Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
Representational and advisory guidance for students learning scientific inquiry
Smart machines in education
Architectures for Computer Supported Collaborative Learning
ICALT '01 Proceedings of the IEEE International Conference on Advanced Learning Technologies
CSCL '05 Proceedings of th 2005 conference on Computer support for collaborative learning: learning 2005: the next 10 years!
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
Analysing graphic-based electronic discussions: evaluation of students’ activity on digalo
EC-TEL'06 Proceedings of the First European conference on Technology Enhanced Learning: innovative Approaches for Learning and Knowledge Sharing
Toward legal argument instruction with graph grammars and collaborative filtering techniques
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
An Analysis and Feedback Infrastructure for Argumentation Learning Systems
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
Assisting students with argumentation plans when solving problems in CSCL
Computers & Education
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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Argumentation is a key research area within CSCL. Yet, while many empirical studies investigating the educational benefits of various forms of collaborative argumentation have been conducted, there has not been much work done towards developing generic and reusable software architectures for collaborative argumentation that have the potential to reduce the development time for argumentation learning systems. This paper proposes a general architecture for intelligently supported collaborative argumentation systems.