Portrait-Based Academic Performance Evaluation of College Students from the Perspective of Big Data

Authors

  • Yusong Cao School of Food and Pharmacy, Xuchang University, Xuchang 461000, China

DOI:

https://doi.org/10.3991/ijet.v16i04.20475

Abstract


With the advent of the big data era, significant changes have taken place in every aspect of education. To effectively evaluate the academic performance of college students, this paper firstly establishes a scientific evaluation index system for student portrait. Taking the course Object-Oriented Programming as an example, the authors collected various data on the academic performance of college students. The collected data were normalized, and the weight of each evaluation index was determined through analytic hierarchy process (AHP). Next, a fuzzy evaluation model was constructed based on big data, and used to assess each dimension of college students’ academic performance. The evaluation reveals the problems of college students in learning and practice, and helps to generate the portrait of each student. The research results promote the realization of personalized education.

Author Biography

Yusong Cao, School of Food and Pharmacy, Xuchang University, Xuchang 461000, China

Yusong Cao, associate professor, School of Food and Pharmacy, Xuchang Univesity, has been engaged in higher education teaching for a long time. She has presided over six teaching reform projects and published more than fifteen papers on education and teaching reform.

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Published

2021-02-26

How to Cite

Cao, Y. (2021). Portrait-Based Academic Performance Evaluation of College Students from the Perspective of Big Data. International Journal of Emerging Technologies in Learning (iJET), 16(04), pp. 95–106. https://doi.org/10.3991/ijet.v16i04.20475

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Section

Papers