Understanding the Roles of Knowledge Sharing and Trust in Online Learning Communities

Thoms, Brian; Garrett, Nathan; Herrera, Jesús Cisneros; Ryan, Terry

doi:10.1109/hicss.2008.481

Cited by 15 publications

(6 citation statements)

References 28 publications

(24 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the academic social network, knowledge sharing (i.e., paper sharing) between the authors and the readers are also influenced by two factors. On the one hand, drawing on social learning and social networking theories, Thoms, Garrett, Herrera and Ryan [19] indicate that learner perceives a high levels of value from the trusted users. Sinha and Swearingen [20] point out that the users are more like to accept the recommendations come from the people they trust than some anonymous user who have the similar interests with them.…”

Section: Literature Reviewmentioning

confidence: 99%

“…It is also important for them to build connections with online users have the similar research interests. Previous studies indicate that users are more likely to take the items that come from users who they are trust [19,20] but not the anonymous user who have the similar interests with them. Social relation analysis can quantify the user trust based on their social network closeness.…”

Section: Social Relation Analysismentioning

confidence: 99%

See 1 more Smart Citation

A Novel Personalized Academic Knowledge Sharing System in Online Social Network

Zhao

Zhang

et al. 2018

Proceedings of the 51st Hawaii International Conference on System Sciences

View full text Add to dashboard Cite

Information overload is a major problem for both readers and authors due to the rapid increase in scientific papers in recent years. Methods are proposed to help readers find right papers, but few research focuses on knowledge sharing and dissemination from authors' perspectives. This paper proposes a personalized academic knowledge sharing system that takes advantages of author's initiatives. In our method, we combine the user-level and documentlevel analysis in the same model, it works in two stages: 1) user-level analysis, which is used to profile users in three dimensions (i.e., research topic relevance, social relation and research quality); and 2) document-level analysis, which calculates the similarity between the target article and reader's publications. The proposed method has been implemented in the ScholarMate, which is a popular academic social network. The experiment results show that the proposed method can effectively promote the academic knowledge sharing, it outperforms other baseline methods.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Section: Social Relation Analysismentioning

confidence: 99%

A Novel Personalized Academic Knowledge Sharing System in Online Social Network

Zhao

Zhang

et al. 2018

Proceedings of the 51st Hawaii International Conference on System Sciences

View full text Add to dashboard Cite

show abstract

“…To accommodate varying Internet bandwidth a blended approach to content delivery was adopted, which included both synchronous and/or asynchronous options [6]; [8]; [14]; [29]; [41]; [42]; [44]; [45]; [46]; [48].…”

Section: Accessible Cyberlearningmentioning

confidence: 99%

Evaluating the Role of Face-to-Face Residencies in Cross-National, Accessible Cyberlearning

Ellis

Arnone

Levinson

et al. 2014

2014 47th Hawaii International Conference on System Sciences

View full text Add to dashboard Cite

This paper provides an analysis of the role faceto-face residencies play in online, cross-national, graduate degree programs. In 2011, taking a cyberlearning approach, the IDPP developed the world's first fully online masters program in international and comparative disability policy, focused on students with disabilities in the ten countries of Southeast Asia. Using this online masters program as a case study, and incorporating pre-and post-residency survey data, the paper explores the impact of its face-to-face residency in building a sense of community, achieving learning outcomes, and highlight the role of culture and trust within the student cohort as a foundation for the online graduate learning experience. Finally, the paper discusses best practices in evaluating online graduate degree programs, emphasizing the importance of an evaluation committee and an iterative evaluation model. Using pioneering research on evaluating accessible cyberlearning, it identifies what works in such settings as well as identifying future research needs.

show abstract

“…However, as identified in Thoms et al [5,6,7], online social networking (OSN) software has shown to be more effective at replicating face-toface learning environments, resulting in higher perceived levels of interaction and community and overall levels of course satisfaction. OSN software has also shown success in academic communities by facilitating norms of reciprocity, building trust and providing new opportunities for collective action [8,9,10]. Furthermore, OSN software helps students develop shared understandings and mutual support and discussion spaces that can address problems students have with course material [11,12].…”

Section: Introductionmentioning

confidence: 99%