Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023)

Research on the Evaluation Model of the Effectiveness of Teaching Civics Based on AutoEncoder

Authors
Yuncong Zeng1, *, Yifan Han2
1School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
2School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
*Corresponding author. Email: life_zengyc@uestc.edu.cn
Corresponding Author
Yuncong Zeng
Available Online 4 September 2023.
DOI
10.2991/978-94-6463-230-9_163How to use a DOI?
Keywords
Civics; AE_MLP; GLM; Encoding; Decoding
Abstract

The comprehensive evaluation of big data on teaching effectiveness of Civics courses in colleges and universities is a powerful manifestation of the networked, digital and interactive teaching of Civics courses. This paper uses expert analysis method to model and analyze 500 Civics courses in 60 universities. Through the encoding and decoding process of self-encoder, 42 indicators of 500 Civics courses are analyzed, and then input into a multi-layer perceptron model to fit and train different course grades to get the final model evaluation prediction. Finally, AE_MLP is compared with PCA_MLP, GLM and AHP algorithms to verify that the AE_MLP algorithm used in this paper has the minimum error effect. The current recognition error of the model is only 0.1457, which is 46.34% more accurate compared to the traditional GLM algorithm, and can to a certain extent assist ideological and political educators in making certain decisions on the effectiveness of teaching Civics classes.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
4 September 2023
ISBN
978-94-6463-230-9
ISSN
2667-128X
DOI
10.2991/978-94-6463-230-9_163How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Yuncong Zeng
AU  - Yifan Han
PY  - 2023
DA  - 2023/09/04
TI  - Research on the Evaluation Model of the Effectiveness of Teaching Civics Based on AutoEncoder
BT  - Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023)
PB  - Atlantis Press
SP  - 1350
EP  - 1359
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-230-9_163
DO  - 10.2991/978-94-6463-230-9_163
ID  - Zeng2023
ER  -