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Teaching quality monitoring and evaluation using 6G internet of things communication and data mining

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Abstract

The purpose is to improve the monitoring and evaluation of the teaching quality of higher education based on the 6G IoT (Internet of Things) communication, and study the application of data mining technology in the management of teaching systems. First, a series of methods and the theoretical basis of IoT communication and data mining technology are displayed, and the data of higher education and teaching quality are collected, sorted, processed, and analyzed. Second, combined with the relevant data and survey results, the problems existing in the current teaching quality evaluation system in colleges and universities are explored, and the corresponding solutions are put forward. Finally, an experiment is carried out, and Shaanxi University of science and technology is taken as the research object to study the teaching quality evaluation system based on data mining. The results show that the embedded system in 6G IoT can transmit the data collected by the sensor layer to the network layer, realize the docking interaction between the sensor and the Internet, and accurately record students' learning behaviors. The application of data mining to the data analysis can evaluate students' learning status and teaching quality clearly and manage classroom resources. Therefore, IoT is combined with data mining technology to monitor and evaluate the teaching quality in colleges and universities.

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Acknowledgements

The authors acknowledge the help from the university colleagues.

Funding

This work was supported by 2020 Teaching Research and Reform Project of Hubei University of Automotive Technology (No.JY2020036).

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All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.

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Correspondence to Huan Wang.

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Wang, H. Teaching quality monitoring and evaluation using 6G internet of things communication and data mining. Int J Syst Assur Eng Manag 14, 120–127 (2023). https://doi.org/10.1007/s13198-021-01206-8

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