[PDF][PDF] Predict students' academic performance based on their assessment grades and online activity data
The ability to predict students' academic performance is critical for any educational institution
that aims to improve their students' learning process and achievement. Although students' …
that aims to improve their students' learning process and achievement. Although students' …
[PDF][PDF] Prediction of student dropout in Malaysian's private higher education institute using data mining application
N Roslan - Turkish Journal of Computer and Mathematics …, 2021 - scholar.archive.org
Student dropout issue is a major concern among the academics and management of the
university. The higher rate of student dropout impacted the university reputation such as …
university. The higher rate of student dropout impacted the university reputation such as …
An exploration of student grade retention prediction using machine learning algorithms
A Ibourk, I Ouaadi - International Conference on Business Intelligence, 2022 - Springer
Education is an important determinant of nation that succeed, nowadays, artificial
intelligence algorithms have been applying practically in all field of science. As a result …
intelligence algorithms have been applying practically in all field of science. As a result …
Analysis of the pedagogical effectiveness of teacher qualification cycle in Morocco: a machine learning model approach
A Ibourk, K Hnini, I Ouaadi - International Conference on Advanced …, 2022 - Springer
Given the importance of education, and their related professions such as teaching
qualification. We attempt in this paper to investigate the pedagogical effectiveness of trainee …
qualification. We attempt in this paper to investigate the pedagogical effectiveness of trainee …
An Illustration of Using Adaptive Data Mining to Develop Strategic Knowledge Bases for Student Retention
PS Deng, A Chaudhury - 2023 - digitalcommons.bryant.edu
Technological development has engaged educational institutions in fierce global
competition. To be competitive in meeting the changing needs of today's student population …
competition. To be competitive in meeting the changing needs of today's student population …
Using affinity analysis-driven adaptive data mining life cycle for the development of a student retention DSS
PS Deng - WSEAS Transactions on Advances in Engineering …, 2021 - wseas.com
Technological development has engaged educational institutions in fierce global
competition. To be competitive in meeting the changing needs of today's student population …
competition. To be competitive in meeting the changing needs of today's student population …
Using data mining techniques to predict students' academic performance
JS ARABIA - platform.almanhal.com
Using data mining techniques to predict students' academic performance Page 1 Using data
mining techniques to predict students' academic performance Amal Mahdi Ali Alhassan A thesis …
mining techniques to predict students' academic performance Amal Mahdi Ali Alhassan A thesis …
Prediction of Student Dropout in Malaysian's Private Higher Education Institute using Data Mining Application
N Roslan, JM Jamil, INM Shaharanee… - Journal of Advanced …, 2025 - semarakilmu.com.my
Student dropout issue is a major concern among the academics and management of the
university. The higher rate of student dropout impacted the university reputation such as …
university. The higher rate of student dropout impacted the university reputation such as …
[引用][C] EDUCATIONAL DATA MINING BASED-APPROACHES FOR STUDENT MODELING
O EL AISSAOUI - 2021 - Sidi Mohamed Ben Abdellah …