MOOC Online Teaching and Information Entropy Evaluation Model for "China's Tax System" Considering Ideological and Political Elements

Wang, Chenxuan and Liu, Daoke and Yang, Tao (2023) MOOC Online Teaching and Information Entropy Evaluation Model for "China's Tax System" Considering Ideological and Political Elements. In: Proceedings of the 4th International Conference on Education, Knowledge and Information Management, ICEKIM 2023, May 26–28, 2023, Nanjing, China.

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Abstract

This paper studies the MOOC online teaching of "China's Tax System" considering the ideological and political elements, and constructs the MOOC online teaching eval-uation model of "China's Tax System" based on information entropy. Firstly, the arti-cle analyses the necessity of incorporating ideolo

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 16:41
Last Modified: 17 Apr 2026 02:03
URI: http://eprints.eai.eu/id/eprint/44901

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