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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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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Quantifying teachers’ readiness for artificial intelligence adoption in education: a mathematical modeling perspective

2025Scientific ReportsJournalOpen access

10.1038/s41598-025-08018-x Full text3 citations

Authors

6 authors across 5 institutions in 4 countries.

Musa Adekunle AyanwaleFirst authorCorresponding
- University of South Africa (ZA)
Kabir Oluwatobi Idowu
Owolabi Paul Adelana
Sideeqoh Oluwaseun Shosanya
- Tai Solarin University of Education (NG)
Oluwanife Segun Falebita
- University of Zululand (ZA)
Kayode A. AdewaleSenior author
- Tai Solarin University of Education (NG)

Fields

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

Technology Adoption and User Behaviourlevel 3 · 0.97
Online Learning and Analyticslevel 3 · 0.94

Sources

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

openalexseen September 9, 2026
2025 · Scientific Reports · 3 citations
https://openalex.org/W4412520787

Quantifying teachers’ readiness for artificial intelligence adoption in education: a mathematical modeling perspective · Sankore