Structuring computer-mediated communication systems to avoid information overload
Communications of the ACM
Intelligent information-sharing systems
Communications of the ACM
A foundation for the study of group decision support systems
Management Science
Plans and situated actions: the problem of human-machine communication
Plans and situated actions: the problem of human-machine communication
Design environments for constructive and argumentative design
CHI '89 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
End-user modifiability in design environments
CHI '90 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Groupware: some issues and experiences
Communications of the ACM
What does the design of effective CSCL require and how do we study its effects?
ACM SIGCUE Outlook - Special issue on computer supported collaborative learning
Transparency and awareness in a real-time groupware system
UIST '92 Proceedings of the 5th annual ACM symposium on User interface software and technology
Awareness and coordination in shared workspaces
CSCW '92 Proceedings of the 1992 ACM conference on Computer-supported cooperative work
Faltering from ethnography to design
CSCW '92 Proceedings of the 1992 ACM conference on Computer-supported cooperative work
A small matter of programming: perspectives on end user computing
A small matter of programming: perspectives on end user computing
Wizard of Oz studies: why and how
IUI '93 Proceedings of the 1st international conference on Intelligent user interfaces
Agents that reduce work and information overload
Communications of the ACM
Experiments with Oval: a radically tailorable tool for cooperative work
ACM Transactions on Information Systems (TOIS)
A user interface integrating adaptability and adaptivity
Adaptive user support
Support for workspace awareness in educational groupware
CSCL '95 The first international conference on Computer support for collaborative learning
Monitoring computer-based collaborative problem solving
Journal of Artificial Intelligence in Education
Helping users program their personal agents
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
TeamRooms: network places for collaboration
CSCW '96 Proceedings of the 1996 ACM conference on Computer supported cooperative work
Integrating user interface agents with conventional applications
IUI '98 Proceedings of the 3rd international conference on Intelligent user interfaces
Three levels of end-user tailoring: customization, integration, and extension
Computers and design in context
E-Learning: Strategies for Delivering Knowledge in the Digital Age
E-Learning: Strategies for Delivering Knowledge in the Digital Age
An Instructional Assistant Agent for Distributed Collaborative Learning
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
ICCE '02 Proceedings of the International Conference on Computers in Education
Collaborative technology for facilitating progressive inquiry: future learning environment tools
CSCL '99 Proceedings of the 1999 conference on Computer support for collaborative learning
International Journal of Information Systems in the Service Sector
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We have developed and integrated software agents with two educational groupware systems (TeamWave Workplace and FLE), using evolutionary prototyping and empirical-based design as development techniques. The resulting prototypes of pedagogical agents (CoPAS, SA-Agent and RuleEditor) provide learners and teachers with increasingly domain-specific support for distributed collaborative learning activities. Employing the evolutionary approach has enabled us to build and evaluate early prototypes of complex systems with cost-effective techniques and involving users in this process helped us to constrain the design space and direct further development. CoPAS is a simulation experiment carried out with the Wizard of Oz technique, SA-Agent is a pedagogical agent integrated with an open-source learning environment, and RuleEditor is a customizer for the SA-Agent. The agents collect statistical information on user activity and analyze that information based on principles of collaboration and knowledge building. The results are presented as advice in the user interface of the learning environments to promote students' reflection on their collaboration and knowledge-building activities. If instructors disagree about the phrasing of the advice or the frequency of intervention, they can change it using the RuleEditor agent customizer.