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理性面对教育研究与教育决策的“实证科学”化

To Rationally Face the Empirical Science Tendency of Educational Research and Decision-making

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【作者】 母小勇张卫民

【Author】 Mu Xiaoyong;Zhang Weimin;Institute of Humanities and Social Sciences,Soochow University;Education School,Soochow University;

【机构】 苏州大学人文社科处苏州大学教育学院

【摘要】 大数据技术除了带来教育教学活动方式的变化,还引起教育管理、教育决策与教育研究的范式转变。大数据技术以"大数定律"为基础,通过相关性或关联性分析,寻找教育活动的内部主导因素和高关联性外部因素,为教育决策、教育管理和教育研究提供技术支持。教育研究、教育管理与教育决策既强调"合规律性"也要求"合目的性",因而应用大数据技术进行教育研究与教育决策还存在局限性。本文指出,不能机械应用大数据技术解决教育所面临的问题,应该理性看待教育研究与教育决策的"实证科学"化,理性实现教育研究与教育决策的科学化。

【Abstract】 In addition to the changes in education and teaching activities, big data technology has also changed paradigms in education management, educational decision-making and educational research. Big data technology is based on the law of large numbers. Big data technology is looking for the inner leading factors and the large associated external factors in educational activities by the correlation or correlation analysis, which changes the methodology for educational decision-making, education management and education research. Because education research, education management and education policy emphasize not only the regularity but also the purposiveness, the application of the uncertain conclusions, which are based on big data technology, for educational research and policy making is limited. We must rationally consider the "empirical education science" and rationally realize the educational management and educational decision-making scientifically.

  • 【文献出处】 教育发展研究 ,Research in Educational Development , 编辑部邮箱 ,2017年17期
  • 【分类号】G40
  • 【被引频次】3
  • 【下载频次】485
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