学习科学视阈的深度学习  

Deep Learning in the Vision of Learning Science

作　　者：孙智昌[1] 

机构地区：[1]中国教育科学研究院,北京100088

出　　处：《课程．教材．教法》2018年第1期20-26,共7页Curriculum，Teaching Material and Method

基　　金：中国教育科学研究院2016-2017年度基本科研业务费专项基金课题"新学业水平考试背景下的高中学校变革研究"(GY2016XDY0097)

摘　　要：学习科学重新揭示了学习的本质和规律,它与深度学习紧密相联。学习科学视阈的深度学习是学习者遵循学习原理,在学校场域中对以重要概念为核心的知识进行理解性和创新性学习的有效学习过程。深度学习的典型机制主要有生长机制、颉颃机制、建模机制、互动机制和表达机制等。深度学习需要全面引导,但关键是课程与教学的重建。深度学习在核心素养的培育、课程和教学的变革等方面给予我们诸多启示。Learning science reveals the nature and law of learning, which is profoundly connected with deep learning. The deep learning in the vision of science is related to the deep learning in the disciplines such as artificial intelligence, education evaluation, education technology and teaching theory, but it is more different. It is an effective learning process for learners to follow the principle of learning and to understand and innovate the knowledge of important concepts in the school field. Deep learning takes place in its mechanism, and its typical mechanism mainly includes growth mechanism, opponent mechanism, modeling mechanism, interactive mechanism and expression mechanism. Deep learning needs to be fully guided, but the key is the reconstruction of curriculum and teaching. Deep learning provides us with many inspirations in the cultivation of core quality, the renovation of learning, curriculum and teaching.

关 键 词：学习科学 深度学习 机制 引导 启示 

分 类 号：G42[文化科学—课程与教学论]