教育研究的去芜存菁之路:从多模态叙事到证据公平——美国AERA 2019年会述评
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  • 英文篇名:Leveraging Educational Research in a “Post-truth” Era: From Multimodal Narratives to Democratize Evidence:Review of 2019 AERA Annual Meeting
  • 作者:吴忭 ; 彭晓玲 ; 胡艺龄
  • 英文作者:Wu Bian;Peng Xiaoling;Hu Yiling;Department of Educational Information Technology, Faculty of Education, East China Normal University;
  • 关键词:AERA ; 多元交互 ; 脑智与情感 ; 多模态 ; 数据素养 ; 自动会话分析 ; 社交机器人 ; 可穿戴式生物传感技术 ; 数据 ; 跨界合作 ; 尺度重构
  • 英文关键词:AERA;;Multi-interaction;;Brain Intelligence and Emotion;;Multimodal;;Data Literacy;;Automatic Discourse Analysis;;Social Robotics;;Wearable Biometric Sensors;;Thick Data;;Cross-border Cooperation;;Scale Reconstruction
  • 中文刊名:YCJY
  • 英文刊名:Journal of Distance Education
  • 机构:华东师范大学教育学部教育信息技术学系;
  • 出版日期:2019-07-18
  • 出版单位:远程教育杂志
  • 年:2019
  • 期:v.37;No.253
  • 基金:2019年度教育部人文社会科学研究青年基金项目“基于虚拟实习的STEM教师教育创新模式与应用研究”(项目编号:19YJC880033)的研究成果
  • 语种:中文;
  • 页:YCJY201904002
  • 页数:11
  • CN:04
  • ISSN:33-1304/G4
  • 分类号:15-25
摘要
2019年4月5日-9日,美国教育研究协会(AERA)年会在加拿大的多伦多市召开,年会主题是"‘后真相’时代教育研究的去芜存菁之路:从多模态叙事到证据公平"。年会研讨的内容十分丰富,涵盖了学习科学与学习技术领域的一些前沿研究:从智慧、深度、全息、泛在连接的技术时代背景,通过协同交互,建立资源的流动与互通,实现人与人、人与环境的赋能,进而形成跨界融合的学习生态。为此,从理解学习、设计学习和评价学习三个维度,可勾勒出智能化时代教育生态的概貌,并从跨尺度融合研究、构筑学习设计生态圈和基于理解的学习评价之角度,阐述了未来研究的发展趋势,以期为领域学者及教育工作者提供借鉴。
        AERA 2019 was held in Toronto, Canada from the 5th to the 9th of April. The theme of this year was "Leveraging educational research in a ‘Post-truth' era: From multimodal narratives to democratize evidence ". This review study focused on the frontier research of the learning sciences and learning technology in this conference. The study tried to address the issue of coop-eration and interaction; realizing resource flow and sharing; empowering between human and environment which in turn, forming the integrated learning ecosystem in this intelligent, deep, widely-connected information age. To achieve this, the study depicted the landscape of education ecosystem from learning understanding, learning design and learning assessment dimensions. Future research directions were demonstrated in terms of multiscale study, learning design community establishment, and learning assessment based on understanding.
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