Design and Application of Experimental Teaching System Driven by Big Data Technology in Economics and Management Majors
Qiang Liu, Liwen Zeng, Guangdong University of Finance & Economics
iJET Volume 15, Number 11, ISSN 1863-0383 Publisher: International Journal of Emerging Technology in Learning, Kassel, Germany
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.
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), 56-66. Kassel, Germany: International Journal of Emerging Technology in Learning.