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ERIC Number: EJ1007833
Record Type: Journal
Publication Date: 2013-Apr
Pages: 16
Abstractor: As Provided
Reference Count: 0
ISBN: N/A
ISSN: ISSN-0360-1315
Predicting User Acceptance of Collaborative Technologies: An Extension of the Technology Acceptance Model for E-Learning
Cheung, Ronnie; Vogel, Doug
Computers & Education, v63 p160-175 Apr 2013
Collaborative technologies support group work in project-based environments. In this study, we enhance the technology acceptance model to explain the factors that influence the acceptance of Google Applications for collaborative learning. The enhanced model was empirically evaluated using survey data collected from 136 students enrolled in a full-time degree program that used Google Applications to support project work. According to the research results, determinants of the technology acceptance model are the major factors influencing the adoption of the technology. In addition, the subjective norm represented by peers is found to significantly moderate the relationship between attitude and intention toward the technology. However, our results do not show a significant effect of subjective norms represented by instructors and mass media on students' intentions to use the technology. The ability to share information in the collaborative learning environment is found to influence intention and behavior toward the Google Applications platform. (Contains 5 figures and 5 tables.)
Elsevier. 3251 Riverport Lane, Maryland Heights, MO 63043. Tel: 800-325-4177; Tel: 314-447-8000; Fax: 314-447-8033; e-mail: JournalCustomerService-usa@elsevier.com; Web site: http://www.elsevier.com
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A