ArticleFrontiers in psychology2026
Social influence and academic performance: a serial mediation model in AI-enhanced learning.
Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Introduction: This study examines how social influence affects the academic performance of Saudi university students, focusing on the mediating roles of AI self-efficacy, smart learning, academic stress, and mental wellbeing. The study is grounded in Social Learning Theory. Methods: A quantitative research design was employed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Data were collected from 345 university students enrolled at three public universities in Saudi Arabia. A theoretical model based on Social Learning Theory was developed to examine the relationships among social influence, AI self-efficacy, smart learning, academic stress, mental wellbeing, and academic performance. Results: The findings supported all 10 proposed hypotheses. Social influence had a significant direct effect on academic performance ( Discussion: The findings show that social influence affects academic performance through multiple psychological and learning-related pathways. AI self-efficacy emerged as the strongest predictor, highlighting the importance of students' confidence in using AI for learning. Overall, the study extends Social Learning Theory to AI-supported higher education and emphasizes the importance of AI self-efficacy, smart learning, and psychological wellbeing in promoting academic success among Saudi university students.
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