Type of Document	Dissertation
Author	Donaldson, Robin Lee
Author's Email Address	rcl3109@my.fsu.edu
URN	etd-05312011-074842
Title	Student Acceptance Of Mobile Learning
Degree	Doctor of Philosophy
Department	Communication, School of; Communication Science and Disorders, School of; and the Library and Inform
Advisory Committee	Advisor Name Title Gary Burnett Committee Chair Lisa Tripp Committee Member Mia Liza A. Lustria Committee Member Allan Jeong University Representative
Keywords	educational technology technology innovation technology acceptance voluntariness of use self management of learning UTAUT TAM mobile learning mobile perceived playfulness
Date of Defense	2011-04-29
Availability	unrestricted
Abstract Mobile devices with Internet capabilities and applications have dramatically increased the convenience of accessing information for community college students. This study uses technology acceptance theory as a theoretical framework to examine the determinants associated with community college students’ behavioral intention to use of mobile learning and mobile library resources. The acceptance of mobile learning by students and educators is critical to the successful implementation of mobile learning systems therefore it is important to understand the factors that affect student intentions to use mobile learning. This research is based on relevant technology acceptance literature and the the Unified Theory of Acceptance and Use of Technology (UTAUT). The purpose of this study is to test the determinants of the behavioral intention to use mobile learning by community college students and to discover if there exist either age or gender differences in the acceptance of mobile learning. The results indicate that performance expectancy, social influence, perceived playfulness of learning, and voluntariness of use were all significant determinants of behavioral intention to use mobile learning. Effort expectancy and self-management were not found to be significant predictor variables. This research provides useful information in understanding the drivers of acceptance for mobile learning in order to take proactive interventions for students that may be less inclined to adopt mobile learning.
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