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.

目的是提高基于6G IoT（物联网）通信的高等教育教学质量监测与评价，研究数据挖掘技术在教学系统管理中的应用。首先，展示物联网通信和数据挖掘技术的一系列方法和理论基础，对高等教育和教学质量的数据进行收集、整理、处理和分析。其次，结合相关数据和调查结果，探讨了现行高校教学质量评价体系存在的问题，并提出了相应的解决办法。最后，进行了一个实验，以陕西科技大学为研究对象，研究基于数据挖掘的教学质量评价体系。结果表明，6G物联网嵌入式系统可以将传感器层采集到的数据传输到网络层，实现传感器与互联网的对接交互，准确记录学生的学习行为。将数据挖掘应用于数据分析，可以清晰地评估学生的学习状况和教学质量，管理课堂资源。因此，物联网结合数据挖掘技术对高校教学质量进行监测和评估。实现传感器与互联网的对接交互，准确记录学生的学习行为。将数据挖掘应用于数据分析，可以清晰地评估学生的学习状况和教学质量，管理课堂资源。因此，物联网结合数据挖掘技术对高校教学质量进行监测和评估。实现传感器与互联网的对接交互，准确记录学生的学习行为。将数据挖掘应用于数据分析，可以清晰地评估学生的学习状况和教学质量，管理课堂资源。因此，物联网结合数据挖掘技术对高校教学质量进行监测和评估。