“1+3+N”数字学习资源分类框架研究

“1+3+N” Classification Framework of Digital Learning Resources Research

随着大数据、云计算、虚拟现实和人工智能等新型信息技术的日渐成熟,数字学习资源类型不断丰富,如何对数字学习资源进行准确界定与系统分类,进而为探究不同类型的数字学习资源建设、供给和应用提供服务,成为当前学界关注热点之一。文章以文献研究为主,综合对比研究、个案分析等方法,从国外AECT对数字学习资源研究和国内数字学习资源相关研究成果切入,结合对教育领域中典型信息技术的梳理,以罗盘原理为指导,总结提出数字学习资源分类框架。通过研究,将数字学习资源划分为基础知识类、辅助拓展类、工具软件类、网络平台类、虚拟现实类和生成性学习资源等六类,并从三个层面建构了"1+3+N"罗盘数字学习资源分类框架。

M With the development of new information technology,such as big data,cloud computing,virtual reality and AI,the types of digital learning resources are becoming more abundant.How to define and classify the digital learning resources accurately and provide support for the construction,supply and application of different types of digital learning resources has become one of the hot spots in the current academic field.Based on literature research,comprehensive comparative research,case analysis and other research methods,this paper starts from the research results of AECT on digital learning resources abroad and domestic digital learning resources,combined with the combing of typical information technology in the field of education,and guided by the compass principle,summarizes and puts forward the classification framework of digital learning resources.Through the research,the digital learning resources are divided into six categories:basic knowledge,auxiliary development,tool software,network platform,virtual reality and generative learning resources,and the "1+3+n" compass digital learning resources classification framework is constructed from three levels.