Information Retrieval
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
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
A Simulated Student Can Improve Collaborative Learning
International Journal of Artificial Intelligence in Education
Computer supported moderation of e-discussions: the ARGUNAUT approach
CSCL'07 Proceedings of the 8th iternational conference on Computer supported collaborative learning
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
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
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
An architecture for intelligent CSCL argumentation systems
CSCL'09 Proceedings of the 9th international conference on Computer supported collaborative learning - Volume 2
CSCL'09 Proceedings of the 9th international conference on Computer supported collaborative learning - Volume 1
Use of Semantics to Build an Academic Writing Community Environment
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
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
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
Exploring creative thinking in graphically mediated synchronous dialogues
Computers & Education
Towards identifying unresolved discussions in student online forums
IUNLPBEA '10 Proceedings of the NAACL HLT 2010 Fifth Workshop on Innovative Use of NLP for Building Educational Applications
Supporting Collaborative Learning and E-Discussions Using Artificial Intelligence Techniques
International Journal of Artificial Intelligence in Education
Workflow-based assessment of student online activities with topic and dialogue role classification
AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
Computational workflows for assessing student learning
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part II
A network analysis of student groups in threaded discussions
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part II
Analytics of collaborative planning in Metafora: architecture, data, and analytic methods
Proceedings of the Third International Conference on Learning Analytics and Knowledge
Scaffolding student online discussions using past discussions: PedaBot studies
Artificial Intelligence Review
Hi-index | 0.00 |
Students are starting to use networked visual argumentation tools to discuss, debate, and argue with one another about topics presented by a teacher. However, this development gives rise to an emergent issue for teachers: how do they support students during these e-discussions? The ARGUNAUT system aims to provide the teacher (or moderator) with tools that will facilitate effective moderation of several simultaneous e-discussions. Awareness Indicators, provided as part of a moderator's user interface, help monitor the progress of discussions on several dimensions (e.g., critical reasoning). In this paper we discuss preliminary steps taken in using machine learning techniques to support the Awareness Indicators. Focusing on individual contributions (single objects containing textual content, contributed in the visual workspace by students) and sequences of two linked contributions (two objects, the connection between them, and the students' textual contributions), we have run a series of machine learning experiments in an attempt to train classifiers to recognize important student actions, such as using critical reasoning and raising and answering questions. The initial results presented in this paper are encouraging, but we are only at the beginning of our analysis.