Exploring AI-Assisted Teacher Support Mechanism for University Students' Learning Engagement
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The application of artificial intelligence in the field of education has been expanding rapidly. AI-assisted systems can provide educators with enhanced teaching support and resources, leading to increased attention on the relationship between teacher support and student learning engagement. Academic research indicates that student learning engagement serves as a crucial indicator for evaluating educational quality, exerting positive effects on academic performance and personal development. Therefore, exploring the underlying principles and external conditions that foster student learning engagement becomes paramount. Student learning engagement represents a dynamic state, influenced by the support provided by educators within the learning environment. Despite the acknowledged significance of teacher support, the existing literature still lacks an in-depth understanding of the mechanisms through which teacher support impacts learning engagement. Hence, this study approaches the subject from the perspective of AI-assisted systems, aiming to investigate the influence of teacher support on university students' learning engagement.
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