Abstract
Network teaching is a new modern teaching mode. Network teaching evaluation is a key link in the whole network teaching process and an effective method to ensure the quality of network teaching. Therefore, this paper puts forward the online course teaching quality evaluation method under the Internet of things technology. By analyzing the influencing factors of online course teaching quality, it constructs the online course teaching quality evaluation system, determines the online classroom teaching evaluation index of colleges and universities, and calculates the final teaching quality evaluation result according to the evaluation proportion by using the Internet of things technology. The simulation results show that the proposed method is effective in online course teaching quality evaluation.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Shen, W., Zhang, S.: Emotional tendency dictionary construction for college teaching evaluation. Int. J. Emerg. Technol. Learn. (iJET) 13(11), 117 (2018)
Zhang, X., Shi, W.: Research about the university teaching performance evaluation under the data envelopment method. Cogn. Syst. Res. 56(AUG.), 108–115 (2019)
Ibrahim, Y.E.: Integrated evaluation of teaching effectiveness: a case study. Int. J. Eng. Educ. 34(6), 1822–1828 (2018)
Qu, F.L., Chen, L., Jiang, Y.C.: The research and application of intelligence evaluation system in colleges and universities. J. Phys.: Conf. Ser. 1693(1), 012027 (2020). (7pp)
Weltman, H.R., Timchenko, V., Sofios, H.E., et al.: Evaluation of an adaptive tutorial supporting the teaching of mathematics. Eur. J. Eng. Educ. 44(5), 787–804 (2019)
He, Y., Li, T.: A lightweight CNN model and its application in intelligent practical teaching evaluation. MATEC Web Conf. 309(4), 05016 (2020)
Jia, S., Pang, Y.: Teaching quality evaluation and scheme prediction model based on improved decision tree algorithm. Int. J. Emerg. Technol. Learn. (iJET) 13(10), 146 (2018)
Liu, S., Bai, W., Zeng, N., et al.: A fast fractal based compression for MRI images. IEEE Access 7, 62412–62420 (2019)
Liu, S., Li, Z., Zhang, Y., et al.: Introduction of key problems in long-distance learning and training. Mob. Netw. Appl. 24(1), 1–4 (2019)
Liu, S., Glowatz, M., Zappatore, M., et al. (eds.): e-Learning, e-Education, and Online Training, pp. 1–374. Springer, Heidelberg (2018)
Guo, M., Xiong, X., Feng, G., et al.: A research on behavioral deviation and reform program of teaching quality evaluation in experiment and training of colleges. Lab. Res. Explor. 038(005), 229–232, 274 (2019)
Zhao, H.: Research on the evaluation method of teaching quality of Chinese as a foreign language based on immersion teaching. Manage. Sci. Res.: Chin. Engl. Version 1, 8–10 (2019)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Tao, G., He, J., Ji, Rj. (2021). Research on Online Course Teaching Quality Evaluation Method Based on Internet of Things Technology. In: Fu, W., Liu, S., Dai, J. (eds) e-Learning, e-Education, and Online Training. eLEOT 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 390. Springer, Cham. https://doi.org/10.1007/978-3-030-84386-1_34
Download citation
DOI: https://doi.org/10.1007/978-3-030-84386-1_34
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-84385-4
Online ISBN: 978-3-030-84386-1
eBook Packages: Computer ScienceComputer Science (R0)