Title: Next generation of e-assessment: automatic generation of questions

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

Addresses: 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

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.

Keywords: future technologies; e-assessment; automatic question generation; ontology; analogy questions; similarity; corpus-based evaluation; electronic assessment; automatic assessment generation; ontologies; generated questions; simulation; real students; technology enhanced learning.

DOI: 10.1504/IJTEL.2012.051580

International Journal of Technology Enhanced Learning, 2012 Vol.4 No.3/4, pp.156 - 171

Received: 17 Mar 2012
Accepted: 11 Sep 2012
Published online: 31 Dec 2014 *

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