Proceedings of the 3rd International Conference on Internet Technology and Educational Informatization, ITEI 2023, November 24–26, 2023, Zhengzhou, China

Research Article

Application Scenarios and Dynamic Mechanism of Data Based Decision Making

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  • @INPROCEEDINGS{10.4108/eai.24-11-2023.2343658,
        author={Xiaowen  Li and Weijian  Ye},
        title={Application Scenarios and Dynamic Mechanism of Data Based Decision Making},
        proceedings={Proceedings of the 3rd International Conference on Internet Technology and Educational Informatization, ITEI 2023, November 24--26, 2023, Zhengzhou, China},
        publisher={EAI},
        proceedings_a={ITEI},
        year={2024},
        month={4},
        keywords={data based decision making; value advantage; application scenarios; dynamic mechanism},
        doi={10.4108/eai.24-11-2023.2343658}
    }
    
  • Xiaowen Li
    Weijian Ye
    Year: 2024
    Application Scenarios and Dynamic Mechanism of Data Based Decision Making
    ITEI
    EAI
    DOI: 10.4108/eai.24-11-2023.2343658
Xiaowen Li1, Weijian Ye1,*
  • 1: Ningbo University Of Finance & Economic
*Contact email: Yeweijian@nbufe.edu.cn

Abstract

Adequate information is crucial for decision-making. In the digital age, the digital transformation of education is reshaping the daily practice and meaning generation in the field of education and teaching. The value advantage of "data-driven" lies more in making decisions more comprehensive, refined, and efficient, promoting teachers to break away from the "experience based" value judgment model in teaching decisions, thereby assisting in continuous improvement of teaching and learning, and promoting the achievement of high-quality teaching goals in the new era. The effective implementation of DBDM requires improving teacher data literacy, strengthening research on data-driven decision-making models, promoting multi-source heterogeneous data fusion applications based on scenario requirements, and creating a culture of data usage.