Next generation of e-assessment: automatic generation of questions

  • Authors:
  • T. Alsubait;B. Parsia;U. Sattler

  • Affiliations:
  • School of Computer Science, The University of Manchester, Manchester, M13 9PL, UK;School of Computer Science, The University of Manchester, Manchester, M13 9PL, UK;School of Computer Science, The University of Manchester, Manchester, M13 9PL, UK

  • Venue:
  • International Journal of Technology Enhanced Learning
  • Year:
  • 2012

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Abstract

This paper provides a review of the state-of-the-art in automatic assessment generation. The paper focuses on and further develops methods for automatic generation of assessments from ontologies. We describe a novel approach and evaluate it by comparing it to other existing approaches. In addition, we report on our experience to evaluate the generated questions using a corpus-based method to simulate a real student trying to solve the questions.