Student performance analysis and prediction in classroom learning: A review of educational data mining studies
Student performance modelling is one of the challenging and popular research topics in
educational data mining (EDM). Multiple factors influence the performance in non-linear …
educational data mining (EDM). Multiple factors influence the performance in non-linear …
Educational big data: Predictions, applications and challenges
Educational big data is becoming a strategic educational asset, exceptionally significant in
advancing educational reform. The term educational big data stems from the rapidly growing …
advancing educational reform. The term educational big data stems from the rapidly growing …
Predicting academic performance using an efficient model based on fusion of classifiers
In the past few years, educational data mining (EDM) has attracted the attention of
researchers to enhance the quality of education. Predicting student academic performance …
researchers to enhance the quality of education. Predicting student academic performance …
A survey on predictive models of learning analytics
In recent years, the evolution of research in the domain of education focuses on learning
analytics which provides vital insights on education outcome by collecting valuable data …
analytics which provides vital insights on education outcome by collecting valuable data …
Predicting student performance using clickstream data and machine learning
Student performance predictive analysis has played a vital role in education in recent years.
It allows for the understanding students' learning behaviours, the identification of at-risk …
It allows for the understanding students' learning behaviours, the identification of at-risk …
Self-efficacy and academic success among diverse first-generation college students: The mediating role of self-regulation
J Koh, SP Farruggia, LT Back, C Han - Social Psychology of Education, 2022 - Springer
This study examines whether self-efficacy predicted academic success (via self-regulation)
for first-generation and continuing-generation college students (Model 1) and among …
for first-generation and continuing-generation college students (Model 1) and among …
Enabling adaptability in web forms based on user characteristics detection through A/B testing and machine learning
J Cruz-Benito, A Vázquez-Ingelmo… - IEEE …, 2017 - ieeexplore.ieee.org
This paper presents an original study with the aim of improving users' performance in
completing large questionnaires through adaptability in web forms. Such adaptability is …
completing large questionnaires through adaptability in web forms. Such adaptability is …
Proposing a machine learning approach to analyze and predict employment and its factors
This paper presents an original study with the aim of propose and test a machine learning
approach to research about employability and employment. To understand how the …
approach to research about employability and employment. To understand how the …
A neuro-fuzzy model for predicting and analyzing student graduation performance in computing programs
R Mehdi, M Nachouki - Education and Information Technologies, 2023 - Springer
Predicting student's successful completion of academic programs and the features that
influence their performance can have a significant effect on improving students' completion …
influence their performance can have a significant effect on improving students' completion …
Academic performance prediction based on multisource, multifeature behavioral data
L Zhao, K Chen, J Song, X Zhu, J Sun… - IEEE …, 2020 - ieeexplore.ieee.org
Digital data trails from disparate sources covering different aspects of student life are stored
daily in most modern university campuses. However, it remains challenging to (i) combine …
daily in most modern university campuses. However, it remains challenging to (i) combine …