[1]段金菊,余胜泉.学习科学视域下的e-Learning深度学习研究[J].远程教育杂志,2013,(04):043-51.
　Duan Jinju,Yu Shengquan.Overview of Study on Deep Learning with E-learning Based on Learning Science[J].Distance Education Journal,2013,(04):043-51.
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学习科学视域下的e-Learning深度学习研究()
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《远程教育杂志》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2013年04期
页码:
043-51
栏目:
学习新论
出版日期:
2013-08-01

文章信息/Info

Title:
Overview of Study on Deep Learning with E-learning Based on Learning Science
作者:
段金菊 ；余胜泉
北京师范大学 教育学部 现代教育技术研究所，北京 100875
Author(s):
Duan Jinju ；Yu Shengquan
1. Institute of Educational Technology, Faculty of Education Research, Beijing Normal University, Beijing 100875 2. College of Modern Educational Technology, Northwest University for Nationalities, Lanzhou, Gansu 730030
关键词:
e-Learning环境; 深度学习; 高水平思维; 概念交互
Keywords:
E - Learning environment;  Deep learning;  High-order thinking;  Conception interaction
分类号:
G420
文献标志码:
A
摘要:
深度学习是学习科学的主旨，也是现阶段所要破解的e-Learning难题，因此对学习科学视域下的e-Learning深度学习进行研究，追溯起源，把握热点对推进e-Learning学习意义深远。在梳理e-Learning的现状及主要问题的基础之上，剖析了学习科学领域深度学习的重要性，以深度学习的内涵与特征、有意义学习是深度学习的主旨、高水平思维是深度学习的核心等理念为依据构建了e-Learning环境下深度学习分析模型，以此为据，对e-Learning深度学习研究现状进行述评，研究发现，为了进一步推动学习科学的发展，深度学习的研究必须在学习过程的评估与分析，情感体验等方面进一步加强，研究方法与研究视角多进行创新，研究应该更精细深入，多进行相关的量化研究，以充分利用学习评估技术对深度学习的现状进行把脉。
Abstract:
Deep learning is the main purpose of learning science, and is also the main problem that e-learning must solve at the moment. Therefore, the study on deep learning with e-learning based on learning science, tracing the origin of deep learning and grasping its keynote are of far-reaching significance to promote e-learning. Firstly, the situation and main problems ofe-learning are cleared up. Then, the importance of deep learning in the perspective of learning science is analyzed. The analysis model of deep learning with e-learning is constructed on the basis of core ideas such as connotation and characteristics of deep learning, meaningful learning as the aim of deep learning, higher-order thinking as the core of deep learning. Lastly, the research situation of deep learning with e-learning is reviewed. It is found out that, in order to promote the development of learning science, when studying deep learning, the evaluation and analysis of learning process and the feeling experience should be strengthened, research method and perspective need innovating, and doing a thorough and quantitative research can help promote deep learning with making full use of learning evaluation technology.

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备注/Memo

备注/Memo:
基金项目：本研究受国家自然科学基金项目“泛在学习的资源组织模型及其关键技术研究”（项目批准号：61073100）、教育部人文社科青年基金项目“网络环境下大学生深度学习的理论与应用研究”（项目编号：10YJC880025）的支持。
更新日期/Last Update: 2013-08-01