system for education. The study indicates that many teachers view AI as a valuable supplementary tool for enhancing education, resonating with the broader trend of recognizing the potential benefits of technology in education. This sentiment is further supported by the research of Chiu et al. (2022) and Zhao et al. (2022), emphasizing the need to explore the development of AI literacy for teachers in diverse educational contexts. The study also reinforced the consistent positive perception of AI across different experience levels and academic backgrounds (Chiu & Chai, 2020). It found that teachers’ opinions about AI do not vary according to their years of service or field of study. This suggests a consistent positive sentiment towards AI as an auxiliary system for education, irrespective of experience or academic background. Furthermore, the multifaceted nature of AI, encompassing computer-controlled robotics, high-level technology, and sophisticated computer programming, is well understood by teachers, reflecting a comprehensive awareness of AI’s potential to revolutionize diverse domains while acknowledging associated concerns. This comprehensive understanding is in line with the study by Hinojo-Lucena et al. (2019), which conducted a bibliometric study on the impact of AI in the scientific literature, indicating a growing awareness of AI’s impact in various domains. Additionally, the positive perception of teachers towards AI as a beneficial auxiliary system in education is further supported by the findings of Akg ̈un and Greenhow (2021), which highlight the potential of AI to support students’ understanding and use of AI, emphasizing the need to develop K-12 teachers’ instructional practices regarding AI and ethics.

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THE USA JOURNALS THE AMERICAN JOURNAL OF SOCIAL SCIENCE AND EDUCATION INNOVATIONS (ISSN- 2689-100X) VOLUME 06 ISSUE09 137 https://www.theamericanjournals.com/index.php/tajssei Total 6667.851 73 DISCUSSION The study on teachers’ perceptions of AI in education provides insightful perspectives on how AI is viewed as a supplementary tool in educational settings. The data reveals that many teachers hold positive views of AI, considering it a valuable asset for enhancing education. They see AI as beneficial for supporting individualized learning, contributing to the economy, improving productivity, and tracking the learning process. Additionally, teachers recognize AI’s potential to offer complementary resources, aid in material development, enhance learning outcomes, and help achieve educational goals. Despite these positive views, some teachers have raised concerns about AI’s role, including fears of diminishing emotional engagement, threats to security and privacy, and the risk of fostering passivity among students. There are also concerns about how AI might impact teachers’ roles and ethical considerations. The positive perception of AI among teachers aligns with the broader recognition of technology’s benefits in education. This sentiment is consistent with research highlighting the growing awareness of technology’s impact on educational outcomes, such as digital addiction and academic achievement (Karakose et al., 2023). The study’s findings support previous research showing a generally favorable attitude towards AI as an educational tool, consistent across different levels of experience and academic backgrounds (Chiu & Chai, 2020). The study also reflects a well-rounded understanding of AI, including its applications in robotics, advanced technology, and programming, as noted in research by Hinojo-Lucena et al. (2019) and Akgun ̈ and Greenhow (2021). These findings underscore a comprehensive awareness of AI’s potential to revolutionize education, despite concerns about privacy and over-reliance. Teachers largely view AI as a beneficial educational tool, acknowledging its potential to enhance personalized learning and manage knowledge efficiently. While there are valid concerns, the overall perception is positive, indicating a broad understanding and acceptance of AI’s role in education.