Towards Automated Analysis of Student Arguments

  • Nancy L. Green
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7926)


This paper presents the approach to automated analysis of student argument diagrams to be used in the Genetics Argumentation Inquiry Learning (GAIL) system. Student arguments are compared to expert arguments automatically generated using an existing argument generator developed previously for the GenIE Assistant project. A prototype argument analyzer was implemented for GAIL. Weaknesses in student arguments are identified using non-domain-specific, non-content-specific rules that recognize common error types.


Educational Argumentation Systems Genetics Education 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Nancy L. Green
    • 1
  1. 1.University of North Carolina GreensboroGreensboroUSA

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