State of the art and practice in AI in education

被引:223
作者
Holmes, Wayne [1 ]
Tuomi, Ilkka [2 ]
机构
[1] Univ Coll London UCL, UCL Knowledge Lab, IOE, UCLs Fac Educ & Soc, 23-29 Emerald St, London WC1N 3QS, England
[2] Meaning Proc Ltds, Helsinki, Finland
关键词
INTELLIGENT TUTORING SYSTEMS; INSTRUCTION; SCIENCE;
D O I
10.1111/ejed.12533
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Recent developments in Artificial Intelligence (AI) have generated great expectations for the future impact of AI in education and learning (AIED). Often these expectations have been based on misunderstanding current technical possibilities, lack of knowledge about state-of-the-art AI in education, and exceedingly narrow views on the functions of education in society. In this article, we provide a review of existing AI systems in education and their pedagogic and educational assumptions. We develop a typology of AIED systems and describe different ways of using AI in education and learning, show how these are grounded in different interpretations of what AI and education is or could be, and discuss some potential roadblocks on the AIED highway.
引用
收藏
页码:542 / 570
页数:29
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