[1]方 旭,韩锡斌.高校教师教学大数据技术行为意向影响因素研究——基于清华“学堂在线”的调查[J].远程教育杂志,2017,(06):076-86.[doi:10.15881/j.cnki.cn33-1304/g4.2017.06.009]
 Fang Xu,Han Xibin.Research of Influencing Factor of Teaching Big Data Technology of College Teachers:Based on Tsinghua XuetangX’s Investigation[J].Distance Education Journal,2017,(06):076-86.[doi:10.15881/j.cnki.cn33-1304/g4.2017.06.009]
点击复制

高校教师教学大数据技术行为意向影响因素研究——基于清华“学堂在线”的调查()
分享到:

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

卷:
期数:
2017年06期
页码:
076-86
栏目:
学术视点
出版日期:
2017-11-15

文章信息/Info

Title:
Research of Influencing Factor of Teaching Big Data Technology of College Teachers:Based on Tsinghua XuetangX’s Investigation
作者:
方 旭; 韩锡斌
1.兰州大学 高等教育研究所 ,甘肃兰州 730000; 2.清华大学 教育研究院,北京 100084
Author(s):
Fang Xu; Han Xibin
1.Higher Education Research Institute, Lanzhou University, Lanzhou Gansu 730000; 2. Educational Reaserch Institute, Tsinghua University, Beijing 100084
关键词:
教育大数据教学大数据行为意向影响因素实证研究
Keywords:
Educational big data Teaching big data Behavior intention Influencing factor Empirical research
分类号:
G434
DOI:
10.15881/j.cnki.cn33-1304/g4.2017.06.009
文献标志码:
A
摘要:
目前,教育大数据技术成为教育技术领域的研究热点之一。国内外对教育大数据的含义、应用等问题进行了探讨。教育大数据的构成方面,教学大数据首当其冲,对于教学大数据的深入研究具有重要的意义。目前国内外较多的集中于教育大数据的探讨,而对于教学大数据还有待进一步进行更加深入全面的探讨。已有研究表明,大数据技术如何“落地”,是有待解决的问题。针对目前关于教师教学大数据技术行为意向影响因素的研究还很少见,还缺乏深入的理论分析和实证研究,在构建高校教师教学大数据技术行为意向影响因素模型的基础进行了实证分析,对教师教学大数据技术行为意向影响因素进行了研究。结果表明:有用性感知和情绪两个变量与教师教学大数据的行为意向正相关,社群影响和绩效感知两个变量与有用性感知正相关,促成条件与易用性感知正相关(p<0.05);所构建的模型具有良好的解释力,对行为意向的解释度为73.3%;教师具有了一定的行为意向,而社群影响、易用性感知以及促成条件等方面的感知程度还很低。
Abstract:
Nowadays, education big data technology has become one of the hot points of research in the field of educational technology. The problems such as the meaning and application of education big data technology are discussed at home and abroad. Teaching big data bears the brunt in the education big data, and more deep and comprehensive research is required. Nowadays research of influencing factors of acceptance of teaching big data technology is less, and there are lack of deep theory analysis and empirical research. The theory analysis and empirical research is given in our study, based on XuetangX’s investigation. The results show that perceived usefulness and enjoyment have positive influence on behavior intention of use of teaching big data technology, and social influence and output quality have influence on perceived usefulness; Facilitating conditions has positive influence on perceived ease of use(p<0.05); The model has good explanation power which has 73.3% of behavior intention.

相似文献/References:

[1]牟智佳.电子书包中基于教育大数据的个性化学习评价模型与系统设计[J].远程教育杂志,2014,(05):090.
 Mou Zhijia.Research on Model of Personalized Learning Evaluation System Based on Educational Big Data in the Electronic Schoolbag[J].Distance Education Journal,2014,(06):090.
[2]刘永琪,胡凡刚.翻转课堂教学模式的伦理省思[J].远程教育杂志,2015,(06):078.[doi:10.15881/j.cnki.cn33-1304/g4.2015.06.011]
 Liu Yongqi,Hu Fangang.The Ethical Examination on the Teaching Model of Flipped Classroom[J].Distance Education Journal,2015,(06):078.[doi:10.15881/j.cnki.cn33-1304/g4.2015.06.011]
[3]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,(06):041.[doi:10.15881/j.cnki.cn33-1304/g4.2016.05.004]
[4]詹立彩,陈凤燕,孟世敏.教育大数据视域下在线校园管理的技术支撑、动力结构与机制——基于系统动力理论研究范式[J].远程教育杂志,2016,(06):070.[doi:10.15881/j.cnki.cn33-1304/g4.2016.06.009]
 Zhan Licai,Chen Fengyan,Meng Shimin.Technological Support, Dynamic Structure and Mechanism of Online Campus Management from the Perspective of Big Data[J].Distance Education Journal,2016,(06):070.[doi:10.15881/j.cnki.cn33-1304/g4.2016.06.009]
[5]孟志远,卢 潇,胡凡刚.大数据驱动教育变革的理论路径与应用思考——首届中国教育大数据发展论坛探析[J].远程教育杂志,2017,(02):009.[doi:10.15881/j.cnki.cn33-1304/g4.2017.02.002]
 Meng Zhiyuan,Lu Xiao,Hu Fangang.Theoretical Path and Application Thinking on the Realistic Way of Big Data-Driven Education: A Review of the First Chinese Education Big Data Development Forum[J].Distance Education Journal,2017,(06):009.[doi:10.15881/j.cnki.cn33-1304/g4.2017.02.002]
[6]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,(06):011.[doi:10.15881/j.cnki.cn33-1304/g4.2017.03.002]
[7]刘清堂,王 洋,雷诗捷,等.教育大数据视角下的学习分析应用研究与思考[J].远程教育杂志,2017,(03):071.[doi:10.15881/j.cnki.cn33-1304/g4.2017.03.008]
 Liu Qingtang,WangYang,Lei Shijie,et al.The Application Study of Learning Analytics Supported by Educational Data[J].Distance Education Journal,2017,(06):071.[doi:10.15881/j.cnki.cn33-1304/g4.2017.03.008]
[8]方海光,仝赛赛,杜婧敏,等.基于区块链技术的智慧学习机器人设计研究——面向大规模学习服务系统的智慧学习机器人[J].远程教育杂志,2017,(04):042.[doi:10.15881/j.cnki.cn33-1304/g4.2017.04.004]
 Fang Haiguang,Tong Saisai,Du Jingmin,et al.Smart Learning Robot Design based on Blockchain Technology: Smart Learning Robot oriented Large-Scale Learning Services System[J].Distance Education Journal,2017,(06):042.[doi:10.15881/j.cnki.cn33-1304/g4.2017.04.004]
[9]卢 潇,胡凡刚.基于教育大数据的教育虚拟社区交互设计研究[J].远程教育杂志,2017,(05):084.[doi:10.15881/j.cnki.cn33-1304/g4.2017.05.008]
 Lu Xiao,Hu Fangang.Research on the Interaction Design in Educational Virtual Community based on Big Data of Education[J].Distance Education Journal,2017,(06):084.[doi:10.15881/j.cnki.cn33-1304/g4.2017.05.008]
[10]鲍日勤.人工智能时代的教与学变迁与开放大学2.0新探[J].远程教育杂志,2018,(03):025.[doi:10.15881/j.cnki.cn33-1304/g4.2018.03.003]
 Bao Riqin.New Investigation in Teaching and Learning Transformation and Open University 2.0 in Artificial Intelligence Era[J].Distance Education Journal,2018,(06):025.[doi:10.15881/j.cnki.cn33-1304/g4.2018.03.003]

备注/Memo

备注/Memo:
基金项目:本文系中国高等教育学会教育信息化分会2016年重点课题项目“我国高校学历教育对慕课学分转换的实证研究”(项目编号:2016XXZD04)的研究成果。
更新日期/Last Update: 2017-11-16