Abstract

The emergence of artificial intelligence [AI] in education offers significant potential to enhance personalized learning, feedback, and instructional strategies. However, its effectiveness depends on educators' practices and students' capabilities, especially in rural contexts where the digital divide presents challenges. This qualitative study explores teachers' perceptions of AI integration in education, collecting data from focus group discussions with 127 teachers. AI is viewed as a powerful resource for providing tailored information, enhancing learning depth, and offering immediate assistance to students. However, teachers also highlight the potential for over-dependence on AI, particularly among students with low motivation and literacy levels. In rural, additional challenges include regulations banning smartphone use, which restricts access to AI tools, and weak student motivation due to issues such as misaligned subject placements and assessment criteria that prioritize passing grades over demonstrating actual competencies. The research identifies several significant barriers to AI implementation, including these motivational challenges, limited technological infrastructure, insufficient teacher readiness, and a lack of critical thinking development. Moreover, issues such as low AI literacy and concerns about the ethical implications of AI-generated content are also raised. To effectively integrate AI, the study suggests addressing these barriers through targeted initiatives such as enhancing student motivation, improving digital literacy, and fostering teacher creativity. The findings emphasize the need for a careful and supportive approach to AI integration, ensuring it serves as a tool to enhance, rather than hinder, educational outcomes.

Keywords

References

• Adıgüzel, T., Kaya, M. H., & Cansu, F. K. (2023). Revolutionizing education with AI: Exploring the transformative potential of ChatGPT. Contemporary Educational Technology, 15(3), ep429. https://doi.org/10.30935/cedtech/13152
• Ahmad, S. F., Alam, M. M., Rahmat, M. K., Mubarik, M. S., & Hyder, S. I. (2022). Academic and administrative role of artificial intelligence in education. Sustainability, 14(3), 1101. https://doi.org/10.3390/su14031101
• Alamri, H., Lowell, V., Watson, W., & Watson, S. L. (2020). Using personalized learning as an instructional approach to motivate learners in online higher education: Learner self-determination and intrinsic motivation. Journal of Research on Technology in Education, 52(3), 322–352. https://doi.org/10.1080/15391523.2020.1728449
• Al-kfairy, M., Mustafa, D., Kshetri, N., Insiew, M., & Alfandi, O. (2024). Ethical challenges and solutions of generative ai: an interdisciplinary perspective. Informatics, 11(3), 58. https://doi.org/10.3390/informatics11030058
• Almatrafi, O., Johri, A., & Lee, H. (2024). A systematic review of ai literacy conceptualization, constructs, and implementation and assessment efforts (2019-2023). Computers and Education Open, 6,100173. https://doi.org/10.1016/j.caeo.2024.100173
• Alqahtani, T., Badreldin, H. A., Alrashed, M., Alshaya, A. I., Alghamdi, S. S., bin Saleh, K., Alowais, S. A., Alshaya, O. A., Rahman, I., & Al Yami, M. S. (2023). The emergent role of artificial intelligence, natural learning processing, and large language models in higher education and research. Research in Social and Administrative Pharmacy, 19(8), 1236–1242. https://doi.org/10.1016/j.sapharm.2023.05.016
• Altinay, Z., Altinay, F., Sharma, R. C., Dagli, G., Shadiev, R., Yikici, B., & Altinay, M. (2024). Capacity building for student teachers in learning, teaching artificial intelligence for quality of education. Societies, 14(8), 148. https://doi.org/10.3390/soc14080148
• Alwaqdani, M. (2024). Investigating teachers’ perceptions of artificial intelligence tools in education: Potential and difficulties. Education and Information Technologies. Advanced Online Publication. https://doi.org/10.1007/s10639-024-12903-9
• Appleby, C. (2023, March 7). Will colleges ban ChatGPT? BestColleges. https://www.bestcolleges.com/
• Bates, T., Cobo, C., Mariño, O., & Wheeler, S. (2020). Can artificial intelligence transform higher education? International Journal of Educational Technology in Higher Education, 17, 1–12. https://doi.org/10.1186/s41239-020-00218-x
• Bhise, A., Munshi, A., Rodrigues, A., & Sawant, V. (2022). Overview of AI in education. In P. P. Churi, S. Joshi, M. Elhoseny, & A. Omrane (Eds.), Artificial intelligence in higher education: a practical approach (pp. 31–62). CRC Press. https://doi.org/10.1201/9781003184157-2
• Braun, V., & Clarke, V. (2013). Successful qualitative research: A practical guide for beginners. Sage.
• Chassignol, M., Khoroshavin, A., Klimova, A., & Bilyatdinova, A. (2018). Artificial Intelligence trends in education: A narrative overview. Procedia Computer Science, 136, 16–24. https://doi.org/10.1016/j.procs.2018.08.233
• Creswell, J. W., & Poth, C. N. (2016). Qualitative inquiry and research design: Choosing among five approaches. Sage.
• Cross, T. L., & Cross, J. R. (2021). Handbook for counselors serving students with gifts and talents: Development, relationships, school issues, and counseling needs/interventions. Routledge.
• Currie, G. M. (2023). Academic integrity and artificial intelligence: Is ChatGPT hype, hero or heresy? Seminars in Nuclear Medicine, 53(5), 719–730. https://doi.org/10.1053/j.semnuclmed.2023.04.008
• Dai, Y., Chai, C.-S., Lin, P.-Y., Jong, M. S.-Y., Guo, Y., & Qin, J. (2020). Promoting students’ well-being by developing their readiness for the artificial intelligence age. Sustainability, 12(16), 6597. https://doi.org/10.3390/su12166597
• Deterding, N. M., & Waters, M. C. (2021). Flexible coding of in-depth interviews: A twenty-first-century approach. Sociological Methods & Research, 50(2), 708–739. https://doi.org/10.1177/0049124118799377
• Farrokhnia, M., Banihashem, S. K., Noroozi, O., & Wals, A. (2024). A SWOT analysis of ChatGPT: Implications for educational practice and research. Innovations in Education and Teaching International, 61(3), 460–474. https://doi.org/10.1080/14703297.2023.2195846
• Gentile, M., Città, G., Perna, S., & Allegra, M. (2023). Do we still need teachers? Navigating the paradigm shift of the teacher’s role in the AI era. Frontiers in Education, 8, 1161777. https://doi.org/10.3389/feduc.2023.1161777
• Gligorea, I., Cioca, M., Oancea, R., Gorski, A.-T., Gorski, H., & Tudorache, P. (2023). Adaptive learning using artificial intelligence in e-learning: A literature review. Education Sciences, 13(12), 1216. https://doi.org/10.3390/educsci13121216
• Gustilo, L., Ong, E., & Lapinid, M. R. (2024). Algorithmically-driven writing and academic integrity: Exploring educators’ practices, perceptions, and policies in AI era. International Journal for Educational Integrity, 20(1), 3. https://doi.org/10.1007/s40979-024-00153-8
• Hong, Y., Saab, N., & Admiraal, W. (2024). Approaches and game elements used to tailor digital gamification for learning: A systematic literature review. Computers & Education, 212, 105000. https://doi.org/10.1016/j.compedu.2024.105000
• Huang, X. (2021). Aims for cultivating students’ key competencies based on artificial intelligence education in China. Education and Information Technologies, 26(5), 5127–5147. https://doi.org/10.1007/s10639-021-10530-2
• Kamalov, F., Santandreu Calonge, D., & Gurrib, I. (2023). New era of artificial intelligence in education: Towards a sustainable multifaceted revolution. Sustainability, 15(16), 12451. https://doi.org/10.3390/su151612451
• Kavitha, K., & Joshith, V. P. (2024). Pedagogical ıncorporation of artificial ıntelligence in K-12 science education: A decadal bibliometric mapping and systematic literature review (2013-2023). Journal of Pedagogical Research, 8(4), 437-465. https://doi.org/10.33902/JPR.202429218
• Kim, J. (2024). Leading teachers’ perspective on teacher-AI collaboration in education. Education and Information Technologies, 29(7), 8693–8724. https://doi.org/10.1007/s10639-023-12109-5
• Kohnke, L. (2021). Optimizing microlearning materials for mobile learning. In J. R. Corbeil, M. E. Corbeil, & B. H. Khan (Eds.), Microlearning in the digital age (pp. 80–94). Routledge. https://doi.org/10.4324/9780367821623-7
• Lameras, P., & Arnab, S. (2021). Power to the teachers: An exploratory review on artificial intelligence in education. Information, 13(1), 14. https://doi.org/10.3390/info13010014
• Lembani, R., Gunter, A., Breines, M., & Dalu, M. T. B. (2020). The same course, different access: The digital divide between urban and rural distance education students in South Africa. Journal of Geography in Higher Education, 44(1), 70–84. https://doi.org/10.1080/03098265.2019.1694876
• Liberman, C. J. (2024). How AI Is Changing the Nature and Landscape of Student Learning and Outcomes Assessment Within Higher Education. In S. Elmoudden & J. Wrench (Eds.), The role of generative ai in the communication classroom (pp. 106–122). IGI Global. https://doi.org/10.4018/979-8-3693-0831-8.ch006
• Lu, K., Zhu, J., Pang, F., & Shadiev, R. (2024). Understanding the relationship between colleges students’ artificial intelligence literacy and higher order thinking skills using the 3P model: The mediating roles of behavioral engagement and peer interaction. Educational Technology Research and Development. Advance Online Publication. https://doi.org/10.1007/s11423-024-10434-1
• Luckin, R., Cukurova, M., Kent, C., & Du Boulay, B. (2022). Empowering educators to be AI-ready. Computers and Education: Artificial Intelligence, 3, 100076. https://doi.org/10.1016/j.caeai.2022.100076
• Ma, S., & Lei, L. (2024). The factors influencing teacher education students’ willingness to adopt artificial intelligence technology for information-based teaching. Asia Pacific Journal of Education, 44(1), 94–111. https://doi.org/10.1080/02188791.2024.2305155
• Markauskaite, L., Marrone, R., Poquet, O., Knight, S., Martinez-Maldonado, R., Howard, S., Tondeur, J., De Laat, M., Shum, S. B., & Gašević, D. (2022). Rethinking the entwinement between artificial intelligence and human learning: What capabilities do learners need for a world with AI? Computers and Education: Artificial Intelligence, 3, 100056. https://doi.org/10.1016/j.caeai.2022.100056
• Mittelstadt, B. (2019). Principles alone cannot guarantee ethical AI. Nature Machine Intelligence, 1(11), 501–507. https://doi.org/10.1038/s42256-019-0114-4
• Murtaza, M., Ahmed, Y., Shamsi, J. A., Sherwani, F., & Usman, M. (2022). AI-based personalized e-learning systems: Issues, challenges, and solutions. IEEE Access, 10, 81323–81342. https://doi.org/10.1109/ACCESS.2022.3193938
• Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 100041. https://doi.org/10.1016/j.caeai.2021.100041
• Nguyen, A., Ngo, H. N., Hong, Y., Dang, B., & Nguyen, B.-P. T. (2023). Ethical principles for artificial intelligence in education. Education and Information Technologies, 28(4), 4221–4241. https://doi.org/10.1007/s10639-022-11316-w
• Nikolopoulou, K. (2020). Secondary education teachers’ perceptions of mobile phone and tablet use in classrooms: Benefits, constraints and concerns. Journal of Computers in Education, 7(2), 257–275. https://doi.org/10.1007/s40692-020-00156-7
• Obaidoon, S., & Wei, H. (2024). ChatGPT, Bard, Bing Chat, and Claude generate feedback for Chinese as foreign language writing: A comparative case study. Future in Educational Research, 2(3), 184-204. https://doi.org/10.1002/fer3.39
• Onesi-Ozigagun, O., Ololade, Y. J., Eyo-Udo, N. L., & Ogundipe, D. O. (2024). Revolutionizing education through AI: a comprehensive review of enhancing learning experiences. International Journal of Applied Research in Social Sciences, 6(4), 589–607. https://doi.org/10.51594/ijarss.v6i4.1011
• Onitsuka, K., Hidayat, A. R. T., & Huang, W. (2018). Challenges for the next level of digital divide in rural Indonesian communities. The Electronic Journal of Information Systems in Developing Countries, 84(2), e12021. https://doi.org/10.1002/isd2.12021
• Ouyang, F., & Jiao, P. (2021). Artificial intelligence in education: The three paradigms. Computers and Education: Artificial Intelligence, 2, 100020. https://doi.org/10.1016/j.caeai.2021.100020
• Selwyn, N. (2019). Should robots replace teachers?: AI and the future of education. John Wiley & Sons.
• Sevnarayan, K. (2024). Exploring the dynamics of ChatGPT: Students and lecturers' perspectives at an open distance e-learning university. Journal of Pedagogical Research, 8(2), 212-226. https://doi.org/10.33902/JPR.202426525
• Sundari, M. S., Penthala, H. R., & Nayyar, A. (2024). Transforming education through AI-enhanced content creation and personalized learning experiences. In S. Tripathi & J. Rosak-Szyrocka (Eds.), Impact of artificial intelligence on society (pp. 98–118). Chapman and Hall/CRC.
• Walter, Y. (2024). Embracing the future of Artificial Intelligence in the classroom: The relevance of AI literacy, prompt engineering, and critical thinking in modern education. International Journal of Educational Technology in Higher Education, 21(1), 15. https://doi.org/10.1186/s41239-024-00448-3
• Wang, X., Li, L., Tan, S. C., Yang, L., & Lei, J. (2023). Preparing for AI-enhanced education: Conceptualizing and empirically examining teachers’ AI readiness. Computers in Human Behavior, 146, 107798. https://doi.org/10.1016/j.chb.2023.107798
• Williams, P. (2023). AI, Analytics and a New Assessment Model for Universities. Education Sciences, 13(10), 1040. https://doi.org/10.3390/educsci13101040
• Williams, R., Ali, S., Devasia, N., DiPaola, D., Hong, J., Kaputsos, S. P., Jordan, B., & Breazeal, C. (2023). AI+ ethics curricula for middle school youth: Lessons learned from three project-based curricula. International Journal of Artificial Intelligence in Education, 33(2), 325–383. https://doi.org/10.1007/s40593-022-00298-y
• Xia, Q., Chiu, T. K., Lee, M., Sanusi, I. T., Dai, Y., & Chai, C. S. (2022). A self-determination theory (SDT) design approach for inclusive and diverse artificial intelligence (AI) education. Computers & Education, 189, 104582. https://doi.org/10.1016/j.compedu.2022.104582
• Yu, H. (2024). The application and challenges of ChatGPT in educational transformation: New demands for teachers’ roles. Heliyon, 10(2), e24289. https://doi.org/10.1016/j.heliyon.2024.e24289
• Zhai, C., Wibowo, S., & Li, L. D. (2024). The effects of over-reliance on AI dialogue systems on students’ cognitive abilities: A systematic review. Smart Learning Environments, 11(1), 28. https://doi.org/10.1186/s40561-024-00316-7
• Zhu, C., Sun, M., Luo, J., Li, T., & Wang, M. (2023). How to harness the potential of ChatGPT in education?. Knowledge Management & E-Learning, 15(2), 133–152. https://doi.org/10.34105/j.kmel.2023.15.008

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