Empowering Studentpreneurs: How Artificial Intelligence Literacy Shapes Critical Thinking Skills
Description
AI literacy refers to a comprehensive set of competencies involving the ability to understand, use, identify, evaluate, create, and manage interactions with AI systems in an effective and ethical manner (Ding et al., 2025). Critical thinking, on the other hand, is conceptualized as a mode of thinking that emphasizes analytical processes, evaluative judgment, and logical reasoning to generate rational and measurable decisions (Crilly, 2025).
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This study employs a quantitative cross-sectional survey administered to studentpreneurs in Bandung, Indonesia, over the period from November 2025 to January 2026. The main variables examined are Artificial Intelligence Literacy (AIL) and Studentpreneur Critical Thinking Skills (SCT). Respondents were selected based on specific criteria, namely studentpreneurs who are familiar with digital technologies and experience frequent exposure to AI-related applications. This selection strategy was applied to ensure a more objective assessment of studentpreneurs’ critical thinking abilities. A total of 141 valid responses were obtained, exceeding the minimum required sample size of 89 respondents as calculated using G*Power with a statistical power of 95%, an effect size of f² = 0.15 (medium), a significance level of α = 0.05, and one predictor in the proposed conceptual model. The measurement of AI literacy in this study replicates the instrument developed by Duong (2025) in the article “AI literacy and e-entrepreneurial intention: A serial mediation model of e-entrepreneurial self-efficacy and e-entrepreneurial identity aspiration”, published in the International Journal of Information Management Data Insights, 5, 100349. Meanwhile, Studentpreneur Critical Thinking Skills are measured using an instrument adapted from Firdaus et al. (2025), as reported in “Design of instruments for scientific creative thinking skills and creative thinking digital skills: Rasch models and confirmatory factor analysis”, published in the EURASIA Journal of Mathematics, Science and Technology Education, 21(5), em2632.
Institutions
- Bina Nusantara University