The impact of quality of information on classroom engagement with GenAI tools: integrating TAM and SOR framework

This study investigates the role of quality of information (QI) in shaping students' engagement with GenAI, specifically focusing on the Doubao chatbot in undergraduate English learning. Integrating the Technology Acceptance Model (TAM) with the Stimulus-Organism-Response (SOR) framework, the research examines how QI affects students' perceived ease of use (PEU), perceived usefulness (PU), and ultimately their behavioral (BE), cognitive (CE), and emotional engagement (EE) with the tool. Data were collected from 110 undergraduate students. The findings revealed that QI significantly influences both PEU and PU, which subsequently affect students' engagement. Notably, PEU exerted a stronger impact on engagement than PU. While PU drives behavioral engagement, it does not directly influence cognitive or emotional engagement. The results underscore the importance of high-quality, easy-to-use GenAI tools in enhancing student engagement. Developers and educators are encouraged to prioritize content quality and usability to foster deeper intrinsic motivation and long-term engagement.