The determinants of web page viewing behavior: an eye-tracking study
Proceedings of the 2004 symposium on Eye tracking research & applications
Group Cognition: Computer Support for Building Collaborative Knowledge (Acting with Technology)
Group Cognition: Computer Support for Building Collaborative Knowledge (Acting with Technology)
Towards a design theory for online communities
Proceedings of the 4th International Conference on Design Science Research in Information Systems and Technology
Brewing up citizen engagement: the coffee party on facebook
Proceedings of the 5th International Conference on Communities and Technologies
Relief work after the 2010 Haiti earthquake: leadership in an online resource coordination network
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
Bridging the gap from knowledge to action: putting analytics in the hands of academic advisors
Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
Discovering habits of effective online support group chatrooms
Proceedings of the 17th ACM international conference on Supporting group work
Creating a model of the dynamics of socio-technical groups
User Modeling and User-Adapted Interaction
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A 16-student, completely online software design course was studied using social network analysis and grounded theory techniques. Bi-directional (read and post) log data of user activity was recorded to understand how small group networks change over time with activity type (individual, peer-to-peer, and small group). Network structure was revealed through sociograms and triangulated with discussion board topics and interview data on group experience. Results show significant differences in network structure across activity types, which are supported by open coding and axial coding of the text of member discussions and editing patterns of member work products. It is also indicated that bi-directional log data, contextualized to specific activities and artifacts, revealed a more accurate and complete description of small group activity than ordinary, uni-directional log data would have. Our findings have implications for tool development revealing group structure and software design for completely online group work.