This study examines how learning input quality shapes students’ trust, perceived learning value, and post-exposure behavioural intentions, and whether AI-supported instructional content contributes to conceptual learning. Grounded in the Technology Acceptance Model, trust theory, and the Cognitive Theory of Multimedia Learning, the study proposes the Learning Input Quality, Belief, User Learning Experience, and Continuance (LBUC) model. Data were collected from 320 university students in Türkiye via an online survey. To evaluate the proposed framework in an authentic instructional setting, participants watched NotebookLM-generated instructional videos in Turkish and completed pre-test and post-test knowledge measures together with Likert-type scales assessing Audio and Narration Quality, Perceived Visual Design Quality, AI Trust and Persuasion, Instructional Design Effectiveness, Perceived Learning Value, Using Intention, and Recommendation Intention. Learning gains were assessed using paired-samples t-tests, and the proposed LBUC model was evaluated using Partial Least Squares Structural Equation Modelling. The findings showed a significant within-group increase in post-test scores, suggesting short-term conceptual gains after exposure to the videos. In the structural model, Audio and Narration Quality strongly predicted AI Trust and Persuasion, whereas Perceived Visual Design Quality significantly predicted Instructional Design Effectiveness but did not directly predict trust. Both AI Trust and Persuasion and Instructional Design Effectiveness positively influenced Perceived Learning Value, which in turn strongly predicted Using Intention and Recommendation Intention. The results suggest that students’ immediate post-exposure Using Intention and Recommendation Intention are associated less with visual appeal alone than with pedagogically coherent narration, AI Trust and Persuasion, and Perceived Learning Value in the context of NotebookLM-generated instructional videos.
Çallı et al. (Tue,) studied this question.