[1]胡国良,黄美初.“5G+AI”视域下智慧学习空间的构建研究——基于开放大学的实践探索[J].远程教育杂志,2020,(03):095-104.[doi:10.15881/j.cnki.cn33-1304/g4.2020.03.010]
 Hu Guoliang,Huang Meichu.Research on the Construction of Smart Learning Space in the Perspective of "5G + AI":Based on the Practical Exploration of Open University[J].Distance Education Journal,2020,(03):095-104.[doi:10.15881/j.cnki.cn33-1304/g4.2020.03.010]
点击复制

“5G+AI”视域下智慧学习空间的构建研究——基于开放大学的实践探索()
分享到:

《远程教育杂志》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2020年03期
页码:
095-104
栏目:
学术视点
出版日期:
2020-05-15

文章信息/Info

Title:
Research on the Construction of Smart Learning Space in the Perspective of "5G + AI":Based on the Practical Exploration of Open University
作者:
胡国良; 黄美初
浙江广播电视大学 萧山学院,浙江杭州 311201
Author(s):
Hu Guoliang; Huang Meichu
Xiaoshan College, Zhejiang Open University, Hangzhou Zhejiang 311201
关键词:
人工智能5G开放大学智慧教育智慧学习空间
Keywords:
Artificial Intelligence 5G Open University Smart Education Smart Learning Space
分类号:
G434
DOI:
10.15881/j.cnki.cn33-1304/g4.2020.03.010
文献标志码:
A
摘要:
5G与AI等新一代信息技术的应用融入教育,为高校实施教学改革、实现智慧教育目标提供了强大的技术支撑。本研究以开放大学为例,在“AI+5G” 视域下对智慧学习空间进行了审视,从构建依据、空间内容、空间功能、构建路径四个方面阐述了基于5G和AI等新一代信息技术构建智慧学习空间的模型。在此基础上,进行开放大学智慧学习空间建设与应用的实践,以开放大学智慧学习空间学习者为研究对象,进行实证调查和SPSS分析。研究发现,开放大学整合社会和企业资源构建的智慧学习空间能够有效支持教学,学习者对学习空间构建和应用的整体认同度高;不同性别的学习者在学习空间各个维度的认同度方面有明显差异;教师的技术应用能力、教学方法与学习空间的设施设备、技术支持、资源建设、教学平台、支持服务、互动协作均显著影响学习者对学习空间的认同度;学习者对智慧学习空间的构建意义、特征和目标的认识存在一定的偏颇性。最后,基于智能时代学习观视角,提出了开放大学进一步完善智慧学习空间建设与应用的建议。
Abstract:
The application of next-generation information technology such as 5G and AI into education has provided a strong technical support for universities to implement teaching reforms and achieve the goals of smart education. This study takes the Open University as an example, and examines the smart learning space in the perspective of "AI + 5G". It expounds the model of building Smart learning space based on 5g and AI and other new generation information technologies from four aspects: the basis of building, the content of space, the function of space, and the path of building.On this basis, the practice of the construction and application of the smart learning space of the Open University is carried out, and the study of the smart learning space of the Open University is used as the research object for empirical investigation and SPSS analysis. The study found that the smart learning space constructed by the Open University’s integration of social and corporate resources can effectively support teaching, and that learners have a high degree of overall recognition of the construction and application of the learning space; learners of different genders have a clear identity in all dimensions of the learning space Differences; the teachers’ technology application ability, teaching methods and facilities of learning space, technical support, resource construction, teaching platform, support services, and interactive collaboration all significantly affect learners’ recognition of learning space; There are some biases in learners’ understanding of the significance, characteristics and objectives of the construction of smart learning space. Finally, based on the perspective of learning in the smart era, suggestions for further improving the construction and application of Smart learning spaces in the open university are put forward.

相似文献/References:

[1]孙洪涛,郑勤华.教育大数据的核心技术、应用现状与发展趋势[J].远程教育杂志,2016,(05):041.[doi:10.15881/j.cnki.cn33-1304/g4.2016.05.004]
 Sun Hongtao,Zheng Qinhua.The Technology, Application and Trends of Educational Big Data[J].Distance Education Journal,2016,(03):041.[doi:10.15881/j.cnki.cn33-1304/g4.2016.05.004]
[2]闫志明 唐夏夏 秦 旋 张 飞 段元美.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[J].远程教育杂志,2017,(01):026.[doi:10.15881/j.cnki.cn33-1304/g4.2017.01.003]
 Yan Zhiming,Tang Xiaxia,Qin Xuan,et al.The Connotations, Key Technologies and Application Trends of Artificial Intelligence in Education -- The Interpretation and Analysis of the Two Reports Entitled "Preparing for the Future of Artificial Intelligence "and "The National Artificial Intelligence Research and Development Strategic Plan"[J].Distance Education Journal,2017,(03):026.[doi:10.15881/j.cnki.cn33-1304/g4.2017.01.003]
[3]金 慧,胡盈滢,宋 蕾.技术促进教育创新——新媒体联盟《地平线报告》(2017高等教育版)解读[J].远程教育杂志,2017,(02):003.[doi:10.15881/j.cnki.cn33-1304/g4.2017.02.001]
 Jin Hui,HuYingying,Song Lei.Technology Promotes Education Innovation: An Analysis of The NMC Horizon Report: 2017 Higher Education Edition[J].Distance Education Journal,2017,(03):003.[doi:10.15881/j.cnki.cn33-1304/g4.2017.02.001]
[4]余明华,冯 翔,祝智庭.人工智能视域下机器学习的教育应用与创新探索[J].远程教育杂志,2017,(03):011.[doi:10.15881/j.cnki.cn33-1304/g4.2017.03.002]
 Yu Minghua,Feng Xiang,Zhu Zhiting.The Educational Applications and Innovative Explorations of Machine Learning in the view of Artificial Intelligence[J].Distance Education Journal,2017,(03):011.[doi:10.15881/j.cnki.cn33-1304/g4.2017.03.002]
[5]吴永和,刘博文,马晓玲.构筑“人工智能+教育”的生态系统[J].远程教育杂志,2017,(05):027.[doi:10.15881/j.cnki.cn33-1304/g4.2017.05.003]
 Wu Yonghe,Liu Bowen,MaXiaoling.Constructing an Ecosystem of "Artificial Intelligence + Education"[J].Distance Education Journal,2017,(03):027.[doi:10.15881/j.cnki.cn33-1304/g4.2017.05.003]
[6]陈凯泉,沙俊宏,何 瑶,等.人工智能2.0重塑学习的技术路径与实践探索——兼论智能教学系统的功能升级[J].远程教育杂志,2017,(05):040.[doi:10.15881/j.cnki.cn33-1304/g4.2017.05.004]
 Chen Kaiquan,Sha Junhong,He Yao,et al.The Technological Path and Practice Exploration of Reconstructing Learning based on Artificial Intelligence (AI) 2.0:Also on the Functional Upgrade of Intelligent Tutoring System[J].Distance Education Journal,2017,(03):040.[doi:10.15881/j.cnki.cn33-1304/g4.2017.05.004]
[7]张坤颖,张家年.人工智能教育应用与研究中的新区、误区、盲区与禁区[J].远程教育杂志,2017,(05):054.[doi:10.15881/j.cnki.cn33-1304/g4.2017.05.005]
 Zhang Kunying,Zhang Jianian.The New Area, Misunderstanding, Blind Area and Restricted Zone in Studies and Practice of Artificial Intelligence in Education(AIED)[J].Distance Education Journal,2017,(03):054.[doi:10.15881/j.cnki.cn33-1304/g4.2017.05.005]
[8]郁晓华,肖 敏,王美玲,等.基于可视化编程的计算思维培养模式研究——兼论信息技术课堂中计算思维的培养[J].远程教育杂志,2017,(06):012.[doi:10.15881/j.cnki.cn33-1304/g4.2017.06.002]
 Yu Xiaohua,Xiao Min,Wang Meiling,et al.Research on the Model of Developing Computational Thinking based on Visual Programming:Also on the Cultivation of Computational Thinking in Information Technology Classroom[J].Distance Education Journal,2017,(03):012.[doi:10.15881/j.cnki.cn33-1304/g4.2017.06.002]
[9]郝兆杰,潘 林.高校教师翻转课堂教学胜任力模型构建研究——兼及“人工智能+”背景下的教学新思考[J].远程教育杂志,2017,(06):066.[doi:10.15881/j.cnki.cn33-1304/g4.2017.06.008]
 Hao Zhaojie,Pan Lin.Construction of Teaching Competency Model of College Teachers in Flipped Classroom: Also Reflection on the Teaching in “Artificial Intelligence+” Background[J].Distance Education Journal,2017,(03):066.[doi:10.15881/j.cnki.cn33-1304/g4.2017.06.008]
[10]潘天君,欧阳忠明.人工智能时代的工作与职业培训:发展趋势与应对思考——基于《工作与职业培训的未来》及“云劳动”的解读[J].远程教育杂志,2018,(01):018.[doi:10.15881/j.cnki.cn33-1304/g4.2018.01.002]
 Pan Tianjun,Ouyang Zhongming.Jobs and Vocational Training in the Era of Artificial Intelligence: Trend and Thinking: The Interpretation of the Future of Jobs and Jobs Training[J].Distance Education Journal,2018,(03):018.[doi:10.15881/j.cnki.cn33-1304/g4.2018.01.002]
[11]朱 珂,王 玮,杨露彬.“5G+无人机”技术的教与学:场景、路径与未来应用展望[J].远程教育杂志,2019,(04):033.[doi:10.15881/j.cnki.cn33-1304/g4.2019.04.005]
 Zhu Ke,Wang Wei,Yang Lubin.5G+ Drone Education Teaching Application: Scene, Path and Future Prospect[J].Distance Education Journal,2019,(03):033.[doi:10.15881/j.cnki.cn33-1304/g4.2019.04.005]

备注/Memo

备注/Memo:
基金项目:本文系浙江省高等教育“十三五”人才培养建设项目“‘互联网+’背景下开放大学课堂教学改革的研究与实践”(jg20191073)、浙江广播电视大学教学改革项目(XJG201910)、浙江广播电视大学名师工作室建设项目“信息化教育教学改革与实践”的研究成果。
更新日期/Last Update: 1900-01-01