Title
Applying the Technology Acceptance Model to Evaluate the Learning Companion Recommendation System on Facebook
Abstract
Facebook is currently the most popular social networking site, and it has been used in a number of collaborative learning applications. In a collaborative learning environment, an adaptive learning companion could help learners understand the learning content and share knowledge, as well as increase creativity and facilitate the beneficial effects of collaborative learning. In this study, a learning companion recommendation system (LCRS) is developed on Facebook, which supports mobile collaborative learning. The system collects friends' profile data automatically according to their learning needs, such as interests and professional abilities. Moreover, the technology acceptance model and partial least squares regression are used to investigate learners' acceptance of the LCRS for learning activities
Year
DOI
Venue
2012
10.1109/T4E.2012.36
T4E
Keywords
Field
DocType
learning companion recommendation system,increase creativity,companion recommendation system,mobile collaborative learning,technology acceptance model,share knowledge,collaborative learning,beneficial effect,profile data,popular social networking site,professional ability,databases,groupware,adaptive learning,recommender systems
Team learning,Educational technology,World Wide Web,Open learning,Learning sciences,Collaborative learning,Computer science,Knowledge management,Synchronous learning,Blended learning,Multimedia,Adaptive learning
Conference
Citations 
PageRank 
References 
5
0.57
7
Authors
4
Name
Order
Citations
PageRank
Hsin-Chin Chen1683.76
Chia-Cheng Hsu2465.33
Cheng-Hsien Chang3161.41
Yueh-Min Huang42455278.09