Factors predicting online university students’ use of a mobile learning management system (m-LMS)

被引：0
作者：
Young Ju Joo
Nari Kim
Nam Hee Kim
机构：
[1] Ewha Womans Univeristy,College of Education
[2] University of Wisconsin-Oshkosh,College of Education and Human Services
来源：
Educational Technology Research and Development | 2016年 / 64卷
关键词：
Mobile learning; Mobile learning management system; m-LMS; Actual usage; Technology acceptance model; Expectation-confirmation model;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This study analyzed the relationships among factors predicting online university students’ actual usage of a mobile learning management system (m-LMS) through a structural model. Data from 222 students in a Korean online university were collected to investigate integrated relationships among their perceived ease of use, perceived usefulness, expectation-confirmation, satisfaction, continuance intention and actual usage of m-LMS. Results showed that perceived ease of use predicted perceived usefulness, but expectation-confirmation was not related to perceived usefulness. Perceived usefulness and expectation-confirmation predicted satisfaction. Perceived usefulness and satisfaction predicted continuance intention, but perceived ease of use was not related to continuance intention. Continuance intention predicted actual usage of m-LMS.
引用
收藏
页码：611 / 630
页数：19
相关论文
共 161 条
[1]  
Adams DA(1992)Perceived usefulness, ease of use, and usage of information technology: A replication MIS Quarterly 16 227-247
[2]  
Nelson RR(1991)The theory of planned behavior Organizational Behavior and Human Decision Processes 50 179-211
[3]  
Todd PA(2001)Understanding information systems continuance: An expectation- confirmation model MIS Quarterly 25 351-370
[4]  
Ajzen I(2008)Effectiveness of personal interaction in a learner-centered paradigm distance education class based on student satisfaction Journal of Research on Technology in Education 40 407-426
[5]  
Bhattacherjee A(2013)User acceptance of mobile technology: A campus-wide implementation of mobile learn application Journal of Educational Computing Research 49 327-343
[6]  
Chang SHH(2012)An investigation of mobile learning readiness in higher education based on the theory of planned behavior Computers & Education 59 1054-1064
[7]  
Smith RA(2009)The effects of customers’ mobile experience and technical support on the intention to use mobile banking Cyber Psychology & Behavior 12 539-543
[8]  
Chen B(2007)Are you ready for mobile learning? EDUCAUSE Quarterly 30 51-58
[9]  
Sivo S(2005)Evaluation of a mobile learning organizer for university students Journal of Computer Assisted learning 21 162-170
[10]  
Seilhamer R(1989)Perceived usefulness, perceived ease of use, and user acceptance of information technology MIS Quarterly 13 319-340
12345678910