教育人工智能(EAI)的内涵、关键技术与应用趋势——美国《为人工智能的未来做好准备》和《国家人工智能研发战略规划》报告解析  

The Connotations, Key Technologies and Application Trends of Educational Artificial Intelligence(EAI):Interpretation and Analysis of the Two Reports Entitled “Preparing for the Future of Artificial Intelligence”and “The National Artificial Intelligence

作　　者：闫志明[1] 唐夏夏 秦旋[1] 张飞[1] 段元美[1] 

机构地区：[1]鲁东大学教育科学学院,山东烟台264000

出　　处：《远程教育杂志》2017年第1期26-35,共10页Journal of Distance Education

基　　金：山东省本科高校教学改革基金项目"新能力标准框架下高校师范生现代教育技术课程重构"(项目编号:2015M062);山东省科技发展计划基金项目"基于m Baa S云端架构的移动评教系统研制与开发"(项目编号:2013YD01031);鲁东大学引进博士科研启动基金项目"动画学习中视觉注意转移的眼动研究"(项目编号:LY2013033)的研究成果

摘　　要：为进一步引领人工智能(AI)应用与研发,美国白宫科技政策办公室于2016年10月发布了题为《为人工智能的未来做好准备》和《国家人工智能研发战略规划》两份重要报告。报告认为,人工智能技术对社会各领域的影响越来越深刻,教育是人工智能应用的一个重要领域。教育人工智能(Educational Artificial Intelligence)是人工智能与学习科学相结合的一个新领域,目前,教育人工智能的关键技术主要体现在知识的表示方法、机器学习与深度学习、自然语言处理、智能代理、情感计算等方面,其应用与发展趋势集中在智能导师与助手、智能测评、学习伙伴、数据挖掘与学习分析等领域。基此,迫切需要在各级各类教育中强化人工智能方面的人才培养,以应对人工智能的快速发展。In order to further the application, research and development of artificial intelligence（AI）, the Office of Science and Technology Policy of White House released two reports entitled ＂Preparing for the Future of Artificial Intelligence＂and ＂The National Artificial Intelligence Research and Development Strategic Plan＂ in October 2016. According to the reports, the AI has been playing a growing role in every area of society, among which education is an important one. Educational artificial intelligence（EAI） is a new field which combines AI with learning science. Currently, the key technologies of EAI are knowledge representation, machine learning, deep learning, natural language processing, intelligent agent, affective computing, etc. The development of EAI in education focuses on the intelligent tutor and assistant, intelligent evaluation, learning partner, data mining, learning analysis, etc. On this account, there is urgent need to strengthen the training of workforce of EAI at all levels, in accordance with the rapid development of AI.

关 键 词：人工智能 教育人工智能 EAI 机器学习 智能数据 学习分析 学习计算 深度学习 

分 类 号：G40-057[文化科学—教育学原理]