Limits of Big Data Application in Education

Tang Hanwei; Zhang Jiangkun

doi:10.16382/j.cnki.1000-5560.2020.10.005

Volume 38 Issue 10

Oct. 2020

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Tang Hanwei, Zhang Jiangkun. Limits of Big Data Application in Education[J]. Journal of East China Normal University (Educational Sciences), 2020, 38(10): 60-68. doi: 10.16382/j.cnki.1000-5560.2020.10.005

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Tang Hanwei, Zhang Jiangkun. Limits of Big Data Application in Education[J]. Journal of East China Normal University (Educational Sciences), 2020, 38(10): 60-68. doi: 10.16382/j.cnki.1000-5560.2020.10.005

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Limits of Big Data Application in Education

doi: 10.16382/j.cnki.1000-5560.2020.10.005

Tang Hanwei¹,
Zhang Jiangkun²

1.
Faculty of Education, East China Normal University, Shanghai 200062, China
2.
Faculty of Education, Beijing Normal University, Beijing 100875, China

Publish Date: 2020-10-20

Abstract

Abstract

The application of big data boosts educational changes with broad prospects, but it is far from being omnipotent, instead it has certain boundaries and limits. It is conducive to the rational application and development of big data in education to attain self-reflections on and insights into the limits of the application of big data in education. Ontological limit, epistemic limit, value limit and ethical limit constitute the basic limits of application of big data in education. The ontological limit means that big data in education cannot be equated with a true and complete educational world in an ontological sense. The epistemic limit refers to the flaw of big data as a new angle of understanding education. The value limit refers to the impossibility of the instrumental value of big data in education to cover the cultivation value of education. Finally, the ethical limit means that the application of big data to education is inevitably bound by ethics, in addition to being controlled by the logic of technology.
- big data,
- education application,
- limitation

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References(27)

References

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