Design and Application of Experimental Teaching System Driven by Big Data Technology in Economics and Management Majors

Authors

  • Qiang Liu Guangdong University of Finance & Economics
  • Liwen Zeng Guangdong University of Finance & Economics

DOI:

https://doi.org/10.3991/ijet.v15i11.12997

Keywords:

Big data technology, Experimental teaching, Economics and management

Abstract


This paper focuses on several issues resulting from the current widespread application of big data technology in teaching: the difficulties of managing and storing experimental data; the problem of data loss; the difficulty in quantifying teaching processes and feedback; and the lack of any basis for experimental teaching with regards to curriculum design. In response, this paper proposes a comprehensive system for experimental teaching and analyzes the key points of that system. It also expounds the functional planning and the technical routes of the system. This paper outlines a practical path to help the development of talent, teaching, and research by developing an experimental system for teaching economics and management in the context of big data.

Author Biographies

Qiang Liu, Guangdong University of Finance & Economics

Economics and Management Experimental Teaching Center

Liwen Zeng, Guangdong University of Finance & Economics

Human Resource Department

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Published

2020-06-12

How to Cite

Liu, Q., & Zeng, L. (2020). Design and Application of Experimental Teaching System Driven by Big Data Technology in Economics and Management Majors. International Journal of Emerging Technologies in Learning (iJET), 15(11), pp. 56–66. https://doi.org/10.3991/ijet.v15i11.12997

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Section

Papers