Educational Data Mining Explainability
Educational Data Mining Explainability is a scholarly framework within learning analytics that enables the interpretation of patterns and models derived from educational data by making the underlying data-driven inferences transparent, traceable, and comprehensible to stakeholders in educational settings.
9
Publications
610
Citations
21
Authors
9
Institutions
Publications per year
2017–2026
7
Variants
Edm Explainability
9
Artificial Intelligent in Education
Oussama Hamal, Nour-eddine El Faddouli, Moulay Hachem Alaoui Harouni et al. · Sustainability · 2022 · 96 citations · Full text
Education, Educational Psychology, Educational Technology +14
1–5 of 9
21
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9
Himachal Pradesh University
Shimla, India
1 h-index
2 publications
312 citations
Imam Abdulrahman Bin Faisal University
Dammam, Saudi Arabia
1 h-index
3 publications
177 citations

University of Huddersfield
Huddersfield, United Kingdom
1 h-index
1 publications
96 citations

Mohammed V University
Rabat, Morocco
1 h-index
2 publications
192 citations
Liverpool John Moores University
Liverpool, United Kingdom
1 h-index
3 publications
123 citations
Université Djilali Bounaama Khemis Miliana
Khemis Miliana, Algeria
1 h-index
2 publications
108 citations
Université Ibn Zohr
Agadir, Morocco
1 h-index
1 publications
96 citations
Virginia Tech
Blacksburg, United States
1 h-index
2 publications
116 citations
1–8 of 9
1 publications · 156 citations
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Conference · 1 publications · 102 citations
1
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1 publications · 54 citations
1
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1 publications · 96 citations
1
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Repository · 1 publications · 13 citations
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1–5