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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Predict Student Dropout Rates in Higher Education Using Academic and Non-Academic Factors: A Machine Learning Approach · Sankore

Predict Student Dropout Rates in Higher Education Using Academic and Non-Academic Factors: A Machine Learning Approach

2026International Journal of Computer ApplicationsJournalOpen access

10.5120/ijca2026926382 Full text0 citations

Authors

5 authors across 3 institutions in 2 countries.

Stephen Kofi DotseFirst author
- University of Professional Studies (GH)
Samuel Yao Sebuabe
- Valley View University (GH)
Harriet K.O. Lamptey
- University of Professional Studies (GH)
Frank Kataka Banaseka
- University of Professional Studies (GH)
as printed: Frank Banaseka
Kwame Assa-AgyeiSenior author

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Online Learning and Analyticslevel 3 · 0.88
Higher Education Research Studieslevel 3 · 0.02
Intelligent Tutoring Systems and Adaptive Learninglevel 3 · 0.01

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 5, 2026
2026 · International Journal of Computer Applications · 0 citations
https://openalex.org/W7130852863