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Review Article
Virtu Learn: A MERN Stack Based Online Learning Platform with Integrated ML Driven Learner Analysis
Chaitra BV1
Asha N2
Jessica Madhu Y3
Kaveri E4
1234 Department of Computer Science and Design, Dayananda Sagar Academy of Technology & Management, Bengaluru, Karnataka, India.
Published Online: January-April 2025
Pages: 248-253
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20250401038
References
1. W. Villegas-Ch, J. García-Ortiz and S. Sánchez-Viteri, "Application of Artificial Intelligence in Online Education: Influence of Student
Participation on Academic Retention in Virtual Courses," in IEEE Access, vol. 12, pp. 73045-73065, 2024,
doi:10.1109/ACCESS.2024.3403758.
2. S. Amin, M. I. Uddin, A. A. Alarood, W. K. Mashwani, A. Alzahrani and A. O. Alzahrani, "Smart E-Learning Framework for Personalized
Adaptive Learning and Sequential Path Recommendations Using Reinforcement Learning," in IEEE Access, vol. 11, pp. 89769-89790, 2023,
doi: 10.1109/ACCESS.2023.3305584.
3. B. Alojaiman, "Toward Selection of Trustworthy and Efficient E-Learning Platform," in IEEE Access, vol. 9, pp. 133889-133901, 2021, doi:
10.1109/ACCESS.2021.3114150.
4. B. Pardamean, T. Suparyanto, T. W. Cenggoro, D. Sudigyo and A. Anugrahana, "AI-Based Learning Style Prediction in Online Learning for
Primary Education," in IEEE Access, vol. 10, pp. 35725-35735, 2022, doi: 10.1109/ACCESS.2022.3160177.
5. S. Amin, M. I. Uddin, W. K. Mashwani, A. A. Alarood, A. Alzahrani and A. O. Alzahrani, "Developing a Personalized ELearning and MOOC
Recommender System in IoT-Enabled Smart Education," in IEEE Access, vol. 11, pp. 136437-136455, 2023,doi:
10.1109/ACCESS.2023.3336676.
6. Y. Chae, "Blockchain Technology in Education: A Comprehensive Review in Transparency," 2023 Congress in ComputerScience, Computer
Engineering, & Applied Computing (CSCE), Las Vegas, NV, USA, 2023, pp. 850-857, doi:10.1109/CSCE60160.2023.00144.
7. S. R. Choudhary and A. K. Bansal, "Development of Scalable Web Applications Using MERN Stack," 2021 2nd InternationalConference on
Intelligent Engineering and Management (ICIEM), London, UK, 2021, pp. 160–164, doi:10.1109/ICIEM51511.2021.9445270.
8. M. U. Ahmad, A. Hussain and O. Kwon, "Artificial Intelligence Techniques for Student Engagement Analysis in OnlineLearning
Environments," IEEE Access, vol. 9, pp. 141217–141232, 2021, doi: 10.1109/ACCESS.2021.3119678.
9. A. Alsawaier, "The Effect of Gamification on Motivation and Engagement," International Journal of Information and LearningTechnology,
vol. 35, no. 1, 2018, pp. 56–79, doi: 10.1108/IJILT-02-2017-0009.
10. M. Aljawarneh, "Security in E-Learning Systems," Computers in Human Behavior, vol. 92, 2019, pp. 90–98, doi:10.1016/j.chb.2018.10.028
11. Shamim, A. (2023). Personalized Learning & Adaptive Education Dataset. Kaggle.
https://www.kaggle.com/datasets/adilshamim8/personalized-learning-and-adaptive-education-dataset
Participation on Academic Retention in Virtual Courses," in IEEE Access, vol. 12, pp. 73045-73065, 2024,
doi:10.1109/ACCESS.2024.3403758.
2. S. Amin, M. I. Uddin, A. A. Alarood, W. K. Mashwani, A. Alzahrani and A. O. Alzahrani, "Smart E-Learning Framework for Personalized
Adaptive Learning and Sequential Path Recommendations Using Reinforcement Learning," in IEEE Access, vol. 11, pp. 89769-89790, 2023,
doi: 10.1109/ACCESS.2023.3305584.
3. B. Alojaiman, "Toward Selection of Trustworthy and Efficient E-Learning Platform," in IEEE Access, vol. 9, pp. 133889-133901, 2021, doi:
10.1109/ACCESS.2021.3114150.
4. B. Pardamean, T. Suparyanto, T. W. Cenggoro, D. Sudigyo and A. Anugrahana, "AI-Based Learning Style Prediction in Online Learning for
Primary Education," in IEEE Access, vol. 10, pp. 35725-35735, 2022, doi: 10.1109/ACCESS.2022.3160177.
5. S. Amin, M. I. Uddin, W. K. Mashwani, A. A. Alarood, A. Alzahrani and A. O. Alzahrani, "Developing a Personalized ELearning and MOOC
Recommender System in IoT-Enabled Smart Education," in IEEE Access, vol. 11, pp. 136437-136455, 2023,doi:
10.1109/ACCESS.2023.3336676.
6. Y. Chae, "Blockchain Technology in Education: A Comprehensive Review in Transparency," 2023 Congress in ComputerScience, Computer
Engineering, & Applied Computing (CSCE), Las Vegas, NV, USA, 2023, pp. 850-857, doi:10.1109/CSCE60160.2023.00144.
7. S. R. Choudhary and A. K. Bansal, "Development of Scalable Web Applications Using MERN Stack," 2021 2nd InternationalConference on
Intelligent Engineering and Management (ICIEM), London, UK, 2021, pp. 160–164, doi:10.1109/ICIEM51511.2021.9445270.
8. M. U. Ahmad, A. Hussain and O. Kwon, "Artificial Intelligence Techniques for Student Engagement Analysis in OnlineLearning
Environments," IEEE Access, vol. 9, pp. 141217–141232, 2021, doi: 10.1109/ACCESS.2021.3119678.
9. A. Alsawaier, "The Effect of Gamification on Motivation and Engagement," International Journal of Information and LearningTechnology,
vol. 35, no. 1, 2018, pp. 56–79, doi: 10.1108/IJILT-02-2017-0009.
10. M. Aljawarneh, "Security in E-Learning Systems," Computers in Human Behavior, vol. 92, 2019, pp. 90–98, doi:10.1016/j.chb.2018.10.028
11. Shamim, A. (2023). Personalized Learning & Adaptive Education Dataset. Kaggle.
https://www.kaggle.com/datasets/adilshamim8/personalized-learning-and-adaptive-education-dataset
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