Assessment and evaluation of different machine learning algorithms for predicting student performance

YA Alsariera, Y Baashar, G Alkawsi… - Computational …, 2022 - Wiley Online Library
Student performance is crucial to the success of tertiary institutions. Especially, academic
achievement is one of the metrics used in rating top‐quality universities. Despite the large …

Educational Data Mining: A review of evaluation process in the e-learning

MW Rodrigues, S Isotani, LE Zarate - Telematics and Informatics, 2018 - Elsevier
Due to the growing interest in e-learning as an important process of teaching and learning,
new mechanisms to evaluate its pedagogical effectiveness are necessaries. This review …

Educational data mining: prediction of students' academic performance using machine learning algorithms

M Yağcı - Smart Learning Environments, 2022 - Springer
Educational data mining has become an effective tool for exploring the hidden relationships
in educational data and predicting students' academic achievements. This study proposes a …

Predicting academic performance of students from VLE big data using deep learning models

H Waheed, SU Hassan, NR Aljohani, J Hardman… - Computers in Human …, 2020 - Elsevier
The abundance of accessible educational data, supported by the technology-enhanced
learning platforms, provides opportunities to mine learning behavior of students, addressing …

Predicting academic performance of students using a hybrid data mining approach

BK Francis, SS Babu - Journal of medical systems, 2019 - Springer
Data mining offers strong techniques for different sectors involving education. In the
education field the research is developing rapidly increasing due to huge number of …

Using data mining techniques to predict student performance to support decision making in university admission systems

HA Mengash - Ieee Access, 2020 - ieeexplore.ieee.org
An admissions system based on valid and reliable admissions criteria is very important to
select candidates likely to perform well academically at institutions of higher education. This …

Educational data mining to predict students' academic performance: A survey study

S Batool, J Rashid, MW Nisar, J Kim, HY Kwon… - Education and …, 2023 - Springer
Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …

Artificial neural networks for educational data mining in higher education: A systematic literature review

E Okewu, P Adewole, S Misra… - Applied Artificial …, 2021 - Taylor & Francis
Efforts to raise the bar of higher education so as to respond to dynamic societal/industry
needs have led to a number of initiatives, including artificial neural network (ANN) based …

Classification technique and its combination with clustering and association rule mining in educational data mining—A survey

SM Dol, PM Jawandhiya - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
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 …

Prediction of student academic performance based on their emotional wellbeing and interaction on various e-learning platforms

A Kukkar, R Mohana, A Sharma, A Nayyar - Education and Information …, 2023 - Springer
Predicting student performance is crucial in higher education, as it facilitates course
selection and the development of appropriate future study plans. The process of supporting …