[HTML][HTML] A systematic literature review of student'performance prediction using machine learning techniques
Educational Data Mining plays a critical role in advancing the learning environment by
contributing state-of-the-art methods, techniques, and applications. The recent development …
contributing state-of-the-art methods, techniques, and applications. The recent development …
A survey on educational data mining methods used for predicting students' performance
W Xiao, P Ji, J Hu - Engineering Reports, 2022 - Wiley Online Library
Predicting students' performance is one of the most important issues in educational data
mining (EDM), which has received more and more attention. By predicting students' …
mining (EDM), which has received more and more attention. By predicting students' …
Prediction of students' academic performance based on courses' grades using deep neural networks
A Nabil, M Seyam, A Abou-Elfetouh - IEEE Access, 2021 - ieeexplore.ieee.org
Predicting students' academic performance at an early stage of a semester is one of the
most crucial research topics in the field of Educational Data Mining (EDM). Students are …
most crucial research topics in the field of Educational Data Mining (EDM). Students are …
Practical early prediction of students' performance using machine learning and eXplainable AI
Predicting students' performance in advance could help assist the learning process; if “at-
risk” students can be identified early on, educators can provide them with the necessary …
risk” students can be identified early on, educators can provide them with the necessary …
Using ensemble learning algorithms to predict student failure and enabling customized educational paths
One of the challenges in e‐learning is the customization of the learning environment to
avoid learners' failures. This paper proposes a Stacked Generalization for Failure Prediction …
avoid learners' failures. This paper proposes a Stacked Generalization for Failure Prediction …
[HTML][HTML] The role of demographic and academic features in a student performance prediction
Abstract Educational Data Mining is widely used for predicting student's performance. It'sa
challenging task because a plethora of features related to demographics, personality traits …
challenging task because a plethora of features related to demographics, personality traits …
A machine learning prediction of academic performance of secondary school students using radial basis function neural network
Background Predictive models for academic performance forecasting have been a useful
tool in the improvement of the administrative, counseling and instructional personnel of …
tool in the improvement of the administrative, counseling and instructional personnel of …
[HTML][HTML] Predictive analysis of students' learning performance using data mining techniques: A comparative study of feature selection methods
S Syed Mustapha - Applied System Innovation, 2023 - mdpi.com
The utilization of data mining techniques for the prompt prediction of academic success has
gained significant importance in the current era. There is an increasing interest in utilizing …
gained significant importance in the current era. There is an increasing interest in utilizing …
[HTML][HTML] Customized rule-based model to identify at-risk students and propose rational remedial actions
Detecting at-risk students provides advanced benefits for improving student retention rates,
effective enrollment management, alumni engagement, targeted marketing improvement …
effective enrollment management, alumni engagement, targeted marketing improvement …
RnkHEU: A hybrid feature selection method for predicting students' performance
W Xiao, P Ji, J Hu - Scientific Programming, 2021 - Wiley Online Library
Predicting students' performance is one of the most concerned issues in education data
mining (EDM), which has received more and more attentions. Feature selection is the key …
mining (EDM), which has received more and more attentions. Feature selection is the key …