借鉴、融合与创新:教育人工智能发展的多维路向——基于AIED(2011-2018)的启示  

Diverse Development Paths of Education Artificial Intelligence: Analysis and Enlightenment Based on AIED (2011-2018)

作　　者：徐欢云 胡小勇[1] XU Huanyun;HU Xiaoyong(School of Information Technology in Education,South China Normal University,Guangzhou 510631,China)

机构地区：[1]华南师范大学教育信息技术学院

出　　处：《开放教育研究》2019年第6期31-45,共15页Open Education Research

基　　金：2018年国家社科基金重大项目“信息化促进新时代基础教育公平的研究”(18ZDA334)

摘　　要：教育人工智能国际会议作为智能技术在教育应用领域高质量国际会议,至今有30余年历史。本文以2011-2018年教育人工智能国际会议论文集为研究内容,采用量化关键词和内容分析法精选129篇论文,系统梳理国际教育人工智能的研究现状与发展脉络,将其归纳为十二个聚焦点并加以阐述:融合游戏化设计的智能导学系统、学习者建模、智能教学代理设计及优化应用、基于数据挖掘和自然语言处理技术的数据共享与分析、大规模在线课程和移动学习的精准学习服务、机器学习技术的学习应用、学习者情感计算与探测、智能技术支持教与学理论的分析与验证、学习者技能素养的智能评估工具及方法、个性化反馈与自适应学习、课堂教学实景的人工智能教育应用、未来智慧学习空间设计。最后,本文就我国教育人工智能本土化发展创新提出以下研究建议:立足多样化视角挖掘小而精的研究主题,开展实证研究;借助国际平台和跨界思维,形成交叉融合型教育人工智能学术研究共同体;立足课程和教学,以育人为核心,重构智能时代的学习理论体系和实践发展路径。The International Conference on Artificial Intelligence in Education,as a high-quality international conference focusing on the applications of intelligent technology in education,has been more than 30 years since its start.This study presents a thematic analysis of the 309 articles published in its proceedings by Springer in the five meetings from 2011 to 2018,through the content analysis method to analyze the research status and development of international education artificial intelligence with 129 articles as fundamental materials to read thoroughly.The themes cover the following 12 main research topics:intelligent guiding system for gamification design,the application of artificial intelligence technology in classroom teaching,learner modeling,intelligent assessment tools and methods for learner skills literacy,data sharing and analysis based on data mining and natural language processing technology,learning application of machine learning technology,learner emotion calculation and detection,theoretical analysis and verification of teaching and learning based on intelligent technology support,precision learning services for large-scale online courses and mobile learning,future smart learning space design,intelligent pedagogical agent designing and its optimizing applications,personalized feedback and adaptive learning.Finally,some future research recommendations for the localization development and innovation of educational artificial intelligence in China can be taken into account:From the diversified perspective,exploring fine-grained and elaborate topics,and carrying out empirical research;With the support of international platform and cross-border thinking,forming a cross integrated educational AI academic research community;In curriculum and teaching scenarios,nurturing value and ability as the core elements,reconstructing the learning theory system and practical development path in the intelligent era.

关 键 词：教育人工智能 学习者模型 智能导学系统 教育游戏 智能教学代理 数据挖掘 

分 类 号：G434[文化科学—教育学]