Reform and Practice of Data-Driven Blended Teaching:Taking Automatic Control Theory Course for Example

Zhao, Shengping and Su, Yali and Yin, Xiuxian and Li, Jingrui and Zhang, Pingzhen (2024) Reform and Practice of Data-Driven Blended Teaching:Taking Automatic Control Theory Course for Example. In: Proceedings of the 3rd International Conference on Internet Technology and Educational Informatization, ITEI 2023, November 24–26, 2023, Zhengzhou, China.

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Abstract

In the context of the construction of new engineering disciplines, blended learning serves as an important breakthrough and reform direction for enhancing the integration, practicality, and advanced nature of courses. However, due to the differences in institutional and student contexts, local under

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 17:26
Last Modified: 17 Apr 2026 00:05
URI: http://eprints.eai.eu/id/eprint/48319

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