[Purpose/significance] This paper focuses on the adults' attitude and factors that influence their attitude.[Method/process] Card sorting was used for data collection. We recruited 102 participants from Beijing, Shanxi, Zhejiang, Shanghai and so on. All participants were asked to write reasons why they support children using mobile applications or why not. Then participants are divided in groups and each group was asked to classify these reasons.[Result/conclusion] This paper built an educational mobile application acceptance model based on the statistical analysis and clustering. The model includes several factors such as perceived usefulness, perceived ease of use, perceived risk, consistency, and attitude. The factor perceived risk is emphasized in the paper and it is consisted of 3 parts:health, communication and device dependence.
Wang Jun
,
Cheng Wenting
. Educational Mobile Application Acceptance Model Construction[J]. Library and Information Service, 2017
, 61(16)
: 60
-65
.
DOI: 10.13266/j.issn.0252-3116.2017.16.009
[1] 中国互联网络信息中心. 第39次中国互联网络发展状况统计报告[R/OL].[2017-05-17]. http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/hlwtjbg/201701/P020170123364672657408.pdf.
[2] 艾瑞咨询. 2015年中国青少年及儿童互联网使用现状研究报告[R/OL].[2017-05-17]. http://wreport.iresearch.cn/uploadfiles/reports/635684308730468750.pdf.
[3] DAVIS F D. Perceived usefulness, perceived ease of use, and user acceptance of information technology[J]. MIS quarterly, 1989, 13(3):319-340.
[4] DAVIS F D, BAGOZZI R P, WARSHAW P R. User acceptance of computer technology:a comparison of two theoretical models[J]. Management science, 1989, 35(8):982-1003.
[5] ROGERS, EVERETT M. Diffusion of innovations[M]. New York:Free Press, 1995:866-879.
[6] BAUER R A. Consumer behavior as risk taking[C]//Proceedings of the 43rd national conference of the American Marketing Assocation. Chicago:American Marketing Association, 1960.
[7] DHAMI H S. The role of trust and perceived risk in user acceptance of technology innovation in safety-critical systems[D]. Troy:Rensselaer Polytechnic Institute, 2005.
[8] 刘根萍, 吴凤秀. 温州在校大学生接受移动学习的影响因素分析——基于扩展技术接受模型的实证研究[J]. 现代教育技术, 2011, 21(6):109-114.
[9] 武刚. 基于TAM模型的大学生移动学习影响因素探析——以南京邮电大学为例[D]. 南京:南京邮电大学, 2014.
[10] 缪红燕, 刘相臣, 吴祥辉. TAM模型视野下大学生移动学习行为的调查研究——以江苏省某高校为例[J]. 学术探索, 2014(2):76-79.
[11] 顾小清, 付世容. 移动学习的用户接受度实证研究[J]. 电化教育研究, 2011(6):50-57.