Year: 2024
Type: article
Abstract: Predicting student performance has been long- standing challenge in education. Machine learning algorithms offer a promising approach to address this challenge by analysing historical data and identifying patterns that can be used to predict future performance. This paper provides a comprehensive review of various machine learning algorithms applied to student performance prediction. We delve into the background the problem, explore different datasets used in related research, discuss the methodologies employed and analyse the limitations and results of existing studies. By understanding the strengths and weaknesses of these algorithms, educators and researchers can make informed decisions about the most suitable techniques for their specific needs
Authors: Agnes John, Viendra
Institution: Sharda University
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4405894584