Big Data-Based Evaluation of Higher Education: Model Construction and Practice Path

Abstract

After the Overall Plan for Deepening the Reform of Education Evaluation in the New Era has been released for over two years, the reform of education evaluation has achieved a good start and important phased outcomes. Promoting the digital transformation of education evaluation and developing Big Data-based education evaluation are the main measures of current evaluation reform. Based on the case study of the Minzu University of China, this paper systematically sorts out the relevant research, constructs the factor model and process model of Big Data-based education evaluation from the perspectives of factors and process of evaluation, puts forward the application idea of Big Data-based education evaluation from the perspectives of full business, full process and full factors, and puts forward the practical path of Big Data-based education evaluation from the aspects of application traction, teacher training and safe operation.

Graphical abstract

Keywords

education evaluation / Big Data / evaluation model / evaluation system / practical path

References

[1] Central Committee of the Communist Party of China, & China’s State Council. (2020). Overall plan for deepening the reform of education evaluation in the new era. (in Chinese).

[2] LiJ., &WuS.. (2022). Empowering smart campus to run schools and upgrading quality. Ethnic Education of China, (5), 4–6. (in Chinese).

[3] LiuB., Yuan, T., Ji, Y., Liu, B., &LiL.. (2021). Intelligent technology enabling education evaluation: Connotation, overall framework, and practice path. China Educational Technology, (8), 16–24. (in Chinese).

[4] Qiu. J., Feng, L., & Shu, F. (2021). An analysis of the status quo of international higher education evaluation research under the Big Data environment in the past ten years: Journal-based text mining. Journal of Modern Information, 41(9), 4–11. (in Chinese).

[5] SongN., Zheng, Z., &ZhouY.. (2021). On the reform of basic education evaluation in the new era from the perspective of Big Data. China Educational Technology, (2), 1–7. (in Chinese).

[6] TianW., Yang, L., Xin, T., &ZhangS.. (2022). Technology-enabled monitoring and evaluation of education: State of the art and prospects. Chinese Journal of Distance Education, 42(1), 1–11. (in Chinese).

[7] ZhengY., &LiuH.. (2015). Path analysis of the application of Big Data for education evaluation in the united states. China Educational Technology, (7), 25–31. (in Chinese).

[8] ZhuC., &YanG.. (2018). Modernization and specialization: The logics of new technology advance in educational evaluation in the era of Big Data. Tsinghua Journal of Education, 39(5), 75–80. (in Chinese).

[9] ZhuD., &MaX.. (2019). New technology promotes specialization: The logic of educational evaluation reform in the era of Big Data. Tsinghua Journal of Education, 40(1), 5–7. (in Chinese).

Acknowledgments

This study was funded by the National Natural Science Foundation of China (Grant No. 72274234) and the 2023 First-Class Undergraduate Course Construction Project of Minzu University of China.

Conflict of Interest

The authors declare that they have no conflict of interest.

RIGHTS & PERMISSIONS

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