Explainable Student Risk Models
Explainable Student Risk Models is a type of predictive analytics framework in educational data mining that identifies students at risk of dropping out while providing human-interpretable explanations for its predictions, thereby distinguishing itself from opaque models by prioritizing transparency and actionable insights in academic intervention strategies.
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Publications
207
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11
Institutions
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2017–2026
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Balqis Albreiki, Tetiana Habuza, Nazar Zaki · International Journal of Educational Technology in Higher Education · 2022 · 29 citations · Full text
Martin Hlosta, Christothea Herodotou, Tina Papathoma et al. · Computers and Education Artificial Intelligence · 2022 · 26 citations · Full text
Education, Educational Technology, Artificial Intelligence In Education +15
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Edith Cowan University
Perth, Australia
1 h-index
3 publications
42 citations

The Open University
Milton Keynes, United Kingdom
1 h-index
4 publications
104 citations
Software (Spain)
Tres Cantos, Spain
1 h-index
3 publications
87 citations
Imam Abdulrahman Bin Faisal University
Dammam, Saudi Arabia
1 h-index
3 publications
177 citations
University of South Florida
Tampa, United States
1 h-index
3 publications
111 citations
Swiss Distance University of Applied Sciences
Brig, Switzerland
1 h-index
2 publications
52 citations
Hamdan Bin Mohammed Smart University
Dubai, United Arab Emirates
1 h-index
1 publications
21 citations
Higher Colleges of Technology
Abu Dhabi, United Arab Emirates
1 h-index
1 publications
21 citations
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1 publications · 37 citations
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1 publications · 21 citations
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1 publications · 29 citations
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1 publications · 21 citations
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2 publications · 71 citations
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