国外典型自适应学习平台的基本框架及其关键技术分析

近几年,随着人工智能技术日趋成熟,支持个性化学习的自适应学习平台得到了教育研究者的普遍关注.目前,国外已有成熟的、正在大规模推广和使用的自适应学习平台.对这些典型平台的基本框架及其关键技术进行分析,能够为我国自适应学习平台的研究提供有益的借鉴与参考.本文首先从自适应学习的定义和特点出发,在介绍国外典型的自适应学习平台Knewton和ALEKS的主要特点的基础上,阐述了自适应学习平台的基本框架,并对自适应平台中的两个关键技术——知识库构建技术以及认知诊断技术进行了具体的分析,最后对自适应平台的发展进行了展望.

Analyzing the Basic Frame and Key Technology of the Foreign Classical Adaptive Systems

In recent years, with the maturing of artificial intelligence technologies, the adaptive learning platform for personalized learning has attracted the attention of educational researchers. It is important for us to analyze the basic frame and the key technolgies of the foreign classical adaptive systems. In this paper, the definition of the adpative learning and the characters of are presented. Then, on the basis of introducing the foreign classical systems: Knewton and AlEKS, it presents the basic frame of adaptive learning systems and the key technologies: knowledge base and cognitive diagnosis. Finally, The development of adaptive platform is prospected.