Monitoring and optimisation of interactive classroom teaching effects empowered by the internet of things

Based on internet of things (IoT) technology, this study constructed a monitoring and optimisation model for the interactive effect of classroom teaching.Centring on indicators such as the effective response rate, the level of follow-up inquiries, the ratio of teacher-student interaction pairs, and the number of group interaction rounds, a data mapping scheme and evaluation framework were designed.Through an empirical analysis of the classroom data of 162 undergraduate courses in a certain university, it was found that although the interaction frequency was high, the structure was unbalanced and student participation was uneven.After the introduction of the optimisation strategy, all four interaction quality indicators significantly improved, verifying the practical effectiveness of internet of things empowerment in enhancing the depth of classroom interaction and student participation.The research provides feasible paths and evaluation tool support for universities to promote data-driven teaching reform.