Predicting academic performance: a systematic literature review
The ability to predict student performance in a course or program creates opportunities to
improve educational outcomes. With effective performance prediction approaches …
improve educational outcomes. With effective performance prediction approaches …
Explainable student performance prediction models: a systematic review
R Alamri, B Alharbi - IEEE Access, 2021 - ieeexplore.ieee.org
Successful prediction of student performance has significant impact to many stakeholders,
including students, teachers and educational institutes. In this domain, it is equally important …
including students, teachers and educational institutes. In this domain, it is equally important …
A survey on educational data mining methods used for predicting students' performance
W Xiao, 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' …
[PDF][PDF] Comparison of predicting student's performance using machine learning algorithms
V Vijayalakshmi… - International Journal of …, 2019 - researchgate.net
Predicting the student performance is playing vital role in educational sector so that the
analysis of student's status helps to improve for better performance. Applying data mining …
analysis of student's status helps to improve for better performance. Applying data mining …
[PDF][PDF] Comparative study of supervised algorithms for prediction of students' performance
MT Sathe, AC Adamuthe - International Journal of Modern …, 2021 - researchgate.net
Predicting academic performance of the student is crucial task as it depends on various
factors. To perform such predictions the machine learning and data mining algorithms are …
factors. To perform such predictions the machine learning and data mining algorithms are …
Survey of machine learning techniques for student profile modeling
T Hamim, F Benabbou, N Sael - International Journal of Emerging …, 2021 - learntechlib.org
Developments in information technology have led to the emergence of several online
platforms for educational purposes, such as e-learning platforms, e-recommendation …
platforms for educational purposes, such as e-learning platforms, e-recommendation …
Online learning behavior analysis based on machine learning
N Yan, OTS Au - Asian association of open universities journal, 2019 - emerald.com
Purpose The purpose of this paper is to make a correlation analysis between students'
online learning behavior features and course grade, and to attempt to build some effective …
online learning behavior features and course grade, and to attempt to build some effective …
Student performance prediction via online learning behavior analytics
W Zhang, X Huang, S Wang, J Shu… - 2017 International …, 2017 - ieeexplore.ieee.org
With the continuous development of online learning platforms, educational data analytics
and prediction have become a promising research field, which are helpful for the …
and prediction have become a promising research field, which are helpful for the …
Unlocking the potential of competency exam data with machine learning: improving higher education evaluation
In Jordanian higher education institutions, a competency exam was developed to ensure
that students had the ability to attain particular competence levels. The results of the …
that students had the ability to attain particular competence levels. The results of the …
Education analytics: Challenges and approaches
L Zhang, KF Li - 2018 32nd international conference on …, 2018 - ieeexplore.ieee.org
We present a survey on the current status of education analytics. Over 80 state-of-the-art
research projects and reports, published from 2013 to 2017 and archived in IEEE Xplore …
research projects and reports, published from 2013 to 2017 and archived in IEEE Xplore …