Teachers' Data Literacy Evaluation Practice: A review of recent research

Full Paper (Asynchronous) ID: 59676
  1. aaa
    Shuting Yang
    East China Normal University
  2. aaa
    Shuyun Zhou
    East China Normal University
  3. Yangziqi Zhang
    East China Normal University

Abstract: The advent of the era of big data has put forward new requirements for teachers' professional abilities. Teachers need to have data literacy to make reasonable educational decisions. Evaluation is an important part of cultivating teacher data literacy. This study sorts out the literature and practical cases related to teacher data literacy evaluation in the past ten years, and analyzes from three aspects: evaluation content, evaluation methods, and evaluation implementation. The study finds that researchers mainly build theoretical models from the process of making data decisions. In addition, there are mainly three methods for teacher data literacy evaluation: questionnaire survey method, interview method and comprehensive method. The study summarizes and compares the similarities and differences in the implementation of evaluation methods. Finally, the enlightenment is extracted, in order to provide theoretical and practical reference for the evaluation of data literacy of teachers in China.

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