X Bai, F Zhang, J Li, T Guo, A Aziz, A Jin, F Xia - Big Data Research, 2021 - Elsevier
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 …
W Jiang, ZA Pardos, Q Wei - … of the 9th international conference on …, 2019 - dl.acm.org
With cross-disciplinary academic interests increasing and academic advising resources over capacity, the importance of exploring data-assisted methods to support student decision …
The dropout rates in the European countries is one of the major issues to be faced in a near future as stated in the Europe 2020 strategy. In 2017, an average of 10.6% of young people …
F Khoushehgir, S Sulaimany - Education and Information Technologies, 2023 - Springer
In recent years, the rapid growth of Massive Open Online Courses (MOOCs) has attracted much attention for related research. Besides, one of the main challenges in MOOCs is the …
The prediction of student performance is one of the major issues in many higher education institutions throughout the world. This issue is lately detected due to the lack of a proper …
With the emergence of novel methods for improving machine learning (ML) transparency, traditional decision-support-focused information systems seem to need an upgrade in their …
E Ismanto, HA Ghani… - IAES International Journal …, 2023 - myscholar.umk.edu.my
Virtual learning environment is becoming an increasingly popular study option for students from diverse cultural and socioeconomic backgrounds around the world. Although this …
H Li, W Ding, Z Liu - arXiv preprint arXiv:2003.09670, 2020 - arxiv.org
With the rapid emergence of K-12 online learning platforms, a new era of education has been opened up. It is crucial to have a dropout warning framework to preemptively identify K …
M Tete, M Sousa, T Santana, S Fellipe - Education Policy Analysis …, 2022 - epaa.asu.edu
School dropout is considered a complex problem and one that cuts across several levels of analysis. The development of predictive models has been a more dynamic and proactive …