基于深度学习核心要素的评课研究
A Study on Evaluation of Class Based on Core Elements of Deep Learning
  
DOI:
中文关键词:  深度学习;核心要素;评课框架;目标呈现;情境创设;行为投入;反思
英文关键词:deep learning, core elements, a framework of class evaluation, target presentation, situation creation, behavioral input, reflection
基金项目:本文系教育部人文社会科学研究规划基金项目“深度学习的促进机制研究与评价模式构建——以教育媒体表征深度学习核心要素为路径”(项目编号:17YJC880074)的阶段性成果。
作者单位
刘哲雨 天津师范大学 
景爽 天津师范大学 
胡梦琪 天津师范大学 
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中文摘要:
      研究面向深度学习的评课,确定深度学习的核心要素为目标呈现、情境创设、行为投入和反思,基于核心要素构建评课框架。框架包括三个阶段性迭代,分别为新知理解、迁移与问题解决、思维发展与创新。结合高中数学案例分析,从理论论证到框架构建,从方法技巧到案例分析,为面向深度学习的评课提供处方型解决方案,有依据、有步骤、有标准地实现了评课优化教学的过程,引领了课堂教学迈向深度学习的价值取向。
英文摘要:
      To study on the evaluation of class for deep learning, the paper extracts the core elements including objective presentation, context creation, behavior engagement and reflection. Based on the core elements, a framework of class evaluation for deep learning is constructed. There are three periodic iterations, understanding new knowledge, migration and solving problem, thinking development and innovation, in the framework. The analysis from argumentation in theory to constructing framework and from providing methods to analyzing cases would become a prescription for how to evaluate the classes of deep learning. Realizing optimized-instruction through the process of class evaluation with basis, steps and standards leads the orientation of deep learning within classroom teaching.
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