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Leveraging Generative AI for Personalized Learning Experiences: A Study on Adaptive Content Generation and Student Engagement

by Manikkaarachchi R.N.
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 92
Year of Publication: 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 ( Mar 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 },
issue_date = { Mar 2026 },
volume = { 187 },
number = { 92 },
month = { Mar },
year = { 2026 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number92/leveraging-generative-ai-for-personalized-learning-experiences-a-study-on-adaptive-content-generation-and-student-engagement/ },
doi = { 10.5120/ijca2024924337 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2026-03-29T02:17:08.319913+05:30
%A Manikkaarachchi R.N.
%T Leveraging Generative AI for Personalized Learning Experiences: A Study on Adaptive Content Generation and Student Engagement
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 92
%P 1-6
%D 2026
%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.

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Index Terms

Computer Science
Information Sciences

Keywords

Generative AI Personalized Learning Adaptive Learning Environments Student Engagement Educational Frameworks Learning Outcomes Knowledge Retention Teacher Collaboration