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Automatic Generation of Students’ Conceptual Models from Answers in Plain Text

  • D. Pérez-Marín
  • E. Alfonseca
  • P. Rodríguez
  • I. Pascual-Nieto
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4511)

Abstract

Recently, we have introduced a new procedure to automatically generate students’ conceptual models to assist teachers in finding out their students’ main misconceptions and lack of concepts, from their interaction with an automatic and adaptive free-text scoring system. In this paper, we present an improvement of this procedure: the models can be built from the students’ answers in plain text and they refer not only to one particular student but to the whole class. We also introduce a new tool called COMOV (COnceptual MOdels Viewer) to display the models as concept maps, tables, bar charts or text summaries. Finally, we provide an evaluation of this new approach.

Keywords

Conceptual Model Automatic Generation Plain Text Anaphora Resolution Topic Concept 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • D. Pérez-Marín
    • 1
  • E. Alfonseca
    • 1
    • 2
  • P. Rodríguez
    • 1
  • I. Pascual-Nieto
    • 1
  1. 1.Computer Science Department, Universidad Autonoma de Madrid 
  2. 2.Precision and Intelligence Laboratory, Tokyo Institute of Technology 

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