Indian Journal of Science and Technology
DOI: 10.17485/ijst/2019/v12i19/140855
Year: 2019, Volume: 12, Issue: 19, Pages: 1-12
Original Article
Ayman N. Alkhaldi1* and Abdallah M. Abualkishik2
Ayman N. Alkhaldi1* and Abdallah M. Abualkishik2
1 Management Information Systems Department, University of Hai’l, Hai’l, Kingdom of Saudi Arabia, Saudi Arabia; [email protected]
2 Sohar University, Oman; [email protected]
*Author for correspodence
Alkhaldi
1 Management Information Systems Department, University of Hai’l, Hai’l, Kingdom of Saudi Arabia, Saudi Arabia;
Email:[email protected]
Objective: This study is to propose a model that investigates the predictive factors influencing the intention to adopt mobile blackboard. Methods and Analysis: Researchers used quantitative research method. A survey questionnaire with closed questions was also used. A cross-sectional survey was conducted for data collection. A random sample was stratified to target certain respondents (i.e., students at university of Hai’l in Saudi Arabia). The quantitative data were analyzed using SPSS 17.0. Findings: The factors of self-management of learning, social influence, perceived playfulness, previous experience, performance expectancy, and effort expectancy are positively effect on the behavioral intention to adopt mobile blackboard as expected, except for the cost factor. Although the users’ previous experience has a negative moderating effect on the correlation for both effort expectancy and the intention to adopt the mobile blackboard system, while it didn’t affect the relation between intentions to adopt mobile blackboard with performance expectancy factor. Novelty/Improvement: This study developed an innovative mobile learning model, and assured the validity of the learning model in this context. Researchers recommended employing the new conceptual model in different settings, technologies, and countries.
Keywords: Course Management System, Electronic Learning, Intention to Adopt, Learning Management System, Mobile Blackboard, Mobile Learning
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