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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM52239

Personalized Learning Platform

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM52239

Volume:

9 |

8 |

Aug 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

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.

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Authors

NSV

Niveditha S V1

APDHKM

Assoc. Prof. Dr. H K Madhu2

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Abstract

Traditional study methods often struggle to maintain student engagement, particularly in an era characterized by digital distractions and reduced attention spans. This paper presents LearnIsle, a web-based AI-powered personalized learning platform designed to transform uploaded study materials, such as PDF documents, into structured and interactive learning resources including summarized notes, flashcards, podcast-style audio explanations, and AI-generated mini-games. The platform operates through a dual-environment model consisting of a Learning World and an Arcade World. In the Learning World, users engage in document reading, audio-based learning, and active recall activities, which generate limited “lives” based on sustained study effort. These lives are then utilized in the Arcade World, where learners reinforce their understanding through AI-driven educational mini-games such as multiple-choice challenges, memory matching, speed recall exercises, and fill-in-the-blank tasks. LearnIsle integrates intelligent content extraction, automated question generation, experience points, achievement-based progress tracking, and visual feedback mechanisms to promote consistent study habits. Developed using scalable modern web technologies, the system ensures accessibility, reliability, and cross-device compatibility. By combining structured learning with controlled, personalized and guided mascot-based support, LearnIsle enhances motivation, strengthens knowledge retention, and delivers a more engaging and effective study experience.

KEYWORDS

personalized learning educational technology intelligent document processing interactive learning systems adaptive study platforms web-based applications.

Cite This Article

Niveditha S V1, Assoc. Prof. Dr. H K Madhu2, "Personalized Learning Platform," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 8, Aug 2025.

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Publication Date

2/21/2026

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Double-Blind Peer Review

Review Rounds: 2

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0

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2

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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