Enhancing STEM Learning Through AI‐Driven Mind Mapping: A Study on the Educational Impact of Napkin AI on Student Outcomes and Knowledge Retention

ABSTRACT This study examines the impact of Napkin AI, a generative artificial intelligence tool, on student learning outcomes and knowledge retention via creative mind mapping. The research model, which combines the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) with the Information Adoption Model (IAM), comprises six principal independent variables: Social Influence, Learning Support Environment, Ease of Use, Perceived Benefit, Information Quality of Mind Mapping, and Usefulness of Mind Mapping. Mediating variables comprise Behavioral Intention to Use, Actual Use of Mind Mapping, and Cognitive Engagement in Mind Mapping, while Knowledge Retention and Learning Outcome serve as dependent variables. The study employed a quantitative approach with a sample of 570 Vietnamese university students majoring in STEM. Data analysis was conducted using Structural Equation Modeling (SEM) with IBM SPSS 25 and AMOS 24. The model exhibited a satisfactory fit ( χ ²/ df = 1.906, GFI = 0.889, CFI = 0.935, TLI = 0.929, RMSEA = 0.040, PCLOSE = 1.000), with all direct routes being statistically significant ( p < 0.001 to p = 0.037). The findings underscore the significance of user perception and involvement in improving the educational efficacy of AI‐driven mind mapping tools, providing practical implications for technology integration in higher education.