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Published in:
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2021 | OriginalPaper | Chapter

Micro Teaching Online System Based on Teaching Information

Author : Weiwei Zhang

Published in: Big Data Analytics for Cyber-Physical System in Smart City

Publisher: Springer Singapore

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Abstract

With the development of computer network technology and high-quality course recording and playing technology, micro teaching system is also developing in the direction of digitalization, intelligence and networking. On the basis of analyzing the new functions and characteristics of digital microteaching system, this paper puts forward a different strategy from the previous improved algorithm, that is, introducing clustering analysis in the pre-processing stage, so as to improve the association rule algorithm and realize the combination of the two algorithms.

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previous chapter Application of Multimedia Education System Under Clustering Algorithm in Value Orientation of College Students
next chapter The Development and Application of Artificial Intelligence Based on Computer Network Technology in the Background of Big Data
Literature
1.
Zhou, J., Zhou, Y.: Investigation and reflection on microteaching and training. Educ. Inf. (19) (2006)
2.
Fan, X., Xu, Z.: Analysis of microteaching mode for normal students. J. Tonghua Normal Univ. (2) (2006)
3.
Lu, F.: Microteaching and training of teaching skills for normal students. J. Shaoxing Univ. Arts Sci. (Educ. Ed.) (2) (2007)
4.
Haibin, L.: Practical Research on the Evaluation of Teachers’ Teaching Quality Based on Campus Network. Shandong Normal University, Jinan (2006)
5.
Song, L.: Subject competition resource base system based on Collaborative Learning. China Educ. Inf. (20) (2011)
6.
Zhou, J., Fang, D.: Design of microteaching environment based on internet. Mod. Educ. Technol. (1) (2007)
Metadata
Title
Micro Teaching Online System Based on Teaching Information
Author
Weiwei Zhang
Copyright Year
2021
Publisher
Springer Singapore
Book
Big Data Analytics for Cyber-Physical System in Smart City

Print ISBN: 978-981-334-573-7

Electronic ISBN: 978-981-334-572-0

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-33-4572-0_216

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