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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM48409
Volume:
9 |
5 |
May 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
In today’s digital era, education continues to face challenges in delivering personalized learning experiences that cater to the diverse needs of individual learners. Traditional e-learning systems often provide uniform content without considering each student’s unique learning pace, style, or comprehension level, leading to disengagement and reduced academic outcomes. To address this gap, there is an increasing need for intelligent educational platforms capable of adapting dynamically to learner profiles. Learnwise, an AI-powered personalized e-learning platform, leverages machine learning algorithms to recommend customized learning paths, monitor assessments in real time, and offer targeted feedback based on user behavior and performance metrics. By analyzing key factors such as learner engagement, progress rates, and comprehension patterns, Learnwise empowers students with tailored educational journeys that enhance understanding, motivation, and overall success. The system aims to transform traditional learning into a proactive, data-driven experience, ensuring higher retention, better academic performance, and more meaningful learner engagement.
KEYWORDS
Publication Date
5/21/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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