International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.

Database-Driven Adaptive Learning: A Systematic Analysis of AI Integration in Educational Personalization

Author(s) Sandeep Kumar Nangunori
Country United States
Abstract This article examines the transformative role of AI-driven databases in facilitating personalized learning experiences within educational institutions. Through a systematic analysis of implementations across K-12 and higher education settings, we investigate how intelligent database systems enable adaptive learning pathways and real-time intervention strategies. The article synthesizes data from 47 educational institutions implementing AI-enhanced learning management systems over a three-year period (2021-2024), employing a mixed-methods approach to evaluate both technical integration patterns and learning outcomes. Results demonstrate significant improvements in student engagement (mean increase of 27%, p < .001) and academic performance (average GPA increase of 0.4 points) when compared to traditional learning management systems. The article also reveals key implementation challenges, including data standardization issues and faculty adaptation requirements. The findings provide a comprehensive framework for educational institutions seeking to implement AI-driven database systems, while highlighting critical considerations for scalability, privacy, and pedagogical integration. This article contributes to the growing body of literature on educational technology by establishing empirical evidence for the effectiveness of AI-powered personalization in educational contexts and proposing a structured approach to its implementation.
Keywords Keywords: Artificial Intelligence in Education (AIED), Educational Data Analytics, Personalized Learning Systems, Intelligent Database Management, Adaptive Learning Technologies
Field Computer
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-11-25
Cite This Database-Driven Adaptive Learning: A Systematic Analysis of AI Integration in Educational Personalization - Sandeep Kumar Nangunori - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.31498
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.31498
Short DOI https://doi.org/g8r8hv

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