Open Access Article

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

Authors: Tong Wu; Yaqiang Wang

Addresses: Henan Polytechnic, Zhengzhou, 450000, China ' Henan Polytechnic, Zhengzhou, 450000, China

Abstract: 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.

Keywords: internet of things; IoT; classroom interaction; data-driven; teaching optimisation.

DOI: 10.1504/IJICT.2026.151486

International Journal of Information and Communication Technology, 2026 Vol.27 No.2, pp.41 - 62

Received: 26 Sep 2025
Accepted: 04 Nov 2025

Published online: 02 Feb 2026 *