ArticleFrontiers in psychology2025
Engagement modes and attitude polarization toward AI: the role of cognitive load and reliability among Chinese undergraduates.
Article in Frontiers in psychology, 2025. 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 experimental study investigates how engagement modes with AI-related information-structured courses, group discussions, and self-directed research-influence attitude polarization and policy preferences among 132 Chinese undergraduates at a northern Chinese university. Methods: Participants were randomly assigned to conditions over a six-week intervention, with cognitive load and perceived reliability assessed as key mechanisms. Methods: Participants were randomly assigned to conditions over a six-week intervention, with cognitive load and perceived reliability assessed as key mechanisms. Results: Hierarchical regression revealed structured courses, marked by high cognitive load and reliability, significantly reduced polarization ( Discussion: This study suggests structured, reliable, cognitively demanding interventions mitigate polarization, offering theoretical insights into attitude formation and practical guidance for AI education and policy design.
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