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Community Service Assessment of Demographic Predictors of Undergraduates’ Readiness to Use Artificial Intelligence (AI) Tools for Learning
), Issa Ahmed Idris(2), Ibrahim Mukhtar Adeola(3), Thomas Glory(4), Gbore Oladele Stephen(5),
(1) Veritas University Abuja
(2) University of Ilorin
(3) University of Abuja
(4) University of Technology Minna
(5) Adekunle Ajasin University
Corresponding Author
Abstract
Artificial Intelligence (AI) is central to Education 4.0, yet undergraduates’ readiness to adopt AI tools varies across demographic groups. This study was conducted as a community service initiative to assess demographic factors as predictors of readiness to use AI tools for learning. Using a mixed-method explanatory sequential design, data were collected from 1,065 undergraduates in a quantitative survey and 15 students in qualitative interviews across public universities in North-Central Nigeria. The activity functioned as a service to the academic community by providing evidence-based insights into how gender and area of specialization influence students’ preparedness for AI adoption. Results indicated a significant prediction based on gender, while area of specialization was not a significant predictor. The project demonstrates how community service can extend beyond training to include diagnostic research that informs policy, promotes inclusive readiness, and contributes to sustainable educational development.
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