International Journal Of Engineering And Management Research
  • Year: 2022
  • Volume: 12
  • Issue: 6

Learning management system built using the MERN stack

  • Author:
  • H. P. A. H. Piyumantha1,*, D. V. S. Prabhash2, T. K. Weerasinghe3, R. T. K. Weerasiri4, D.I. De Silva5, S. M. D. T. H. Dias6
  • Total Page Count: 7
  • Page Number: 149 to 155

1Faculty of Computing, Sri Lanka Institute of Information Technology, New Kandy RD, Malabe, Sri Lanka

2Faculty of Computing, Sri Lanka Institute of Information Technology, New Kandy RD, Malabe, Sri Lanka

3Faculty of Computing, Sri Lanka Institute of Information Technology, New Kandy RD, Malabe, Sri Lanka

4Faculty of Computing, Sri Lanka Institute of Information Technology, New Kandy RD, Malabe, Sri Lanka

5Faculty of Computing, Sri Lanka Institute of Information Technology, New Kandy RD, Malabe, Sri Lanka

6Faculty of Computing, Sri Lanka Institute of Information Technology, New Kandy RD, Malabe, Sri Lanka

*Corresponding Author: dvsprabhash99@gmail.com

Online published on 30 March, 2023.

Abstract

Web based applications play a main role in our day-to-day life and therefore, it is important to ensure the quality and reliability of web applications. With the sudden increase in use of web based applications for online and distant learning, it is important to address existing issues in current Learning Management Systems (LMS), so that users can benefit from a better, uninterrupted learning experience. This work mainly contributes to understanding how the MERN stack can be efficiently used in building a reliable and secure LMS that will provide its services free of charge so that students are provided with a free and uninterrupted learning experience. An LMS that is equipped with user handling functionality, managing courses and course materials, and maintaining a library, has been the focus of the study that resulted in producing this paper. The work also includes reasoning as to why the MERN stack was selected for developing the proposed system.

Keywords

Express JS, MERN, Mongo DB, Node JS, React JS