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深度学习文献综述 被引量:41

Literature Review of Deep Learning
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摘要 在21世纪核心素养中,深度学习能力是公民必须具备的生活和工作能力,发展深度学习是当代学习科学的重要举措,是深度加工知识信息、提高学习效率的有效途径。本文基于文献分析法和内容分析法,从深度学习的内涵、特征、策略、测量和评价、问题与挑战五个方面对深度学习的相关文献进行梳理,在此基础上认为需要丰富深度学习的相关理论,完善深度学习发展的策略研究,加强对技术支持下的深度学习的测量和评价方式的研究来促进深度学习的发展。 21 st Century Literacy puts forward deep learning ability as life and work ability world citizens must possess. The development of deep learning is an important action for contemporary learning science, which is an eff ective way to deepen the knowledge information and to improve learning efficiency. Based on literature analysis and content analysis, this paper reviews the relevant literature of deep learning from five aspects: connotation, characteristics, strategy, measurement and evaluation, problems and challenges. Based on this, it is necessary to enrich the relevant theories of deep learning, to improve the strategic study of deep learning development, and to strengthen the research on measures and evaluation methods of deep learning under technical support, in order to promote the development of deep learning.
作者 常立娜 CHANG Lina(Educational Technical College, Northwest Normal University, Lanzhou 730070, Chin)
出处 《开放学习研究》 2018年第2期30-35,共6页 Journal of Open Learning
关键词 深度学习 教学评价 教学策略 deep learning teaching evaluation teaching strategy
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