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大学生微型移动学习使用意愿的影响因素--以广西警察学院为例

An Investigation on the Influence Factors for College Students’ Intention of Using Micro Mobile Learning: A Case Study of Guangxi Police College
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摘要 以UTAUT技术接受模型为蓝本,利用因子分析、多元回归等方法,研究公安院校大学生微型移动学习的使用意愿以及各变量与使用意愿之间的关系。发现绩效与努力期望、财政成本、社会影响及感知娱乐性等因素对大学生微型移动学习使用意愿有积极正向的影响。应合理开发适用于公安院校大学生微型移动学习资源,开展协同合作的微型移动学习嵌入式服务,加大微型移动学习宣传,创建良好的微型移动学习环境,强化课程微学习资源的设计。 Based on UTAUT acceptance model, use is made of factor analysis and multiple regression to study college students’ intention of using micro mobile learning and the relationship between variables and their usage intention.The result shows that performance and expectations, financial costs, social impacts, and perceived entertainment have a positive effect on college students’ willingness of using micro-mobile learning.Therefore, efforts need to be made to reasonably develop micro-mobile learning resources suitable for police college students, carry out collaborative micro-mobile learning embedded services, step up promotion of micro-mobile learning, create a good micro-mobile learning environment, and enhance design of course micro-learning resources.
作者 韦恋娟 WEI Lian-juan(Guangxi Police College,Nanning 530023,China)
机构地区 广西警察学院
出处 《广西警察学院学报》 2020年第1期117-122,共6页 Journal of Guangxi Police College
基金 2017年广西职业教育教学改革项目(GXGZJG2017A002) 广西教育科学“十三五”规划课题(2017C531)。
关键词 微型移动学习 使用意愿 影响因素 变量关系 micro mobile learning usage intention influence factors relationship between variables
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  • 1陶侃.远程教育应把培养学生“活的能力”放在重要位置——从开放教育毕业生追踪调查探讨成人学生的能力培养[J].现代远距离教育,2006(4):21-24. 被引量:3
  • 2周蔚,纪河.成人远程学习者特征与学习支持服务策略[J].成人教育,2006,26(9):10-12. 被引量:15
  • 3De Jong, T., Speeht, M., Koper, R. Contextualised Media for Leaming[J].Journal of Educational Technology & Society,2008.11 (2) : 41-53.
  • 4Waycott, J., Jones, A., Scanlon, E.PDAs as lifelong learning tools: an activity theory based analysis[J].Leaming, Media, & Technolo- gy,2005,30(2) : 107-130.
  • 5Gu, X., Gu, F., Laffey, J.Designing a Mobile System for Lifelong Learning on the Move [J].Joumal of Computer Assisted Learning, 2001,27 (3) : 204-215.
  • 6Sharpies, M. The design of personal mobile technologies for lifelong learning[J].Computers & Education,2000,34(3-4):177-193.
  • 7Fischer, G., Konomi, S. Innovative Socio-Technical Environments in Support of Distributed Intelligence and Lifelong Learning[J]. Journal of Computer Assisted Leaming,2007,23 (4) : 338-350.
  • 8Lin, M., Goldman, R., Price, K., Sears, A., Jacko, J. How do People tap When Walking? An Empirical Investigation of Nomadic Data Entry[J].Intemational Journal of Human-Computer Studies,2007,65 (9) : 759-769.
  • 9Oulasvirta, A., Tamminen, S., Roto, V., Kuorelahti, J.Interaction in 4-Second Bursts: the Fragmented Nature of Attentional Re- sources in Mobile HCI [A].Proceedings of the SIGCHI Conference on Human Factors in Computing Systems [C].Portland, Oregon, USA: ACM,2005.919-928.
  • 10Lucas, H, C.Why Information Systems Fail[M]. Columbia University Press, 1975.

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