Abstract

Educational big data can offer descriptive analysis and normative prediction of the subject behavior in educational activities by quantifying and calculating. However, educational big data technology not only transforms man, the subject of education, into readable data and information, but also constantly guides, directs, and promotes human behavior and activity. The core issue here is that the autonomy of human beings gives way to the technical system itself, that is, the main body of technical behavior has undergone a substantial shift. The underlying cause is the system of educational big data itself that pursues certainty obscures human beings, which leads to the concealment of the subject and triggers the objectification of the subject, the degeneration of inter-subjectivity communication, the absence of responsibility, and the paradox of subjectivity. There are three main strategies for solving these problems: improving the subject's data literacy, enhancing the transparency of the algorithm, and ensuring situational integrity of data and algorithmic decisions.

Key Words

Computing and enhancement; Hiding and reconstructing; Autonomy

Citation: Liu, P., Chi, Z. 'Philosophical Reflection on the Hiding and Reconstructing of the Subject in the View of Big Data: Taking Educational Big Data as an Example' [J]. Journal of Dialectics of Nature, 2018, 40(11): 1-10.

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