A systematic review on educational data mining

A Dutt, MA Ismail, T Herawan - Ieee Access, 2017 - ieeexplore.ieee.org
Presently, educational institutions compile and store huge volumes of data, such as student
enrolment and attendance records, as well as their examination results. Mining such data …

[PDF][PDF] Students' academic performance and dropout predictions: A review

AO Ameen, MA Alarape, KS Adewole - Malaysian Journal of …, 2019 - academia.edu
ABSTRACT Students' Academic Performance (SAP) is an important metric in determining
the status of students in any academic institution. It allows the instructors and other …

[PDF][PDF] A meta-analysis of educational data mining for predicting students performance in programming

D Moonsamy, N Naicker, TT Adeliyi… - … Journal of Advanced …, 2021 - openscholar.dut.ac.za
An essential skill amid the 4th industrial revolution is the ability to write good computer
programs. Therefore, higher education institutions are offering computer programming as a …

Investigating Students' Pre-University Admission Requirements and Their Correlation with Academic Performance for Medical Students: An Educational Data Mining …

A Qahmash, N Ahmad, A Algarni - Brain Sciences, 2023 - mdpi.com
Medical education is one of the most sought-after disciplines for its prestigious and noble
status. Institutions endeavor to identify admissions criteria to register bright students who can …

Explainable Models for Predicting Academic Pathways for High School Students in Saudi Arabia

M Abdalkareem, N Min-Allah - IEEE Access, 2024 - ieeexplore.ieee.org
The science of data mining has contributed considerably to the education sector. However,
most educational data mining (EDM) studies have focused on predicting the future …

Estimation of Learners' Levels of Adaptability in Online Education Using Imbalanced Dataset

M Sree, JJ James, A Shaji… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
The COVID-19 epidemic has had a huge impact on education, causing a quick move to
online learning environments. Students had to adjust to a virtual learning environment as a …

Improving students performance in introductory programming subject: A case study

H Aris - 2015 10th International Conference on Computer …, 2015 - ieeexplore.ieee.org
The teaching of programming subjects has always been a great challenge to both the
lecturers and students alike. For the lecturers, the challenge is in ensuring that the students …

[PDF][PDF] Contributions from data mining to study academic performance of students of a tertiary institute

DL la Red Martínez, CEP Gómez - American Journal of Educational …, 2014 - Citeseer
Education-oriented data mining allows to predict determined type of factor or characteristic
of a case, phenomenon or situation. In this article the mining models used are described and …

A Rule Induction Framework on the Effect of 'Negative'Attributes to Academic Performance

I Gue, A Sy, A Nuñez, P Loresco, J Onia… - International Journal of …, 2021 - learntechlib.org
Attaining high retention rates among engineering institutions is a predominant is-sue. A
significant portion of engineering students face challenges of retention. Academic advising …

Data mining model for better admissions in higher educational institutions (heis)—a case study of bahrain

SS Bhaskaran, MA Aali - … and Applications: Proceedings of AMLTA 2020, 2021 - Springer
Data mining has been used for a variety of objectives for improving the quality of higher
education institutions and especially for improving students' performance and institution …