Understanding the adoption of educational AI tools in Sub-Saharan African higher education: a theory of planned behaviour-based analysis
Ishfaq Ahmad Malik; Seid Ahmyaw Adem; Adil Rasool · 2025 · Cogent Education
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Based on the Theory of Planned Behaviour (TPB), this study examines the interplay between perceptions of educational artificial intelligence (EdAI) tools—specifically their perceived benefits, hedonic motivation, weaknesses, and risks—interact with TPB constructs (attitude, subjective norms, and perceived behavioural control) in shaping adoption intentions. Using a quantitative design, data were collected through an online survey of 344 students from higher education institutions (HEIs) in Sub-Saharan Africa (SSA). Partial Least Squares Structural Equation Modelling (PLS-SEM) was employed to t
Abstract by Ishfaq Ahmad Malik; Seid Ahmyaw Adem; Adil Rasool, Cogent Education (2025) — licensed CC BY 4.0.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
Enhancing mathematical communication and Islamic values in Islamic and regular schools through interactive worksheets
Negative / Null Result ReportPengaruh Metode Pembelajaran dan Tipe Kepribadian Terhadap Hasil Belajar Bahasa Arab (Studi Eksperimen Pada MAN 1 Semarang)
Negative / Null Result ReportLearning styles vs. virtual education preferences: a cross-sectional study on medical sciences e-students
Negative / Null Result ReportTHE EFFECTIVENESS OF LANGUAGE PROGRAM TOWARDS STUDENTS SPEAKING SKILL IN UNIVERSITY
Negative / Null Result ReportExamination of medical students’ opinions on multimedia learning materials according to social cues: focusing on sound principles
Negative / Null Result ReportImmersive poetry learning: a field study with middle school students
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: DOAJ · DOI 10.1080/2331186x.2025.2546126