摘要
随着社会对深度学习能力的需求飙升,"发展深度学习"已达成国际共识,而如何评价深度学习亦成为了教育界不可回避的话题。作为一个多元概念,深度学习的评价立足于多元化的分析视角。其中,深度学习和浅表学习的关系、知识的深度模型、目标分类理论描绘了深度学习的狭义概念,为认知层面的评价奠定基础;而深度学习的兼容性框架则整合了认知、人际、自我三大领域,刻画了深度学习的广义概念,揭示其本质内涵。基于以上分析视角,深度学习衍生出了多种评价方法。这些评价研究的优点和不足为深度学习的进一步发展提供了重要的借鉴意义。
With the social demand for deep learning ability soared, "promoting deeplearning" has reached an international consensus,and how to assess the depth of learninghas become an unavoidable topic. As a multi-concept,deep learning is based on a widerange of analytical perspectives. The relationship between deep learning and surface learn-ing,the depth of knowledge model,the target classification theory depict the concept ofdeep learning,And the compatibility framework of deep learning integrates the three fieldsof cognition,interpersonal and self,depicts the general concept of deep learning and re-veals its essential connotation. Based on the above analysis,deep learning derived a varietyof assessment methods,some of them are process-oriented,including questionnaire survey,eye tracking and so on. Others are result-oriented,such as concept map,open task or prob-lem,academic achievement assessment and comprehensive assessment.The advantages anddisadvantages of these evaluation studies provide an important reference for the further de-velopment of deep learning.
出处
《外国教育研究》
CSSCI
北大核心
2017年第10期45-58,共14页
Studies in Foreign Education
基金
教育部人文社会科学重点研究基地重大项目"基于核心素养的课程标准研制的关键问题研究"子课题"核心素养的学习观研究"
关键词
深度学习
评价方法
研究启示
deep learning
assessment methods
enlightenment of research