Impact Of Artificial Intelligence On Student Engagement In Lms-based Learning Environments

Abstract

AI In Learning Management Systems (LMS) Is Transforming Digital Teaching And Learning. Features Like Personalized Feedback, Adaptive Learning, And Predictive Analytics Are Making Learning More Effective And Student-focused. This Study Reviews AI-powered LMS Platforms By Gathering Views From 300 Participants—240 Students And 60 Faculty—from Various Indian Universities. The Study Aimed To (i) Explore How Students And Teachers Perceive The Usefulness Of AI In LMS And (ii) Investigate The Connection Between AI Tools And Online Learning Satisfaction. Two Hypotheses Were Tested Using Statistical Methods Such As Percentages, Correlation, And Chi-square Tests. Analysis Showed That Users Favored AI Features Like Real-time Feedback, Customized Content, And Performance Tracking. However, Concerns Included Lack Of Digital Skills, Limited Awareness Of AI Tools, And Unequal Tech Access. Results Confirmed That AI Positively Impacts User Satisfaction, Supporting Both Hypotheses. This Research Contributes To Educational Psychology By Illustrating AI's Role In Digital Learning, Offering Suggestions For Improving LMS, And Highlighting Areas For Future Research And Policy Changes.

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