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Argumentation Scheme-Based Argument Generation to Support Feedback in Educational Argument Modeling Systems

  • Nancy L. Green
Article

Abstract

This paper describes an educational argument modeling system, GAIL (Genetics Argumentation Inquiry Learning). Using GAIL’s graphical interface, learners can select from possible argument content elements (hypotheses, data, etc.) displayed on the screen with which to construct argument diagrams. Unlike previous systems, GAIL uses domain-independent argumentation schemes to generate expert arguments as a knowledge source. By comparing the learner’s argument diagram to a generated argument, GAIL can provide problem-specific feedback on both the structure and meaning of the learner’s argument, e.g., that the learner’s argument contains an irrelevant premise. To generate arguments, the argumentation schemes are instantiated from causal domain models specified by lesson authors. Thus, this approach to generating expert arguments has the potential to be used in other domains. In this paper we describe use of GAIL’s Authoring Tool to create the domain model and content elements to be provided for a specific lesson, how expert arguments are generated in GAIL, and how the feedback is produced. As GAIL is a work-in-progress, the paper also describes plans for the next design iteration.

Keywords

Educational argument modeling systems Formative feedback Argumentation schemes Critical questions 

Notes

Acknowledgments

Former graduate students Mark Hinshaw, Carl Martensen, Meghana Narasimhan, and Tshering Tobgay contributed to the most recent implementation of GAIL for their MS Projects. Former graduate students Benjamin Wyatt and Chris Cain also contributed to the implementation of GAIL. Wyatt and Martensen received support from a UNCG Regular Faculty grant and Cain received support from the Computer Science Department. Dr. Malcolm Schug of the UNCG Biology Department has provided helpful feedback on the project.

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Copyright information

© International Artificial Intelligence in Education Society 2016

Authors and Affiliations

  1. 1.Department of Computer ScienceUniversity of North Carolina GreensboroGreensboroUSA

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