[1]郑思思,陈卫东,徐铷忆,等.数智融合:数据驱动下教与学的演进与未来趋向——兼论图形化数据智能赋能教育的新形态[J].远程教育杂志,2020,(04):027-37.[doi:10.15881/j.cnki.cn33-1304/g4.2020.04.003]
 Zheng Sisi,Chen Weidong,Xu Ruyi,et al.Data and Intelligence?Fusion: The Evolution and Future Trend of Data-driven Teaching and Learning:Also Discuss the New Form of Graphical Data Intelligent Enabling Education[J].Distance Education Journal,2020,(04):027-37.[doi:10.15881/j.cnki.cn33-1304/g4.2020.04.003]
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数智融合:数据驱动下教与学的演进与未来趋向——兼论图形化数据智能赋能教育的新形态()
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《远程教育杂志》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2020年04期
页码:
027-37
栏目:
前沿探索
出版日期:
2020-07-14

文章信息/Info

Title:
Data and Intelligence?Fusion: The Evolution and Future Trend of Data-driven Teaching and Learning:Also Discuss the New Form of Graphical Data Intelligent Enabling Education
作者:
郑思思; 陈卫东; 徐铷忆; 袁 凡; 褚乐阳
苏州科技大学 新媒体交互设计与应用研究所,江苏苏州 215011
Author(s):
Zheng Sisi; Chen Weidong; Xu Ruyi; Yuan Fan; Chu Leyang
Institution of New Media Interaction Design and Application,Suzhou University of Science and Technology,SuZhou Jiangsu 215011
关键词:
数据驱动图形化数据教育应用数智融合数字孪生全息课堂
Keywords:
Data-driven Graphical Data Educational Applications Data and Intelligence fusion:Digital Twins Holographic Classroom
分类号:
G420
DOI:
10.15881/j.cnki.cn33-1304/g4.2020.04.003
文献标志码:
A
摘要:
随着5G、大数据、XR和人工智能等技术的发展和应用,人类已经进入到数智融合时代。图形化是当今大数据的重要形式之一,可以快速地耦合异构数据,为各教育主体提供决策支持。图形化数据驱动教育的核心特征包括实时互动、埋点采集、深度分析和循证决策。在教育领域,图形化数据包括状态、过程、关系和支持四个维度的不同类型,具有直观性、全景性、交互性、智能性、可扩展性和叙事性等特性,在学生学习、教师教学、学习评价以及教学管理均可有效的应用。数智融合使得图形化数据可以从脑机技术、全域交互、人机融合、虚实共生、教育均衡、教育智脑6个方面赋能未来教育新形态。
Abstract:
With the development and application of 5G, Big data(BD), Extended Reality and Artificial Intelligence, the age of data and intelligence fusion has arrived. As one of the most important forms of big data , Graphical data(GD) can couple heterogeneous data and provide education subjects with support of decision.The characteristics of GD could be concluded as interacting in real time, embedding collection, analyzing in depth and making evidence-based decision. The GD could be divided into status, progress, relationship and supporting dimensions with features of intuitive, full-viewed, interactive, intelligent, expanded and narrative in education.It shows great potential in learning, teaching, learning evaluation and educational management .The method of data and intelligence fusion is to enhance the future education system with GD, in terms of brain-computer technology, global interaction, the human-computer integration, virtual-real symbiosis, education equity and smart education brain.

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备注/Memo

备注/Memo:
基金项目:本文系?2018年度江苏省教育信息化研究重点课题“基于智慧教室环境的个性化教学研究”(项目号:2018007);2018年江苏省教育科学规划“十三五”2018重点课题“智慧教室支持下的混合式教学模式创新与实践研究”(项目号:B-b/2018/01/60)的阶段性研究成果。
更新日期/Last Update: 1900-01-01