Exploring Artificial Intelligence Effects on Learning, Performance, and Self-Reliance

This study examines the impact of effectively utilizing Artificial Intelligence (AI) on the performance of higher education in Bangladesh, addressing the growing need for an evidence-based understanding of AI’s transformative potential in developing nations. The research explores how AI tools influence academic performance, career guidance, learning experiences, and student self-reliance in Bangladeshi universities. A quantitative, descriptive, and cross-sectional research design was used, with a structured questionnaire distributed to 550 respondents from both public and private universities. Data were analyzed using IBM SPSS 25 and SmartPLS 4.0, employing Partial Least Squares Structural Equation Modeling (PLS-SEM) for hypothesis testing and model validation. The results showed that effective use of AI tools significantly improves all four educational outcomes, with the strongest effect on learning experience (β = 0.617), followed by academic performance (β = 0.558), self-reliance (β = 0.517), and career guidance (β = 0.310). The findings confirm that AI enhances educational innovation by fostering personalized learning, boosting academic achievement, and increasing student autonomy. This study adds to existing theory by extending TAM and TPB within an educational context. It offers practical insights for policymakers and educators seeking to promote effective AI integration for sustainable educational outcomes.