Scopus Indexed Publications

Paper Details


Title
A systematic review of machine learning techniques in online learning platforms
Author
Cyril Elorm Kodjo Agbewali-Koku, Lutfun Nahar Oysharja, Md. Atiqur Rahman, Md. Tazmim Hossain,
Email
Abstract
The mode of education has changed over the past few years from the conventional method of in-person classes to the usage of online platforms to facilitate teaching and learning. These platforms popularly, known as online learning systems, have gradually become an integral part of education. These online platforms have been designed using various Artificial intelligence frameworks and techniques to enhance their functionality and personalize them for their users. Machine learning is one of the major fields of AI that has been used in most of these online platforms. Popular machine learning techniques such as deep learning, natural language processing, reinforcement learning, and others are being actively used and studied to further improve them for use. In this study, the focus will be on content analysis of different studies aimed at disclosing machine learning techniques that have been applied in the online learning sector and exploring the potential research trends and challenges of integrating machine learning techniques in online learning. The study will focus on published papers from the year 2015 to 2021, classifying them based on the research question.

Keywords
Machine learning , deep learning , reinforcement learning , online learning platforms , AI-Artificial Intelligence
Journal or Conference Name
Proceedings - 2022 IEEE 15th International Symposium on Embedded Multicore/Many-Core Systems-on-Chip, MCSoC 2022
Publication Year
2022
Indexing
scopus