A systematic review on educational data mining
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 …
enrolment and attendance records, as well as their examination results. Mining such data …
[PDF][PDF] Students' academic performance and dropout predictions: A review
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 …
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
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 …
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 …
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 …
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
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 …
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 …
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 …
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
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 …
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
Attaining high retention rates among engineering institutions is a predominant is-sue. A
significant portion of engineering students face challenges of retention. Academic advising …
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 …
education institutions and especially for improving students' performance and institution …