A Review on Students’ Performance Analysis and Feedback System in the Virtual Learning Environment and e-Learning Environment

Authors

  • Sireesha Prathi Gadapa Asia Pacific University (APU)
  • Salwani Mohd Daud University Malaysia of Computer Science & Engineering (UNIMY)

Keywords:

Student performance, learning outcomes, e-learning, virtual learning environment, machine learning, deep learning

Abstract

In today's learning environment, educators must be able to forecast student performance and provide feedback to students in order for them to fully understand their academic position. As a result, they must adapt their teaching practices to enhance their learning outcomes. To overcome this problem many alternative and advanced methods have been proposed and implemented by research scholars. This study is based on the systematic review of previous research work based on the e-learning system and virtual learning environment to recognize significant research in the field of education systems. The research work is based on machine learning, deep learning models, and dataset used for the system. The research has contributed to highlighting the related challenges and solutions in virtual tutor and performance analysis implementation and presented a solution that will help to manage the huge data in the e-learning platforms.

Published

2022-12-31

How to Cite

Prathi Gadapa, S., & Mohd Daud, S. (2022). A Review on Students’ Performance Analysis and Feedback System in the Virtual Learning Environment and e-Learning Environment. Journal of Innovation and Emerging Digital Technologies (JIEDT), 1(2), 42–51. Retrieved from https://journal.unimy.edu.my/index.php/JIEDT/article/view/JIEDT.V1.NO2.ART5.DEC2022