Virtu Learn: A MERN Stack-Based Online Learning Platform with Integrated ML-Driven Learner Analysis

In the rapidly evolving landscape of online education, maintaining learner engagement and providing personalized feedback are key factors for academic success and student retention. Traditional learning management systems (LMS) often struggle to offer dynamic and insightful analytics, which can lead to decreased learner satisfaction and lower academic performance. To address these challenges, Virtu Learn introduces a cutting-edge e-learning platform that combines the power of the MERN stack for efficient and scalable application development with advanced machine learning techniques, such as K-Means and DBSCAN algorithms, to perform intelligent learner analysis. The platform utilizes these machine learning models to cluster student activity patterns, enabling educators to monitor student performance effectively, offer personalized recommendations, and identify at-risk learners early on. By integrating real-time analytics and intelligent feedback systems, Virtu Learn aims to provide a more interactive, responsive, and data-driven learning environment. This approach not only enhances the overall learning experience but also strives to optimize student outcomes, making it a valuable tool for modern virtual education systems

Authors

Publication Details

Journal
Indian Journal of Computer Science and Technology
Published
2025-04-02
DOI
https://doi.org/10.59256/indjcst.20250401038
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

Virtu Learn: A MERN Stack-Based Online Learning Platform with Integrated ML-Driven Learner Analysis

J. Y., Chaitra BV, N Asha, E Kaveri
1 links
Indian Journal of Computer Science and Technology
Intelligent Tutoring Systems and Adaptive Learning
article

Virtu Learn: A MERN Stack-Based Online Learning Platform with Integrated ML-Driven Learner Analysis

J. Y., Chaitra BV, N Asha, E Kaveri
article en

Abstract

In the rapidly evolving landscape of online education, maintaining learner engagement and providing personalized feedback are key factors for academic success and student retention. Traditional learning management systems (LMS) often struggle to offer dynamic and insightful analytics, which can lead to decreased learner satisfaction and lower academic performance. To address these challenges, Virtu Learn introduces a cutting-edge e-learning platform that combines the power of the MERN stack for efficient and scalable application development with advanced machine learning techniques, such as K-Means and DBSCAN algorithms, to perform intelligent learner analysis. The platform utilizes these machine learning models to cluster student activity patterns, enabling educators to monitor student performance effectively, offer personalized recommendations, and identify at-risk learners early on. By integrating real-time analytics and intelligent feedback systems, Virtu Learn aims to provide a more interactive, responsive, and data-driven learning environment. This approach not only enhances the overall learning experience but also strives to optimize student outcomes, making it a valuable tool for modern virtual education systems

Indian Journal of Computer Science and Technology
Openalex Percentile: Top 96%
Intelligent Tutoring Systems and Adaptive Learning
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