人工智能教育应用与研究中的新区、误区、盲区与禁区

The New Area, Misunderstanding, Blind Area and Restricted Zone in Studies and Practice of Artificial Intelligence in Education(AIED)

以大数据、云计算、移动互联网等技术为代表的信息技术生态系统的形成和发展,推动了人工智能技术迅速发展,也促进了人工智能的教育应用和研究。但是,在人工智能教育应用与研究过程中,仍存在本质认知、理念态度、实践领域和应用边界等方面的问题。为此,在梳理人工智能教育应用现状和发展后,着重分析了人工智能教育应用或研究中"新区"、"误区"、"盲区"和"禁区"及产生的原因;在阐明人工智能与教育的关系、融合模式的基础上,讨论了人工智能教育应用中的一些对策。通过将增能、使能和赋能的人工智能技术与教育的本质相融合,并提出理论框架,对今后利用人工智能实现教育过程最优化,具有一定借鉴意义。

The technological ecosystem of big data, cloud computing and mobile internet has been driving artificial intelligence to develop quickly. Meanwhile, it also promotes studies and practice of artificial intelligence in education（AIED）. However,there are certain problems in AIED, such as the cognition of nature, concepts and attitude, practical field and boundary of AIED.Firstly, after combing the status quo and development of AIED, this paper analyzes the new area, misunderstanding, blind area and restricted zone of the studies and practice of AIED. And then, the paper illuminates the relationship, integrating model between artificial intelligence and education, and puts forward proposals for AIED. The paper also provides the theoretical framework of integrating artificial intelligence and educational nature, it can provide theoretical reference value of making use of AIED to realize the optimiza-tion of the educational process.