Next generation of e-assessment: automatic generation of questions Online publication date: Wed, 31-Dec-2014
by T. Alsubait; B. Parsia; U. Sattler
International Journal of Technology Enhanced Learning (IJTEL), Vol. 4, No. 3/4, 2012
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.
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