Title: Automatic generation of multiple choice questions for e-assessment

Authors: A. Santhanavijayan; S.R. Balasundaram; S. Hari Narayanan; S. Vinod Kumar; V. Vignesh Prasad

Addresses: Department of Computer Science and Engineering, National Institute of Technology, Tiruchirappalli 620 015, Tamil Nadu, India ' Department of Computer Science and Engineering, National Institute of Technology, Tiruchirappalli 620 015, Tamil Nadu, India ' Department of Computer Science and Engineering, National Institute of Technology, Tiruchirappalli 620 015, Tamil Nadu, India ' Department of Computer Science and Engineering, National Institute of Technology, Tiruchirappalli 620 015, Tamil Nadu, India ' Department of Computer Science and Engineering, National Institute of Technology, Tiruchirappalli 620 015, Tamil Nadu, India

Abstract: It is important for students to expertise in their field of study, because there is an agile change in all the domains. Even though resources are available to learn, proper assessment helps them to improve upon their knowledge. In this paper, an automatic generation of multiple choice questions on any user-defined domain is proposed. It first extracts text relevant to the given domain from the web and summarises using fireflies-based preference learning. The sentences in the summary are transformed into stem for the MCQs. The distractors are generated using similarity metrics such as hypernyms and hyponyms. The system also generates analogy questions to test the verbal ability of the students.

Keywords: analogy; e-assessment; fireflies-based preference learning; hypernym; hyponym; MCQ; natural language processing; ontology; parts-of-speech; summariser.

DOI: 10.1504/IJSISE.2017.084571

International Journal of Signal and Imaging Systems Engineering, 2017 Vol.10 No.1/2, pp.54 - 62

Received: 01 Feb 2017
Accepted: 15 Feb 2017
Published online: 14 Jun 2017 *

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