How is data-driven precision teaching possible? From the perspective of cultivating teacher’s data wisdom

doi:10.16382/j.cnki.1000-5560.2021.08.004

Abstract

Abstract:

The concept of precision teaching has become an international consensus, and wisdom education environment generating huge amounts of multimodal learning also make data-driven precision teaching paradigm possible. However, there are still many challenges in the practice of using data to solve complex teaching problem, the breakthrough is to cultivate teachers’ data wisdom. This article answers three questions from the perspective of teachers’ data wisdom: what is it, how to cultivate it, and what are the influencing factors. First of all, data wisdom is the integration of teaching practice experience, data analysis skills and learning sciences. Its connotation lies in the progressive transformation from data to wisdom. On the basis of clarifying that the realization path of data wisdom is to master the cycle of data inquiry, this paper answers the question of “what” to cultivate, and constructs the cultivating path from pre-service to in-service. In the pre-service stage, we should weaken the discipline boundaries, reform the curriculum system, and create a “reality” learning environment. In the in-service stage, we should innovate training pattern, establish data practice community, and develop collective data wisdom in collaborative inquiry and reflective practice. Finally, considering that the cultivation of data wisdom is a complex and multi-lateral dynamic process, this paper analyzes the influencing factors and mechanism of data wisdom, provides a reference for the cultivation strategy of teachers' data wisdom, and puts forward the viewpoint of making good use of data wisdom.

Key words: data wisdom, teacher, precision teaching, data inquiry cycle, cultivating path

Xiaoling Peng, Bian Wu. How is data-driven precision teaching possible? From the perspective of cultivating teacher’s data wisdom[J]. Journal of East China Normal University(Educational Sciences), 2021, 39(8): 45-56.

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References 0

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