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A genetic algorithm for generating test from a question bank

✍ Scribed by Mehmet Yildirim

Publisher: John Wiley and Sons
Year: 2009
Tongue: English
Weight: 126 KB
Volume: 18
Category: Article
ISSN: 1061-3773
DOI: 10.1002/cae.20260

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✦ Synopsis

Abstract

The purpose of this study is to provide academicians with efficient means of generating tests with multiple‐choice questions from a question bank. Genetic algorithm (GA) is used to optimize predefined criteria for selecting questions from the question bank. GA is a very useful optimization algorithm because of its versatility. However, crossover and mutation operator of standard GA cannot be directly usable for generating test, since integer‐coded individuals have to be used and these operators produce duplicated genoms on individuals. In this study, a mutation operation is proposed for preventing the duplications on crossovered individuals. The experiments and analysis show that GA with proposed mutation operator is successful as approximately 100%. © 2009 Wiley Periodicals, Inc. Comput Appl Eng Educ 18: 298–305, 2010; Published online in Wiley InterScience (www.interscience.wiley.com); DOI 10.1002/cae.20260

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