摘要
适应性学习系统为实现学习者的个性化学习提供了有效支持,国际主流适应性学习系统的多维比较将更有利于识别和推动适应性学习系统的特征及其发展。文章对牛顿、慧雀、塞拉戈和乂学四个主流适应性学习系统进行了比较,从适应性学习系统的使用群体、理论构建、主要功能、运行机制以及学习模式等维度进行了多层面的分析和阐述,揭示了不同适应性学习系统之间的异同和各自的独特特征。根据当前适应性学习系统的研究现状、挑战以及相关技术的发展,适应性学习系统未来的发展将更加关注人工智能技术的适应性学习支持、复杂适应性学习系统的构建以及面向学习者的情感化适应性学习技术支持。
Adaptive learning system could provide effective support for learners’personalized learning,and the multidimensional comparison of the international mainstream of adaptive learning systems will help to identify and promote the characteristics and development of adaptive learning systems.In this article,four main adaptive learning systems:Knewton,Smart Sparrow,Cerego and Easy Learning were compared from the multi-dimensions of the adaptive learning system,including user group,theory construction,main function,operating mechanism and learning model.The results revealed the differences and similarities among different adaptive learning systems and their unique qualities.According to the current research status,challenges of the adaptive learning system and the development of related technologies,the future development trend of adaptive learning system could be predicted.It can be seen that the adaptive learning system will pay more attention to the adaptive learning support of AI technology,the construction of intricately adaptive learning system and the support of emotionally adaptive learning technology for learners.
作者
李海峰
王炜
LI Hai-feng;WANG Wei(School of Educational Science,Xinjiang Normal University,Wulumuqi,Xinjiang,China 830017)
出处
《现代教育技术》
CSSCI
北大核心
2018年第10期35-41,共7页
Modern Educational Technology
基金
全国教育科学"十三五"规划2018年度教育部重点课题"在线协作知识建构的深度汇谈机制研究"(项目编号:DCA180324)的阶段性研究成果
关键词
自适应学习
在线学习
适应性学习系统
人工智能教育
adaptive learning
online learning
adaptive learning system
artificial intelligence in education