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 …
Interpretable dropout prediction: towards XAI-based personalized intervention
M Nagy, R Molontay - International Journal of Artificial Intelligence in …, 2024 - Springer
Student drop-out is one of the most burning issues in STEM higher education, which induces
considerable social and economic costs. Using machine learning tools for the early …
considerable social and economic costs. Using machine learning tools for the early …
Time series analysis for education: Methods, applications, and future directions
Recent advancements in the collection and analysis of sequential educational data have
brought time series analysis to a pivotal position in educational research, highlighting its …
brought time series analysis to a pivotal position in educational research, highlighting its …
Applying machine learning approach to predict students' performance in higher educational institutions
MN Yakubu, AM Abubakar - Kybernetes, 2022 - emerald.com
Purpose Academic success and failure are relevant lifelines for economic success in the
knowledge-based economy. The purpose of this paper is to predict the propensity of …
knowledge-based economy. The purpose of this paper is to predict the propensity of …
Interpretable multiview early warning system adapted to underrepresented student populations
A Cano, JD Leonard - IEEE Transactions on Learning …, 2019 - ieeexplore.ieee.org
Early warning systems have been progressively implemented in higher education
institutions to predict student performance. However, they usually fail at effectively …
institutions to predict student performance. However, they usually fail at effectively …
Correlation between the Practical Aspect of the Course and the E-Learning Progress
D Bylieva, V Lobatyuk, A Safonova, A Rubtsova - Education Sciences, 2019 - mdpi.com
The aim of the study was to analyze the correlation between the students' involvement and
their progress within the online component of the blended learning model during the …
their progress within the online component of the blended learning model during the …
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 …
Analytic study for predictor development on student participation in generic competence development activities based on academic performance
Generic competence (GC) development is an integral part of higher education to provide
holistic education and enhance student career development. It also plays a critical role in …
holistic education and enhance student career development. It also plays a critical role in …
Recommendation of project management practices: A contribution to hybrid models
MJ Bianchi, EC Conforto, E Rebentisch… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Dealing with an uncertain and dynamic environment when facing multiple and fast-paced
challenges forces professionals to adopt agile practices in different environments, resulting …
challenges forces professionals to adopt agile practices in different environments, resulting …
Repositioning students as co-creators of curriculum for online learning resources
Amid increasing calls for universities to transition to online learning, there is a need to
explore how platforms and technology can provide positive student experiences and support …
explore how platforms and technology can provide positive student experiences and support …