Case-based reasoning
ACM Computing Surveys (CSUR)
A tree-edit-distance algorithm for comparing simple, closed shapes
SODA '00 Proceedings of the eleventh annual ACM-SIAM symposium on Discrete algorithms
BoosTexter: A Boosting-based Systemfor Text Categorization
Machine Learning - Special issue on information retrieval
Data mining: concepts and techniques
Data mining: concepts and techniques
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Representational and advisory guidance for students learning scientific inquiry
Smart machines in education
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Mining Sequential Patterns: Generalizations and Performance Improvements
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Using Graph Search Techniques for Contextual Colour Retrieval
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Helping a CBR Program Know What It Knows
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Extensionally defining principles and cases in ethics: an AI model
Artificial Intelligence - Special issue on AI and law
Mining with rarity: a unifying framework
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Computational Modeling and Analysis of Knowledge Sharing in Collaborative Distance Learning
User Modeling and User-Adapted Interaction
Using Dialogue Features to Predict Trouble During Collaborative Learning
User Modeling and User-Adapted Interaction
On the collective classification of email "speech acts"
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Supervised clustering with support vector machines
ICML '05 Proceedings of the 22nd international conference on Machine learning
Supporting CSCL with automatic corpus analysis technology
CSCL '05 Proceedings of th 2005 conference on Computer support for collaborative learning: learning 2005: the next 10 years!
YALE: rapid prototyping for complex data mining tasks
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
IEEE Intelligent Systems
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
The class imbalance problem: A systematic study
Intelligent Data Analysis
ICALT '08 Proceedings of the 2008 Eighth IEEE International Conference on Advanced Learning Technologies
Helping Teachers Handle the Flood of Data in Online Student Discussions
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
What's in a Cluster? Automatically Detecting Interesting Interactions in Student E-Discussions
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
Scaffolding On-Line Discussions with Past Discussions: An Analysis and Pilot Study of PedaBot
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
A Simulated Student Can Improve Collaborative Learning
International Journal of Artificial Intelligence in Education
Supporting Collaborative Learning With An Intelligent Web-Based System
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
Profiling Student Interactions in Threaded Discussions with Speech Act Classifiers
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Tutorial Dialogue as Adaptive Collaborative Learning Support
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Who Says Three's a Crowd? Using a Cognitive Tutor to Support Peer Tutoring
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Empowering researchers to detect interaction patterns in e-collaboration
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Computer supported moderation of e-discussions: the ARGUNAUT approach
CSCL'07 Proceedings of the 8th iternational conference on Computer supported collaborative learning
Intuitive moderation styles and beliefs of teachers in CSCL-based argumentation
CSCL'07 Proceedings of the 8th iternational conference on Computer supported collaborative learning
CSCL'07 Proceedings of the 8th iternational conference on Computer supported collaborative learning
Effects of awareness support on moderating multiple parallel E-discussions
CSCL'09 Proceedings of the 9th international conference on Computer supported collaborative learning - Volume 1
Coaching collaboration in a computer-mediated learning environment
CSCL '02 Proceedings of the Conference on Computer Support for Collaborative Learning: Foundations for a CSCL Community
Integrating collaborative concept mapping tools with group memory and retrieval functions
CSCL '02 Proceedings of the Conference on Computer Support for Collaborative Learning: Foundations for a CSCL Community
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
Query-by-example: a data base language
IBM Systems Journal
Scaffolding collaborative learning opportunities: integrating microworld use and argumentation
UMAP'11 Proceedings of the 19th international conference on Advances in User Modeling
LASAD: Flexible representations for computer-based collaborative argumentation
International Journal of Human-Computer Studies
Computers in Human Behavior
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An emerging trend in classrooms is the use of networked visual argumentation tools that allow students to discuss, debate, and argue with one another in a synchronous fashion about topics presented by a teacher. These tools are aimed at teaching students how to discuss and argue, important skills not often taught in traditional classrooms. But how do teachers support students during these e-discussions, which happen at a rapid pace, with possibly many groups of students working simultaneously? Our approach is to pinpoint and summarize important aspects of the discussions (e.g., Are students staying on topic? Are students making reasoned claims and arguments that respond to the claims and arguments of their peers?) and alert the teachers who are moderating the discussions. The key research question raised in this work: Is it possible to automate the identification of salient contributions and patterns in student e-discussions? We present the systematic approach we have taken, based on artificial intelligence (AI) techniques and empirical evaluation, to grapple with this question. Our approach started with the generation of machine-learned classifiers of individual e-discussion contributions, moved to the creation of machine-learned classifiers of pairs of contributions, and, finally, led to the development of a novel AI-based graph-matching algorithm that classifies arbitrarily sized clusters of contributions. At each of these levels, we have run systematic empirical evaluations of the resultant classifiers using actual classroom data. Our evaluations have uncovered satisfactory or better results for many of the classifiers and have eliminated others. This work contributes to the fields of computer-supported collaborative learning and artificial intelligence in education by introducing sophisticated and empirically evaluated automated analysis techniques that combine structural, textual, and temporal data.