Personalised Learning Platform Using AI-Based Adaptive Systems

Students transitioning from 10<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</inf> to 11<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</inf> grade often face difficulties adapting to new academic challenges, including more advanced subjects and a broader syllabus. These struggles lead to a decline in academic performance and a loss of confidence. To address this, our project focuses on creating a user-friendly learning website dedicated to helping these students by offering personalized learning paths. The platform assesses individual student needs and tailors specific academic strategies to ensure they can grasp core concepts more effectively, preparing them for the increased difficulty in their 11<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</inf>-grade subjects. This solution leverages adaptive learning techniques to offer curated study plans that target weak areas while reinforcing strengths, helping students progress at their own pace. The website provides engaging multimedia resources, practice quizzes, and regular feedback to ensure continuous improvement. By focusing on making learning more accessible and personalized, the project aims to bridge the gap between the 10<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</inf> and 11<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</inf> grade, offering students a structured yet flexible approach to mastering their new curriculum and building the confidence they need for academic success.

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Publication Details

Published
2025-02-21
DOI
https://doi.org/10.1109/icitiit64777.2025.11041038
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
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article

Personalised Learning Platform Using AI-Based Adaptive Systems

Swetha Margaret T. A., Shashi Sharma, G. Geetha, S Raghunandhan et al.
Intelligent Tutoring Systems and Adaptive Learning
article

Personalised Learning Platform Using AI-Based Adaptive Systems

Swetha Margaret T. A., Shashi Sharma, G. Geetha, S Raghunandhan, Aathityan Mariraj, R Prabhavathi
article en

Abstract

Students transitioning from 10<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</inf> to 11<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</inf> grade often face difficulties adapting to new academic challenges, including more advanced subjects and a broader syllabus. These struggles lead to a decline in academic performance and a loss of confidence. To address this, our project focuses on creating a user-friendly learning website dedicated to helping these students by offering personalized learning paths. The platform assesses individual student needs and tailors specific academic strategies to ensure they can grasp core concepts more effectively, preparing them for the increased difficulty in their 11<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</inf>-grade subjects. This solution leverages adaptive learning techniques to offer curated study plans that target weak areas while reinforcing strengths, helping students progress at their own pace. The website provides engaging multimedia resources, practice quizzes, and regular feedback to ensure continuous improvement. By focusing on making learning more accessible and personalized, the project aims to bridge the gap between the 10<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</inf> and 11<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</inf> grade, offering students a structured yet flexible approach to mastering their new curriculum and building the confidence they need for academic success.

Indian Institute of Technology Madras (IN)
Openalex Percentile: Top 93%
Intelligent Tutoring Systems and Adaptive Learning
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Personalised Learning Platform Using AI-Based Adaptive Systems — Swetha Margaret T. A., Shashi Sharma, et al. · (2025) | TGRS Research Map | TGRS