Ethical considerations of AI-driven education based on student’s AI use in selected Nigerian universities
Bibliographic Data
| ID | 22436616 |
|---|---|
| Authors | Patience Ebekeyi Bakre (University of Abuja, corresponding author), Fa’iza Tukur-Bello (University of Abuja) |
| Year | 2026 |
| Volume | 5 |
| Issue | 1 |
| Publication date | 2026-05-13 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Discover Education (JOURNAL) |
| Journal identifiers | ISSN: 2731-5525 • E-ISSN: 2731-5525 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s44217-026-01545-3 |
| OpenAlex | W7160991452 |
| Language | EN |
| References cited | 33 |
Artificial Intelligence (AI) has realized many potentials in education. Even with these advantages, concerns regarding data privacy, accessibility, ethics, bias, critical thinking, and student-teacher interaction as well as academic integrity exist. Hence, this empirical research evaluates the role of AI in current educational practice and highlights students’ ethical concerns regarding AI-driven education based on their use of AI in selected Nigerian universities. The study employed a quantitative cross-sectional approach. A total of 535 responses were collected via an online survey from students in eight participating universities across different states in Nigeria. The result was evaluated using SPSS and PLS-SEM. The study findings show there is an interdependent and complex relationship between students’ motivation (β = 0.415, p < 0.01), the challenges they encounter using AI technologies (β = 0.142, p < 0.01), their use of AI (β = 0.568, p < 0.01), and their ethical awareness (β = 0.183, p < 0.01) when it comes to AI in education. On the contrary, no significant correlation exists between AI usage and ethical considerations (β = 0.099). Therefore, it is crucial that Nigerian universities implement formal AI policies and guidelines to control the use of AI and provide practical references for instructors, legislators, and EdTech designers.
Empirical research · Ethical decision · Ethical issues · Higher education · Interdependence · AI in Service Interactions · Artificial Intelligence in Healthcare and Education · Ethics and Social Impacts of AI
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| Citation velocity | historical |
|---|---|
| Highly cited | No |