Information ecology of collaborations in educational settings: influence of tool
CSCL '97 Proceedings of the 2nd international conference on Computer support for collaborative learning
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Preface: documenting collaborative learning: What should be measured and how?
Computers & Education - Documenting collaborative interactions: Issues and approaches
Teachers' pedagogical designs for technology-supported collective inquiry: a national case study
Computers & Education - Collaborative learning environments
Teachers' pedagogical designs for technology-supported collective inquiry: A national case study
Computers & Education - Collaborative learning environments
Exploring the lack of dialogue in computer-supported collaborative learning
CSCL '02 Proceedings of the Conference on Computer Support for Collaborative Learning: Foundations for a CSCL Community
Supporting interaction outside of class: anchored discussions vs. discussion boards
CSCL '02 Proceedings of the Conference on Computer Support for Collaborative Learning: Foundations for a CSCL Community
Investigating knowledge creation technology in an engineering course
Computers & Education
Review: informal logic dialogue games in human-computer dialogue
The Knowledge Engineering Review
Journal of Computer Assisted Learning
Exploring asynchronous and synchronous tool use in online courses
Computers & Education
| Hi-index | 0.00 |
Threads in a computer conferencing systems develop in seemingly unpredictable ways. Each time someone starts a new discussion or extends an existing line of thought, there is a subtle shift in the intellectual spotlight ñ a shift that influences the contribution patterns of subsequent users. Active threads may unexpectedly fade to the background, and older, inactive threads may regain centre stage. Yet within this complex ebb and flow, there are certain indicators that help predict a thread's future. An analysis of the 1571 threads in 7 distance education conferences reveals patterns of development that can be used to statistically assign growth probabilities to individual threads. Possible applications of these findings are discussed.