Abstract
The purpose of this paper is to study the construction and implementation of an information platform for classroom teaching quality(TQ) evaluation and monitoring based on artificial intelligence(AI) technology. In this paper, the classroom teaching of teachers is taken as the object of TQ evaluation and control for in-depth and detailed research, to find a more reasonable TQ evaluation method, so as to provide accurate feedback information for the improvement of TQ. In this paper, 18 teachers were taken as test objects, and a team of 5 experts made an objective evaluation of each teacher's TQ index at all levels, and the evaluation score was taken as the original data. Through the simulation experiment of the data source, the error of training the TQ evaluation index by using BP neural network is not more than 0.002.
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Acknowledgement
Information Assurance Scientific Research Project of Shaanxi Provincial Department of Education in 2020: Research and Practice of Education Statistics Platform Construction Based on Teaching Quality Assurance Construction System, item No. 20JX002.
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Liu, G. (2021). Information Platform for Classroom Teaching Quality Evaluation and Monitoring Based on Artificial Intelligence Technology. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2020. Advances in Intelligent Systems and Computing, vol 1303. Springer, Singapore. https://doi.org/10.1007/978-981-33-4572-0_22
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DOI: https://doi.org/10.1007/978-981-33-4572-0_22
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