深度学习数字化资源表征方法与开发模式  

Towards a representation mode and development model of digital deep learning resources

作　　者：胡航 董玉琦[3] 

机构地区：[1]东北师范大学教育学部 [2]天津职业技术师范大学教育技术系 [3]上海师范大学教育技术系

出　　处：《中国远程教育》2017年第12期5-11,20,共8页Chinese Journal of Distance Education

摘　　要：研究在"技术怎样促进学习"这一核心命题的多变量探索实验基础上,针对"学习内容及其资源"这一变量进行了深入的实证研究。依据实证研究的过程与结论及其相关理论基础,分析了S-DIP深度学习资源表征态,总结了与表征态映射的数字化学习资源表征方法及其特征,归纳了深度学习资源的五项开发原则,构建了CRF深度学习资源开发模式,最后对深度学习资源的内涵进行了深入理解,提出了其应用策略。Built on a multi-variable exploratory experiment on technology-enhanced learning, this study was an empirical inquiry into the variable of learning content and its resources. Informed by the empirical findings and conclusions as well as relevant theoretical underpinnings, the article analyzed the mode of representation of S-DIP deep learning resources, its corresponding representation methods and characteristics, and five development principles for deep learning resources. The analysis led to the construction of a development model for CRF deep learning resources. The article was rounded off with a profound interpretation of the concept of deep learning resources and recommendation of application strategies.

关 键 词：深度学习 数字化资源 表征 开发模式 

分 类 号：G434[文化科学—教育学]