Self-Regulated Learning, AI Literacy and Entrepreneurial Intention among Nigerian Postgraduate Students: The Role of Educational Context

Objective: This study sought to examine the relationships between self-regulated learning, AI literacy, and entrepreneurial intention among Nigerian postgraduate students studying in Nigeria and Iran. Method: A cross-sectional survey design was employed, involving ۵۳۰ postgraduate students selected from universities in both countries. Data were collected using Liñán and Chen's Entrepreneurial Intention Questionnaire (EIQ) (۲۰۰۹), Barnard et al.'s Online Self-regulated Learning Questionnaire (OSLQ) (۲۰۰۹), and Wang et al.'s (۲۰۲۳) Artificial Intelligence Literacy Scale (AILS). Data were analyzed using descriptive statistics, multivariate analysis of variance, and hierarchical multiple regression. Results: The findings revealed that both self-regulated learning and AI literacy significantly and positively predicted entrepreneurial intention, with self-regulated learning demonstrating the stronger unique contribution. In addition, Nigerian postgraduate students studying in Iran reported significantly higher levels of entrepreneurial intention, self-regulated learning, and AI literacy than those studying in Nigeria. These findings highlight the importance of learning-related competencies in fostering entrepreneurial intention and suggest that differences in educational contexts were associated with variations in entrepreneurial intention, self-regulated learning, and AI literacy. Conclusion: The study establishes self-regulated learning and AI literacy as key digital human capital drivers of entrepreneurial intention, with implications for context-sensitive curriculum design.

کلیدواژه ها:

Artificial Intelligence literacy ، self-regulated learning ، Entrepreneurial intention ، Higher education