Research on Data-driven Feedback Teaching Service

被引：0

作者：

Shu, Jiangbo ^{[1
]}

Wang, Li ^{[1
]}

Wang, Xu ^{[1
]}

Zhi, Min ^{[1
]}

Cao, Taihe ^{[1
]}

Liu, Hai ^{[1
]}

机构：

[1] Cent China Normal Univ, Natl Engn Ctr E Learning, Wuhan, Hubei, Peoples R China

来源：

PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES ENHANCING EDUCATION (ICAT2E 2017) | 2017年 / 68卷

基金：

中国国家自然科学基金;

关键词：

Data-driven; Feedback; Big data; Teaching services;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

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.

引用

页码：97 / 102

页数：6

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