The Role of AI-Assisted Learning Tools in Personalized Learning and Adaptive Education
Abstract
This study examines the role of AI-assisted learning tools in fostering personalised learning and adaptive education in higher education. With the increasing adoption of AI-powered applications such as ChatGPT, Grammarly, and intelligent tutoring systems, students benefit from tailored academic support, real-time feedback, and individualised learning pathways. Using a quantitative research design, this study collected data through an online survey distributed to university students across various disciplines. The findings indicate that AI-assisted learning tools significantly enhance student engagement and academic performance while supporting independent learning. However, challenges such as over-reliance on AI, ethical concerns regarding academic integrity, and data privacy issues remain critical considerations. Statistical analyses, including correlation and regression models, demonstrate a positive relationship between AI usage frequency and students' perceived learning effectiveness. The study concludes with recommendations for optimising AI integration in education, emphasising a balanced approach that combines AI with traditional pedagogical methods to enhance student learning outcomes while mitigating potential risks.
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Bolatbekkyzy, G. (2023). Figure 1. Demographic Profile of Respondents.docx. https://doi.org/10.6084/m9.figshare.24711990
Cheng, Y. (2024). Analysis of the current situation of college students using AI tools for learning case study of the landscape architecture major. Lecture Notes in Education Psychology and Public Media, 74(1), 188-199. https://doi.org/10.54254/2753-7048/2024.bo17949
Choi, W. C., Choi, I. C., & Chang, C. I. (2025). The impact of artificial intelligence on education: The applications, advantages, challenges and researchers' perspective. https://doi.org/10.20944/preprints202501.1420.v1
Deci, E. L., & Ryan, R. M. (1985). The general causality orientations scale: Self-determination in personality. Journal of Research in Personality, 19(2), 109-134. https://doi.org/10.1016/0092-6566(85)90023-6
Delello, J. A., Sung, W., Mokhtari, K., Hebert, J., Bronson, A., & De Giuseppe, T. (2025). AI in the classroom: Insights from educators on usage, challenges, and mental health. Education Sciences, 15(2), 113. https://doi.org/10.3390/educsci15020113
Fahira, A. N., Siagian, C. R., Simarmata, D. Y., Manik, S. F., & Natsir, M. (2024). The impact of AI usage in supporting English literature students' learning (2022). Indonesian Journal of Education and Development Research, 3(1), 756-762. https://doi.org/10.57235/ijedr.v3i1.4921
Fried, M., & Alshibli, M. (n.d.). The impact of AI assistance on student learning: A cross-disciplinary study in STEM education. 2024 ASEE Mid-Atlantic Section Conference Proceedings. https://doi.org/10.18260/1-2-49457
Gerlich, M. (2025). AI tools in society: Impacts on cognitive offloading and the future of critical thinking. Societies, 15(1), 6. https://doi.org/10.3390/soc15010006
Ghe?ie, R., Rad, D., Cuc, L. D., & R?dulescu, D. (2025). The future of teaching and learning: Students' attitudes toward the use of artificial intelligence. Technium Business and Management, 11, 48-54. https://doi.org/10.47577/business.v11i.12455
Handayani, E. W., Ramadhani, Q. A., Rozan, A. N., & Al ‘Azmi, M. N. (2024). The use of artificial intelligence (AI) among international class program students and its implications in their learning. Proceedings of International Conference on Islamic Education (ICIED), 9(1), 635. https://doi.org/10.18860/icied.v9i1.3206
Hendrawan, J. H., Anggraeni, N. F., Silah, S. B., & Anwar, A. (2024). Artificial intelligence is improving student learning achievement. International Journal of Social Learning (IJSL), 5(1), 140-154. https://doi.org/10.47134/ijsl.v5i1.307
Hutapea, E., Hutabalian, R., & Hartati, R. (2024). Summarising AI applications on student learning efficiency in understanding academic reading materials. Indonesian Journal of Education and Development Research, 3(1), 737-745. https://doi.org/10.57235/ijedr.v3i1.4878
Hwang, G., Xie, H., Wah, B. W., & Gaševi?, D. (2020). Vision, challenges, roles and research issues of artificial intelligence in education. Computers and Education: Artificial Intelligence, 1, 100001. https://doi.org/10.1016/j.caeai.2020.100001
Jain, R., Parmar, J. K., Palaniappan, D. & Premavathi, T. (2025). Employment of AI in Higher Education. Advances in Educational Technologies and Instructional Design, 63–90, www.igi-global.com/chapter/employment-of-ai-in-higher-education/368514, https://doi.org/10.4018/979-8-3693-7949-3.ch003. Accessed 29 Jan. 2025.
Jereb, E., & Urh, M. (2024). The use of artificial intelligence among students in higher education. Organizacija, 57(4), 333-345. https://doi.org/10.2478/orga-2024-0024
Kehinde-Awoyele, A. A., & Adeowu, A. W. (2024). Exploring students' perceptions, academic outcomes, and ethical implications of AI in social studies education. Social Science and Humanities Journal, 8(12), 6003-6013. https://doi.org/10.18535/sshj.v8i12.1490
Kazimova, D., Tazhigulova, G., Shraimanova, G., Zatyneyko, A., & Sharzadin, A. (2025). Transforming University education with AI: A systematic review of technologies, applications, and implications. International Journal of Engineering Pedagogy (iJEP), 15(1), 4-24. https://doi.org/10.3991/ijep.v15i1.50773
Li, C. (2025). Age of AI: Explore the role of AI in personalised learning. Communications in Humanities Research, 53(1), 1-7. https://doi.org/10.54254/2753-7064/2025.lc20612
Lu, J., Liu, Y., Liu, S., Yan, Z., Zhao, X., Zhang, Y., Yang, C., Zhang, H., Su, W., & Zhao, P. (2024). Machine learning analysis of factors affecting college students' academic performance. Frontiers in Psychology, 15. https://doi.org/10.3389/fpsyg.2024.1447825
Luan, H., & Tsai, C. C. (2021). A systematic review of literature reviews on artificial intelligence in education: Emerging research trends and future directions. Smart Learning Environments, 8(1), 1-17.
Panit, N. (2025). Can critical thinking and AI work together? Observations of science, mathematics, and language instructors. Environment and Social Psychology, 9(11). https://doi.org/10.59429/esp.v9i11.3141
Malaysia Education Blueprint 2015-2025 (Higher Education). Retrieved from https://jpt.mohe.gov.my/index.php/en/corporate/policy-documents/16-malaysia-education-development-plan-2015-2025
Maphalala, M. C., & Ajani, O. A. (2025). Leveraging artificial intelligence as a learning tool in higher education. Interdisciplinary Journal of Education Research, 7(1), a01. https://doi.org/10.38140/ijer-2025.vol7.1.01
Nguyen-Kearns, E., Burgara, J., Hajikedir, D., Nguyen, T., Wingfield, E., Liljenquist, K., & Desai, A. D. (2024). Development of an inclusive demographic survey for clinical care and research. Hospital Paediatrics, 15(1), 82-98. https://doi.org/10.1542/hpeds.2024-007961
Otermans, P. C., Roberts, C., & Baines, S. (2025). Unveiling AI perceptions: How student attitudes towards AI shape AI awareness, usage, and conceptions. International Journal of Technology in Education, 8(1), 88-103. https://doi.org/10.46328/ijte.995
Qushwa, F. G., & Onia, S. I. (2024). AI innovation in education: Realising personalised learning in the digital age. Educative: Jurnal Ilmiah Pendidikan, 2(3), 178-187. https://doi.org/10.70437/educative.v2i3.822
Rodríguez Bermeo, S. D., Lorena Salazar, M., Parra Terán, F. F., Maldonado Calero, J. C., & Albuja Centeno, V. J. (2025). Impact of AI on virtual learning: Self-sufficiency and academic confidence in University students. Ciencia Latina Revista Científica Multidisciplinar, 8(6), 7414-7429. https://doi.org/10.37811/cl_rcm.v8i6.15432
Sami, A., Tanveer, F., Sajwani, K., Kiran, N., Javed, M. A., Ozsahin, D. U., Muhammad, K., & Waheed, Y. (2025). Medical students' attitudes toward AI in education: Perception, effectiveness, and its credibility. BMC Medical Education, 25(1). https://doi.org/10.1186/s12909-025-06704-y
Selwyn, N. (2020). Re-imagining' Learning analytics'… a case for starting again? The Internet and Higher Education, 46, 100745. https://doi.org/10.1016/j.iheduc.2020.100745
Senanayake, S., Karunanayaka, K., & Ekanayake, K. (2024). Review on AI assistant systems for programming language learning in learning environments. 2024 8th SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI), 1-6. https://doi.org/10.1109/slaai-icai63667.2024.10844969
Shareef, L. G. (2022). Demographic data along with questionnaire responses. https://doi.org/10.5281/zenodo.6941308
Sikka, G., & Goel, S. (2024). Adaptive Learning Using Artificial Intelligence in e-Learning: A Systematic Review. Education Sciences, 14(1), 1-19.
Sumartono, Winda Ayu Puteri Sumartono, & Wildan Akbar Hashemi Rafsanjani. (2025). Transforming education: The impact of artificial intelligence on learning and pedagogical practices. Proceedings of International Seminar Enrichment of Career by Knowledge of Language and Literature, 12(1), 75-84. https://doi.org/10.25139/eckll.v12i1.9605
Talukder, N. M., & Bin Ahsan, W. (2025). The impact of AI on student engagement in virtual learning within Bangladesh's higher education sector. https://doi.org/10.58947/journal.jtgx34
Ta?k?n, M. (2025). Artificial intelligence in personalised education: Enhancing learning outcomes through adaptive technologies and data-driven insights. Human Computer Interaction, 8(1), 173. https://doi.org/10.62802/ygye0506
Tlili, A., Saqer, K., Salha, S., & Huang, R. (2025). Investigating the effect of artificial intelligence in education (AIEd) on learning achievement: A meta-analysis and research synthesis. Information Development. https://doi.org/10.1177/02666669241304407
Uppal, K., & Hajian, S. (2024). Students' perceptions of ChatGPT in higher education: A study of academic enhancement, procrastination, and ethical concerns. European Journal of Educational Research, 14(1), 199-211. https://doi.org/10.12973/eu-jer.14.1.199
Waleed Abdullatif Khader Salameh. (2024). The dual role of AI in personalised learning: Enhancements and hindrances for diverse learners. International Journal of Science and Research Archive, 13(2), 062-067. https://doi.org/10.30574/ijsra.2024.13.2.2057
Wang, Y. (2024). The impact of AI applications in education on students. Journal of Education, Humanities and Social Sciences, 45, 116-122. https://doi.org/10.54097/gg1d3q19
Wu, Z., Abdul Halim, H., & Mohd Saad, M. R. (2025). Impact of AI-supported multimodal learning environments on EFL students' critical thinking and self-regulation. Proceedings of The International Conference on Modern Research in Education, Teaching and Learning, 4(1), 23-33. https://doi.org/10.33422/icmetl.v4i1.769
Xiao, N., Pei, Y., Yuan, C., Bu, Y., & Cai, Z. (2025). Transforming education with artificial intelligence: A comprehensive review of applications, challenges, and future directions. International Theory and Practice in Humanities and Social Sciences, 2(1), 337-356. https://doi.org/10.70693/itphss.v2i1.211
Zailani Iman, M., Airlangga Asis, A., & Uzma Zein Rahma, A. (2024). Enhancing personalised learning: The impact of artificial intelligence in education. Edu Spectrum: Journal of Multidimensional Education, 1(2), 101-112. https://doi.org/10.70063/eduspectrum.v1i2.55
Zhao, C. (2025). AI-assisted assessment in higher education: A systematic review. Journal of Educational Technology and Innovation, 6(4). https://doi.org/10.61414/jeti.v6i4.209
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