Social Computing: From Social Informatics to Social Intelligence
IEEE Intelligent Systems
A survey of trust in computer science and the Semantic Web
Web Semantics: Science, Services and Agents on the World Wide Web
Quantitative peer assessment: can students be objective?
ACE '07 Proceedings of the ninth Australasian conference on Computing education - Volume 66
Constructing text:: Wiki as a toolkit for (collaborative?) learning
Proceedings of the 2007 international symposium on Wikis
Wikis in education: is public better?
Proceedings of the 2007 international symposium on Wikis
Weblogging: A study of social computing and its impact on organizations
Decision Support Systems
A model to develop effective virtual teams
Decision Support Systems
Using Wiki technology to support student engagement: Lessons from the trenches
Computers & Education
Expert Systems with Applications: An International Journal
Proceedings of the ACM 2009 international conference on Supporting group work
Virtual worlds - past, present, and future: New directions in social computing
Decision Support Systems
Learning from and with peers: the different roles of student peer reviewing
ITiCSE '09 Proceedings of the 14th annual ACM SIGCSE conference on Innovation and technology in computer science education
Trust representation and aggregation in a distributed agent system
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Crowd-scale interactive formal reasoning and analytics
Proceedings of the 26th annual ACM symposium on User interface software and technology
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In order to deal with new requirements imposed by emerging learning environments following social computing paradigm, we address the problem of assessment of individual student skills, contributions, and activities. Rather then clicking links to launch tools or to view content, such learning environments encourage more of a monitoring mode of operation that is very difficult to sense and record by the software alone. In this paper we propose adoption of peer-assessment approach in order to overcome the obstacle as well as to make the overall solution scalable. We propose a novel method for students peer-assessment based on trust concept. The overall approach is presented and practical experiments are conducted using developed web service. The grade scores determined by the learning peers/students are statistically proven as highly correlated with those marked by the teachers, indicating that approach proposed in this paper may be adopted as a legitimate assessment method.