Classification technique and its combination with clustering and association rule mining in educational data mining—A survey
Educational data mining (EDM) is the application of data mining in the educational field.
EDM is used to classify, analyze, and predict the students' academic performance, and …
EDM is used to classify, analyze, and predict the students' academic performance, and …
A survey on educational data mining methods used for predicting students' performance
W **ao, 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' …
Machine learning-based student's native place identification for real-time
Mindset reading of a student towards technology is a challenging task. The student's
demographic features prediction has a significant aspect for the learning activities in …
demographic features prediction has a significant aspect for the learning activities in …
Using machine learning to predict factors affecting academic performance: the case of college students on academic probation
L Al-Alawi, J Al Shaqsi, A Tarhini… - Education and Information …, 2023 - Springer
This study aims to employ the supervised machine learning algorithms to examine factors
that negatively impacted academic performance among college students on probation …
that negatively impacted academic performance among college students on probation …
Support vector machine accuracy improvement with classification
Rapid increase in the information technology through digitalization, leads to fast
enhancement in technical industry has expanded the need for effective data mining. Data …
enhancement in technical industry has expanded the need for effective data mining. Data …
An improved early student's academic performance prediction using deep learning
Nowadays due to technological revolution huge amount of data is generated in every fields
including education as well. Extracting the useful insights from consequential data is a very …
including education as well. Extracting the useful insights from consequential data is a very …
Predicting student academic performance at higher education using data mining: A systematic review
Recently, educational institutions faced many challenges. One of these challenges is the
huge amount of educational data that can be used to discover new insights that have a …
huge amount of educational data that can be used to discover new insights that have a …
Multi-view hypergraph neural networks for student academic performance prediction
Academic performance prediction is a fundamental and hot issue in educational data mining
(EDM). Recently, researchers have proposed a series of effective machine learning (ML) …
(EDM). Recently, researchers have proposed a series of effective machine learning (ML) …
Predicting student academic performance using support vector machine and random forest
L H. Alamri, R S. Almuslim, M S. Alotibi… - Proceedings of the …, 2020 - dl.acm.org
The use of machine learning and data mining in the educational field to predict student
performance, known as educational data mining, which has always been an important study …
performance, known as educational data mining, which has always been an important study …
Improving learning experience of students by early prediction of student performance using machine learning
Early indications regarding students' progress help academics to optimise their learning
strategies and focus on diverse educational practices to make the learning experience …
strategies and focus on diverse educational practices to make the learning experience …