Generative AI Powered Personalized Learning Platform for Students
DOI:
https://doi.org/10.34293/iejcsa.v4i2.98Keywords:
Generative AI, Personalized Learning, Adaptive Learning Systems, Natural Language Processing (NLP), Intelligent Tutoring System, Educational Technology, Machine LearningAbstract
The rapid growth of digital education necessitates intelligent systems that adapt to individual learning styles and performance. This paper proposes a Generative AI-powered personalized learning platform that delivers adaptive and customized content to improve student engagement and academic outcomes. By leveraging Generative AI and Natural Language Processing (NLP), the system dynamically generates explanations, summaries, quizzes, and feedback tailored to each learner. It continuously analyzes user interactions and performance to adjust learning paths in real time and includes an AI-based conversational tutor for instant support. The platform also supports multimodal learning through text, visuals, and interactive assessments. Experimental results show improved knowledge retention, engagement, and efficiency compared to traditional methods, highlighting the potential of Generative AI in creating scalable, student centric learning environments. The proposed system was evaluated using adaptive quiz performance and user engagement metrics. Experimental observations showed approximately 25% improvement in learning efficiency and 30% enhancement in student engagement compared with conventional e-learning platforms.
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