Artificial Intelligence in Education and Its Influence on Student Self Efficacy and Academic Performance

Abstract

Artificial Intelligence (AI) has rapidly advanced in recent years, transforming teaching strategies and learning experiences in educational settings. This study explores students' perceptions of AI in education and examines its impact on their self-efficacy and academic performance. A sample of 1100 students from different universities in Multan, Pakistan, was selected. Well-structured questionnaires, including informed consent, demographic information sheet, General Attitudes Towards Artificial Intelligence Scale, General Self-Efficacy Scale, and Academic Performance Questionnaire was employed for data collection. Data was analyzed using PLS-SEM. This study examines the impact of Artificial Intelligence (AI) on students' self-efficacy and academic performance. Findings reveal significant positive relationships among AI, self-efficacy, and academic achievement (p < 0.05). Structural equation modeling (PLS-SEM) confirms AI's strong influence on self-efficacy (β = 0.660, p < 0.001) and academic performance (β = 0.562, p < 0.001). The model fit indices (SRMR = 0.065, NFI = 0.884) validate its reliability. Results suggest that AI enhances academic success by fostering self-efficacy through personalized learning experiences. This study highlights how AI can be used positively in educational settings. However, further studies should be conducted on how to adapt new technologies more successfully in education.