Data based decision making: value exertion and scenario conception

Yuanyuan Xu; Xiaowen Li

doi:10.1117/12.2655906

12 January 2023 Data based decision making: value exertion and scenario conception

Yuanyuan Xu, Xiaowen Li

Proceedings Volume 12509, Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022); 125091A (2023) https://doi.org/10.1117/12.2655906
Event: Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022), 2022, Guangzhou, China

Abstract

The digital transformation of education reshapes the daily practice and meaning generation in the field of education and teaching, promotes teachers' teaching decision-making out of the "experience-based" value judgment mode, and combines the value advantages of "Data driven", so as to make the decision-making more sufficient, refined and efficient. The value of data based decision making1 (DBDM) in the digital age is more to help the continuous improvement of teaching and learning, and help to promote the realization of high-quality teaching objectives in the new era. To promote the implementation of DBDM, we need to improve teachers' data literacy, strengthen the research of data based decision making mode, promote the application of multi-source heterogeneous data fusion based on scenario requirements, and create a culture of data use.

Citation Download Citation

Yuanyuan Xu and Xiaowen Li "Data based decision making: value exertion and scenario conception", Proc. SPIE 12509, Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022), 125091A (12 January 2023); https://doi.org/10.1117/12.2655906

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