Research Article
Leveraging Generative AI for Personalized Learning Experiences: A Study on Adaptive Content Generation and Student Engagement
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 187 - Issue 92 |
| Published: March 2026 |
| Authors: Manikkaarachchi R.N. |
10.5120/ijca2024924337
|
Manikkaarachchi R.N. . Leveraging Generative AI for Personalized Learning Experiences: A Study on Adaptive Content Generation and Student Engagement. International Journal of Computer Applications. 187, 92 (March 2026), 1-6. DOI=10.5120/ijca2024924337
@article{ 10.5120/ijca2024924337,
author = { Manikkaarachchi R.N. },
title = { Leveraging Generative AI for Personalized Learning Experiences: A Study on Adaptive Content Generation and Student Engagement },
journal = { International Journal of Computer Applications },
year = { 2026 },
volume = { 187 },
number = { 92 },
pages = { 1-6 },
doi = { 10.5120/ijca2024924337 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2026
%A Manikkaarachchi R.N.
%T Leveraging Generative AI for Personalized Learning Experiences: A Study on Adaptive Content Generation and Student Engagement%T
%J International Journal of Computer Applications
%V 187
%N 92
%P 1-6
%R 10.5120/ijca2024924337
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The rapid advancements in generative artificial intelligence (AI) present transformative opportunities in the field of education. This research investigates how generative AI can be leveraged to create personalized, adaptive learning experiences that cater to diverse student needs and learning preferences. By integrating generative AI technologies, such as large language models and multimodal AI systems, into educational platforms, it becomes possible to dynamically generate customized content, including lesson plans, quizzes, visual aids, and interactive simulations.
References
- Brown, T., Mann, B., Ryder, N., Subbiah, M., & Kaplan, J. (2020). Language models are few-shot learners. Proceedings of the 34th Conference on Neural Information Processing Systems.
- Brynjolfsson, E., & McAfee, A. (2017). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W. W. Norton & Company.
- Duolingo. (2023). Duolingo: Language learning and AI. Retrieved from https://www.duolingo.com
- Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59-109.
- Goel, A., & Polepeddi, L. (2017). Jill Watson: The AI teaching assistant at Georgia Tech. Proceedings of the 24th International Conference on Artificial Intelligence.
- Holmes, W., Bialik, M., & Fadel, C. (2022). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
- Johnson, D., Smith, R., & Lee, K. (2023). The impact of generative AI feedback on student engagement and self-directed learning. Journal of Educational Technology, 15(2), 45-60.
- Knewton. (2023). Knewton adaptive learning platform. Retrieved from https://www.knewton.com
- Li, H., Zhang, Y., & Chen, L. (2023). Enhancing personalized learning using generative AI technologies: A case study. Computers & Education, 192, 104641.
- Li, H., Liu, C., & Li, Z. (2023). Data-driven education and the future of personalized learning. International Journal of Artificial Intelligence in Education, 33(4), 532-546.
- Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2021). Artificial intelligence and the future of education: AI and adaptive learning systems. Routledge.
- Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. (2021). Intelligence unleashed: An argument for AI in education. The Pearson Report on Education and Artificial Intelligence.
- Pérez-Sanagustín, M., Ruiz, M. D., & Delgado-Kloos, C. (2022). AR and VR in education: Integrating AI for immersive learning environments. Educational Technology & Society, 25(2), 95-107.
- Ritter, S., Anderson, J., & Cooper, D. (2007). Cognitive Tutor: A tutor for mathematics education. Journal of Educational Psychology, 99(4), 716-730.
- Shute, V. J., & Zapata-Rivera, D. (2020). The role of AI in personalized learning and assessment. Journal of Educational Psychology, 112(3), 497-512.
- Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2021). Systematic review of research on artificial intelligence in education. International Journal of Educational Technology & Society, 24(3), 44-55.
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