Constraint Authoring System: An Empirical Evaluation

  • Authors:

  • Pramuditha Suraweera;Antonija Mitrovic;Brent Martin

  • Affiliations:

  • Intelligent Computer Tutoring Group, Department of Computer Science, University of Canterbury, Private Bag 4800, Christchurch, New Zealand, {pramudi, tanja, brent}@cosc.canterbury.ac.nz;Intelligent Computer Tutoring Group, Department of Computer Science, University of Canterbury, Private Bag 4800, Christchurch, New Zealand, {pramudi, tanja, brent}@cosc.canterbury.ac.nz;Intelligent Computer Tutoring Group, Department of Computer Science, University of Canterbury, Private Bag 4800, Christchurch, New Zealand, {pramudi, tanja, brent}@cosc.canterbury.ac.nz

  • Venue:
  • Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
  • Year:
  • 2007

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Abstract

Evaluation is an integral part of research that provides a true measure of effectiveness. This paper presents a study conducted to evaluate the effectiveness of CAS, a knowledge acquisition authoring system developed for generating the domain knowledge required for constraint-based tutoring systems with the assistance of a domain expert. The study involved a group of novice ITS authors composing domain models for adding two fractions. The results of the study showed that CAS was capable of generating highly accurate knowledge bases with considerably less effort than the effort required in manual composition.