Context-Aware Mobile HCI

This study first addresses the practical challenges faced by intelligent teaching platforms in supporting clinical teachers' integration of teaching and practice—such as mismatched task recommendations, fragile feedback loops, and the phenomenon of “high activity but low improvement”—and then proposes a multi-loop, closed-loop integration framework grounded in context-aware mobile human–computer interaction (HCI). A comparative study was conducted on 125 clinical teachers (traditional, hybrid, and AI-enhanced groups) using platform logs, questionnaires, and case analyses. Results indicate that the framework significantly shortens feedback cycles, enhances teachers' behavioral activity and competency improvement, with the AI-enhanced path achieving the optimal effect. By integrating clinical context, individual adaptation, and real-time feedback, the mechanism effectively bridges the gap between platform intervention and practical teaching, providing empirical support for the innovation of clinical teachers' intelligent training mechanisms.