An Analysis and Feedback Infrastructure for Argumentation Learning Systems

Authors:
Oliver Scheuer;Bruce M. McLaren;Frank Loll;Niels Pinkwart
Affiliations:
German Research Center for Artificial Intelligence (DFKI), Germany;German Research Center for Artificial Intelligence (DFKI), Germany and Carnegie Mellon University, Pittsburgh, PA, U.S.A.;Clausthal University of Technology, Germany;Clausthal University of Technology, Germany
Venue:
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
Year:
2009

Citing 5
Cited 1

Representational and advisory guidance for students learning scientific inquiry

Smart machines in education
The Behavior of Tutoring Systems

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
An architecture for intelligent CSCL argumentation systems

CSCL'09 Proceedings of the 9th international conference on Computer supported collaborative learning - Volume 2

Scaffolding collaborative learning opportunities: integrating microworld use and argumentation

UMAP'11 Proceedings of the 19th international conference on Advances in User Modeling

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we discuss design considerations and our plans to develop a generalized framework for intelligent support in educational argumentation systems. Our goal is to develop a framework that will support the development of argumentation learning systems across a variety of domains (e.g., the law, ethics).