Groupware and social dynamics: eight challenges for developers
Communications of the ACM
Applications of simulated students: an exploration
Journal of Artificial Intelligence in Education
Simulating a learning companion in reciprocal tutoring systems
CSCL '95 The first international conference on Computer support for collaborative learning
A goal-based scenario for high school students
Communications of the ACM
The Architecture of Cognition
Syntactic-Conceptual Analysis of Sentences in Spanish Using a Restricted Lexicon for Disambiguation
MICAI '00 Proceedings of the Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
A Coached Collaborative Learning Environment for Entity-Relationship Modeling
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
An Adaptive, Collaborative Environment to Develop Good Habits in Programming
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
How Can We Form Effective Collaborative Learning Groups?
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
Should I Teach My Computer Peer? Some Issues in Teaching a Learning Companion
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
Enhancing collaborative learning using a simulated student agent
Enhancing collaborative learning using a simulated student agent
UM '07 Proceedings of the 11th international conference on User Modeling
Commentary on Kurt VanLehn's "The Behavior of Tutoring Systems"
International Journal of Artificial Intelligence in Education
International Journal of Artificial Intelligence in Education
Using Machine Learning Techniques to Analyze and Support Mediation of Student E-Discussions
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Impact of initiative on collaborative problem solving
HLT-SRWS '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Student Research Workshop
KSC-PaL: a peer learning agent that encourages students to take the initiative
EdAppsNLP '09 Proceedings of the Fourth Workshop on Innovative Use of NLP for Building Educational Applications
Collaborative student profile to support assistance in CSCL environment
Proceedings of the 2008 Euro American Conference on Telematics and Information Systems
Knowledge Co-construction and Initiative in Peer Learning Interactions
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
An overview of CSCL methodologies
ICLS '10 Proceedings of the 9th International Conference of the Learning Sciences - Volume 1
Supporting Collaborative Learning and E-Discussions Using Artificial Intelligence Techniques
International Journal of Artificial Intelligence in Education
Proceedings of the 2011 ACM Symposium on Applied Computing
KSC-PaL: a peer learning agent
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part II
A constraint-based collaborative environment for learning UML class diagrams
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Group and students profiles to support collaborative learning in a multiagent model
ADNTIIC'11 Proceedings of the Second international conference on Advances in New Technologies, Interactive Interfaces and Communicability
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This paper describes a Simulated Student architecture designed to detect and avoid three situations that decrease the benefits of learning in collaboration. These are off-topic conversations, students with passive behaviour and problems related to students' learning. In order to check the efficiency of the model in a real case a Simulated Student, which has the features described in the model, was added to a collaborative, synchronous system for learning programming. This paper describes the experiment undertaken to test the efficiency of the Simulated Student at correcting the three negative situations. The experiment showed that in the majority of the situations the Simulated Student worked correctly, thus proving that the model proposed is adequate in the avoidance of negative situations.