[HTML][HTML] A systematic review of the literature on machine learning application of determining the attributes influencing academic performance

I Issah, O Appiah, P Appiahene, F Inusah - Decision analytics journal, 2023 - Elsevier
Academic institutions operate in an extremely demanding and competitive environment.
Some difficulties confronting most schools are delivering high-quality education to the …

[HTML][HTML] Student course grade prediction using the random forest algorithm: Analysis of predictors' importance

M Nachouki, EA Mohamed, R Mehdi… - Trends in Neuroscience …, 2023 - Elsevier
Background Universities need to find strategies for improving student retention rates.
Predicting student academic performance enables institutions to identify underachievers …

How machine learning (ml) is transforming higher education: A systematic literature review

AS Pinto, A Abreu, E Costa, J Paiva - Journal of Information …, 2023 - comum.rcaap.pt
In the last decade, artificial intelligence (AI), machine learning (ML) and learning data
analytics have been introduced with great effect in the field of higher education. However …

[HTML][HTML] The Power of Deep Learning Techniques for Predicting Student Performance in Virtual Learning Environments: A Systematic Literature Review

B Alnasyan, M Basheri, M Alassafi - Computers and Education: Artificial …, 2024 - Elsevier
With the advances in Artificial Intelligence (AI) and the increasing volume of online
educational data, Deep Learning techniques have played a critical role in predicting student …

Predicting the impact of internet usage on students' academic performance using machine learning techniques in Bangladesh perspective

SH Hemal, MAR Khan, I Ahammad, M Rahman… - Social Network Analysis …, 2024 - Springer
Education systems have significantly changed with the emergence of the internet. It has a
significant impact on how students learn things. Nevertheless, its impact can also be …

Predicting Student Performance in a Programming Tutoring System Using AI and Filtering Techniques

M Ilic, G Kekovic, V Mikic, K Mangaroska… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
In recent years, there has been an increasing trend of utilizing artificial intelligence (AI)
methodologies over traditional statistical methods for predicting student performance in …

[PDF][PDF] Comparative analysis of classification algorithm evaluations to predict secondary school students' achievement in core and elective subjects

H Nawang, M Makhtar… - International Journal of …, 2022 - researchgate.net
Many researchers in educational data mining (EDM) have explored various machine
learning techniques in order to predict students' performance. However, the most daunting …

Predicting Student Grade Point Average: Comparison of Machine Learning Regression Algorithms

EA Mohammed, M Abou Naaj… - … Arab Conference on …, 2023 - ieeexplore.ieee.org
Education data mining has emerged as a powerful technique for uncovering hidden patterns
in educational data, forecasting academic achievement, and increasing retention rates. In …

[HTML][HTML] Explaining Factors of Student Attrition at Higher Education

I Alcauter, L Martinez-Villasenor, H Ponce - Computación y Sistemas, 2023 - scielo.org.mx
The examination of student attrition within higher education is a dynamic field that seeks to
tackle the complex task of preventing dropout occurrences and formulating effective …

[PDF][PDF] Deep Learning Techniques for Predicting Student's Academic Performance on Virtual Learning Environments: A Review

B Alnasyan, M Basheri, M Alassafi - 2024 - scholar.archive.org
Abstract With advances in Artificial Intelligence (AI) and the increasing volume of online
educational data, Deep Learning techniques have played a critical role in predicting …