Research on Data-driven Feedback Teaching Service

摘要

In recent years, most of the teaching service models in universities are linear in the exploration of big data in education, and people who use data are mainly researchers and policy makers, the process of data generation is static. Aiming at this problem, this paper proposes a data-driven feedback teaching service model. The model is characterized by: 1) the service mode is closed and nonlinearity; 2) the process of data generation is cyclic and dynamic; 3) the results of the data analysis are fed back to the participants in the teaching activities, intervening the process of generating data effectively. Finally, two examples are given to illustrate the effectiveness of the proposed model.