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@article{195595,
        author = {Matta Hemalatha and Dasari Subham and Nallani Adarsh and Killada Anand Kumar and V. S. Susan},
        title = {AI-DRIVEN PERSONALIZED LEARNING PLATFORM},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {529-532},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195595},
        abstract = {The rapid growth of digital technology has significantly transformed the education sector, leading to the emergence of AI-driven adaptive learning systems. Traditional e-learning platforms deliver uniform content to all users, failing to address individual differences in learning pace, prior knowledge, and cognitive abilities. This paper presents the design and implementation of an AI-driven personalized learning platform that adapts educational content according to individual learner behavior, performance, and engagement patterns. The proposed system integrates machine learning algorithms to dynamically analyze learner interactions, assessment results, and progression metrics to recommend customized study materials and practice exercises.
The system architecture consists of a scalable backend service, a learner-facing interactive dashboard, and a recommendation engine powered by predictive modeling and performance analytics. Adaptive content sequencing is achieved through continuous evaluation of learner accuracy, response time, and topic mastery scores. The platform also incorporates real-time progress tracking, performance visualization, and automated feedback generation. Experimental evaluation demonstrates improved learner engagement, reduced knowledge retention gaps, and measurable performance improvement compared to static content delivery models. The results indicate that AI-assisted personalization can significantly enhance digital learning environments by aligning instructional pathways with individual cognitive profiles.},
        keywords = {Artificial Intelligence, Personalized Learning, Machine Learning, Adaptive Systems, Recommendation Engine, E-Learning, Performance Analytics, Educational Technology},
        month = {April},
        }