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作者 Williams, Paul W
書名 Assessing Mobile Learning effectiveness and acceptance
國際標準書號 9780549925231
book jacket
說明 309 p
附註 Source: Dissertation Abstracts International, Volume: 69-11, Section: A, page: 4303
Adviser: Edward J. Cherian
Includes supplementary digital materials
Thesis (Ph.D.)--The George Washington University, 2009
The purpose of this study was to assess Mobile Learning (M-Learning) effectiveness vis-a-vis Face-to-Face Learning and to determine the extent to which students used and accepted the M-Learning education delivery methodology. Two research models were employed: (1) a Performance Model, and (2) the Unified Theory of Acceptance and Use of Technology Model (UTAUT). 1
These models were used two answer two research questions: (1) Is the M-Learning Mode of Delivery (MOD) more or less effective than FTF? (2) What are the factors that influence the acceptance and use of M-Learning?
Participants in the Control group (Face-to-Face) outperformed Treatment group participants (M-Learning) on both of two quizzes administered during the study. Face-to-Face participants performed significantly better (9%) in average performance than M-Learning participants on the first quiz ( p=.000; Adjusted R2=.106). Similarly, Face-to-Face participants significantly outperformed M-Learning Mode of Delivery participants by 7% (p=.010; Adjusted R2=.052) on the second quiz. The average increase in performance across both quizzes was 8%
Other than mode of delivery (Face-to-Face or M-Learning), the factors that influenced the acceptance and use of M-Learning were not determined; UTAUT, adapted specifically to measure M-Learning acceptance and use, did not provide as much insight into the M-Learning environment as it had when applied to other technology contexts
1Viswanath Venkatesh, et al., "User Acceptance of Information Technology: Toward A Unified View" MIS Quarterly 27, no. 3 (September 2003)
School code: 0075
Host Item Dissertation Abstracts International 69-11A
主題 Education, Technology of
Information Science
Alt Author The George Washington University. Information Systems Technology
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