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精准教学视野下基于学习测评数据的可视化反馈研究

Visual Feedback Based on Learning Evaluation Data from Perspective of Precision Teaching

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【作者】 刘迎春谢年春高瑱涛

【Author】 LIU Ying-chun;XIE Nian-chun;GAO Zhen-tao;Zhejiang University of Technology;

【机构】 浙江工业大学

【摘要】 为了提高学习测评数据的可解释性,研究借鉴学习分析和可视化分析的范式,并依据精准教学启示下的教育反馈基本逻辑,构建了学习测评数据可视化反馈模式。在该模式的指导下,以"计算机应用基础"考试数据为例为学习者和教学者提供精准的现状诊断和建议反馈。最后,为进一步优化可视化反馈助力精准教学的路径,对生成有效知识和实现技术反馈两大问题进行了思考。

【Abstract】 In order to improve the interpretability of learning assessment data, the study draws on the paradigm of learning analysis and visual analysis, and then based on the basic logic of educational feedback inspired by precision teaching, a visual feedback model of learning assessment data has been constructed. Under the guidance of this model, this paper takes the "Computer Application Fundamentals" test data as an example to provide learners and teachers with accurate status diagnosis and suggestion feedback. Finally, in order to further optimize the path of visual feedback to help precise teaching, the two major issues of generating effective knowledge and achieving technical feedback were considered.

【基金】 国家社会科学基金一般项目“社交媒体中基于群体深度交互的信任生成研究”(编号:17BTQ067)
  • 【文献出处】 黑龙江高教研究 ,Heilongjiang Researches on Higher Education , 编辑部邮箱 ,2020年12期
  • 【分类号】G434
  • 【被引频次】9
  • 【下载频次】857
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