Enhancing Academic Outcomes: The Role of AI-Driven Personalized Learning in Thai Higher Education
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Abstract
This paper explores the transformative roles and potential of artificial intelligence (AI) in education, emphasizing its impact on teaching methodologies and learning experiences. The study employs semi-structured interviews and focus group with both faculty members and undergraduate students who have interacted with AI. Key findings indicate that AI technologies optimize personalized learning, increase student engagement, and improve academic performance. It should also be noted that respondents showed resistance and training gaps, and highlighted concerns for ethical issues and data privacy. Previous studies have highlighted AI's role in individualizing education, fostering critical thinking, and supporting adaptive learning platforms. However, concerns about over-reliance on AI underscore the necessity of balanced methodologies. The paper concludes that a strategic integration of AI with traditional practices can enhance educational outcomes, necessitating ongoing evaluation of ethical implications and teacher roles in an increasingly automated landscape of education.
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References
Akgun, S., & Greenhow, C. (2022). Artificial intelligence in education:
Addressing ethical challenges in K-12 settings. AI and Ethics, 2(3),
-440. https://doi.org/10.1007/s43681-021-00096-7
Bakhmat, N., Kruty, K., Tolchieva, H., & Pushkarova , T. (2022).
Modernization of future teachers’ professional training: On the role of immersive technologies. Futurity Education, 2(1), 35-44. https://doi.org/10.57125/FED/2022.10.11.22
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology.
Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Buripakdi, A., & Truong A. L. (2024). “Why can’t I use ChatGPT for my
academic learning?” Voices from Ph.D. students in a Thai university. LEARN Journal: Language Education and Acquisition
Research Network, 17(2), 299–319. https://doi.org/10.70730/VRVS6900
Chaipidech, P., Srisawasdi, N., Kajornmanee, T., & Chaipah, K. (2022). A personalized learning system-supported professional training model
for teachers' TPACK development. Computers and Education: Artificial
Intelligence, 3, Article 100064. https://doi.org/10.1016/j.caeai.2022.100064
Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university teaching and learning. International Journal of Educational
Technology in Higher Education, 20(1), Article 38. https://doi.org/10.1186/s41239-023-00408-3
Chen, X., & Qi, W. (2024). How “technology” reshapes education. In H. Li
(Ed.), The Frontier of Education Reform and Development in China. Educational Research in China. (pp. 313-340) Springer.
https://doi.org/10.1007/978-981-97-0277-0_14
Chen, Y., Jensen, S., Albert, L. J., Gupta, S., & Lee, T. (2023). Artificial
Intelligence (AI) student assistants in the classroom: Designing chatbots to support student success. Information Systems Frontiers, 25(1), 161-182. https://doi.org/10.1007/s10796-022-10291-4
Chiu, T. K., Moorhouse, B. L., Chai, C. S., & Ismailov, M. (2024). Teacher
support and student motivation to learn with Artificial Intelligence (AI)-based chatbot. Interactive Learning Environments, 32(7), 3240-3256.
Chiu, T. K., Xia, Q., Zhou, X., Chai, C. S., & Cheng, M. (2023). Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Computers and
Education: Artificial Intelligence, 4, Article 100118. https://doi.org/10.1016/j.caeai.2022.100118
Chookaew, S., Kitcharoen, P., Howimanporn, S., & Panjaburee, P. (2024). Fostering student competencies and perceptions through artificial intelligence of things educational platform. Computers and Education:
Artificial Intelligence, 7, Article 100308. https://doi.org/10.1016/j.caeai.2024.100308
De Paoli, S. (2024). Performing an inductive thematic analysis of semi-
structured interviews with a large language model: An exploration and provocation on the limits of the approach. Social Science Computer Review, 42(4), 997-1019. https://doi.org/10.1177/08944393231220483
Dimitriadou, E., & Lanitis, A. (2023). A critical evaluation, challenges, and
future perspectives of using artificial intelligence and emerging technologies in smart classrooms. Smart Learning Environments, 10(1), Article 12(2023). https://doi.org/10.1186/s40561-023-00231-3
Frank, E. (2024). The Influence of artificial intelligence on education:
Enhancing personalized learning experiences. EasyChair Preprint, Article 14675.
García-Martínez, I., Fernández-Batanero, J. M., Fernández-Cerero, J., &
León, S. P. (2023). Analysing the impact of artificial intelligence and computational sciences on student performance: Systematic review and meta-analysis. Journal of New Approaches in Educational Research, 12(1), 171-197. https://doi.org/10.7821/naer.2023.1.1240
Halkiopoulos, C., & Gkintoni, E. (2024). Leveraging AI in e-learning:
Personalized learning and adaptive assessment through cognitive neuropsychology - A systematic analysis. Electronics, 13(18), Article
https://doi.org/10.3390/electronics13183762
Hanson, U. Y. O. K., Okonkwo, C. A., & Orakwe, C. U. (2024).
Implementing AI-enhanced learning analytics to improve educational outcomes using psychological insights. Journal of Educational Technology Innovations. 8(6), 543-553.
Hooda, M., Rana, C., Dahiya, O., Rizwan, A., & Hossain, M. S. (2022).
Artificial intelligence for assessment and feedback to enhance student success in higher education. Mathematical Problems in Engineering, 2022(1), Article 5215722. https://doi.org/10.1155/2022/5215722
Ingkavara, T., Panjaburee, P., Srisawasdi, N., & Sajjapanroj, S. (2022). The
use of a personalized learning approach to implementing self-regulated online learning. Computers and Education: Artificial Intelligence, 3(2022), Article 100086. https://doi.org/10.1016/j.caeai.2022.100086
Ivanashko, O., Kozak, A., Knysh, T., & Honchar, K. (2024). The role of
artificial intelligence in shaping the future of education: Opportunities and challenges. Futurity Education, 4(1), 126-146. https://doi.org/10.57125/FED.2024.03.25.08
Jantakun, T., Jantakun, K., & Jantakoon, T. (2021). A common framework
for artificial intelligence in higher education (AAI-HE Mode). International Education Studies, 14(11), 94-103.
Jin, Z., Goyal, S. B., & Rajawat, A. S. (2024). The informational role of
artificial intelligence in higher education in the new era. Procedia Computer Science, 235, 1008-1023. https://doi.org/10.1016/j.procs.2024.04.096
Kaswan, K. S., Dhatterwal, J. S., & Ojha, R. P. (2024). AI in personalized
learning. In K. S. Kaswan, J. S. Dhatterwal, & R. P. Ojha, (Eds.), Advances in Technological Innovations in Higher Education. (pp. 103–117). Routledge.
Khlaisang, J., Teo, T., & Huang, F. (2019). Acceptance of a flipped smart
application for learning: A study among Thai university students. Interactive Learning Environments, 29(5), 772-789. https://doi.org/10.1080/10494820.2019.1612447
Kolluru, V., Mungara, S., & Chintakunta, A. N. (2018). Adaptive learning
systems: Harnessing AI for customized educational experiences. International Journal of Computational Science and Information Technology, 6(3), 13-26. https://ssrn.com/abstract=4988967
Kuleto, V., Ilić, M., Dumangiu, M., Ranković, M., Martins, O. M., Păun, D.,
& Mihoreanu, L. (2021). Exploring opportunities and challenges of artificial intelligence and machine learning in higher education institutions. Sustainability, 13(18), Article 10424. https://doi.org/10.3390/su131810424
Lim, W. M. (2024). What is qualitative research? An overview and
guidelines. Australasian Marketing Journal, 33(2), 199-229. https://doi.org/10.1177/14413582241264619
Limonova, V., dos Santos, A. M. P., Mamede, J. H. P. S., & de Jesus Filipe,
V. M. (2024). Maximising attendance in higher education: How AI and gamification strategies can boost student engagement and participation. In A. Rocha, H. Adeli, G. Dzemyda, F. Moreira, & A. Poniszewska-Maranda (Eds.), Good Practices and New Perspectives in Information Systems and Technologies - WorldCIST 2024: Lecture Notes in Networks and Systems vol 988. Springer. https://doi.org/10.1007/978-3-031-60224-5_7
Liua, Y., Saleh, S., & Huang, J. (2021). Artificial intelligence in promoting
teaching and learning transformation in schools. International Journal of Innovation, Creativity and Change 15(3), 891-902. https://doi.org/10.53333/IJICC2013/15369
Liu, J. (2021). Learners’ attitudes to language-productive tasks via internet
relay chat. The New English Teacher ISSN 2985-0959 (Online), 15(2), 24-44.
Machmud, M. T., Widiyan, A. P., & Ramadhani, N. R. (2021). The
development and policies of ICT supporting educational technology in Singapore, Thailand, Indonesia, and Myanmar. International Journal of Evaluation and Research in Education, 10(1), 78-85.
Maghsudi, S., Lan, A., Xu, J., & van Der Schaar, M. (2021). Personalized
education in the artificial intelligence era: What to expect next. IEEE Signal Processing Magazine, 38(3), 37-50. https://doi.org/10.1109/MSP.2021.3055032
Marmoah, S., Murwaningsih, T., Nurhasanah, F., Saddhono, K., Sutomo, A.
D., & Legowo, B. (2024). An integration of AI and traditional methodology in the education field in order to transform the trends. In 2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) (pp. 884-889). IEEE. https://doi.org/10.1109/ICACITE60783.2024.10616679
Mirdad, K., Daeli, O. P. M., Septiani, N., Ekawati, A., & Rusilowati, U.
(2024). Optimizing student engagement and performance using AI-enabled educational tools. CORISINTA, 1(1), 53-60.
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
Nuankaew, P., Nasa-Ngium, P., Kunasit, T., & Nuankaew, W. S. (2023).
Implementation of data analytics and machine learning in Thailand's education sector. International Journal of Emerging Technologies in Learning, 18(5), 175-191.
Ouyang, F., Wu, M., Zheng, L., Zhang, L., & Jiao, P. (2023). Integration of
artificial intelligence performance prediction and learning analytics to improve student learning in online engineering courses. International Journal of Educational Technology in Higher Education, 20(1), Article 4. https://doi.org/10.1186/s41239-022-00372-4
Potjanajaruwit, P. (2023). The influence of technology leadership on
university lecturers integrating technology in Thailand. Human Technology, 19(3), 435-452.
https://doi.org/10.14254/1795-6889.2023.19-3.7
Pyae, A., Ravyse, W., Luimula, M., Pizarro-Lucas, E., Sanchez, P. L.,
Dorado-Diaz, I. P., & Thaw, A. K. (2023). Exploring user experience and usability in a metaverse learning environment for students: A usability study of the artificial intelligence, innovation, and society (AIIS). Electronics, 12(20), Article 4283. https://doi.org/10.3390/electronics12204283
Pucharoen, N. (2024). Unveiling the effects of integrating an AI-powered
English speaking coach for students and specific careers in the EDSY program: A study on higher education students in a Thai private university. Journal of Business Administration and Languages (JBAL), 12(2), 141-158. https://so06.tci-thaijo.org/index.php/TNIJournalBA/article/view/277610
Rafiq, S., Zaki, K. A., & Nawaz, A. (2025). Personalized learning in the
digital age: harnessing technology for student success. Contemporary Journal of Social Science Review, 3(1), 1515-1528. https://doi.org/10.12345/8kjndj49
Rensfeldt, A. B., & Rahm, L. (2023). Automating teacher work? A history of the politics of automation and artificial intelligence in education. Postdigital Science and Education, 5(1), 25-43. https://doi.org/10.1007/s42438-022-00344-x
Sajja, R., Sermet, Y., Cwiertny, D., & Demir, I. (2023). Integrating AI and
learning analytics for data-driven pedagogical decisions and personalized interventions in education. arXiv2023. https://doi.org/10.48550/arXiv.2312.09548
Shaengchart, Y., Bhumpenpein, N., Kongnakorn, K., Khwannu, P.,
Tiwtakul, A., & Detmee, S. (2023). Factors influencing the acceptance of ChatGPT usage among higher education students in Bangkok, Thailand. Advance Knowledge for Executives, 2(4), 1-14.
Songsiengchai, S., Sereerat, B. O., & Watananimitgul, W. (2023). Leveraging
artificial intelligence (AI): Chat GPT for effective English language learning among Thai students. English Language Teaching, 16(11),
-79. https://doi.org/10.5539/elt.v16n11p68
Songsiengchai, S. (2025). Implementation of Artificial Intelligence (AI):
Chat GPT for effective English language learning among Thai students in higher education. International Journal of Education and Literacy Studies, 13(1), 302-312. https://journals.aiac.org.au/index.php/IJELS/article/view/8346
Tapalova, O., & Zhiyenbayeva, N. (2022). Artificial intelligence in
education: AIEd for personalised learning pathways. Electronic Journal of e-Learning, 20(5), 639-653.
Thanyawatpornkul, R. (2024). Harnessing artificial intelligence for
sustainable development in emerging markets: Exploring opportunities and challenges in Thailand. European Journal of Sustainable Development Research, 8(4), 1-15. https://doi.org/10.29333/ejosdr/15435
Vistorte, A. O. R., Deroncele-Acosta, A., Ayala, J. L. M., Barrasa, A.,
López-Granero, C., & Martí-González, M. (2024). Integrating artificial intelligence to assess emotions in learning environments: A systematic literature review. Frontiers in Psychology, 15,
Article 1387089. https://doi.org/10.3389/fpsyg.2024.1387089
Waluyo, B., & Kusumastuti, S. (2024). Generative AI in student English
learning in Thai higher education: More engagement, better outcomes?. Social Sciences & Humanities Open, 10, Article 101146. https://doi.org/10.1016/j.ssaho.2024.101146
Wiboolyasarin, W., Wiboolyasarin, K., Tiranant, P., Jinowat, N., &
Boonyakitanont, P. (2025). AI-driven chatbots in second language education: A systematic review of their efficacy and pedagogical implications. Ampersand, 14, Article 100224. https://doi.org/10.1016/j.amper.2025.100224
Winiarti, S. W., Sunardi, S., Ahdiani, U., & Pranolo, A. (2022). Tradition
meets modernity: learning traditional building using artificial intelligence. Asian Journal of University Education, 18(2), 375-385.
Wongwatkit, C., Thongsibsong, N., Chomngern, T., & Thavorn, S. (2023).
The future of connectivist learning with the potential of emerging technologies and AI in Thailand: Trends, applications, and challenges in shaping education. Journal of Learning Sciences and
Education, 2(1), 122-154.
Xu, Z. (2024). AI in education: Enhancing learning experiences and student
outcomes. Applied and Computational Engineering, 51(1), 104-111.
Yekollu, R. K., Bhimraj Ghuge, T., Sunil Biradar, S., Haldikar, S. V., Farook
Mohideen Abdul Kader, O. (2024). AI-driven personalized learning paths: enhancing education through adaptive systems. In R., Asokan, D. P., Ruiz, S., Piramuthu (Eds.), Smart Data Intelligence. ICSMDI 2024. Algorithms for Intelligent Systems (pp. 507-517). Springer. https://doi.org/10.1007/978-981-97-3191-6_38
Zhang, K., & Aslan, A. B. (2021). AI technologies for education: Recent
research & future directions. Computers and Education: Artificial intelligence, 2(2021), Article 100025. https://doi.org/10.1016/j.caeai.2021.100025
