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A Methodology for Multilingual Automatic Item Generation

Bibliographic Data

ID12120833
AuthorsMark J Gierl (0000-0002-2653-1761, University of Alberta), Hollis Lai (0000-0002-5531-6622, University of Alberta)
Year2016
Volume37
Issue3
Pages39-61
Publication date2016-05-13
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueMesure et évaluation en éducation (JOURNAL)
Journal identifiersISSN: 0823-3993 • E-ISSN: 2368-2000
PublisherConsortium Erudit (PUBLISHER • CA)
DOI10.7202/1036327ar
OpenAlexW2460844011
LanguageEN
References cited7

Testing agencies require large numbers of high-quality items that are produced in a cost-effective and timely manner. Increasingly, these agencies also require items in different languages. In this paper we present a methodology for multilingual automatic item generation (AIG). AIG is the process of using item models to generate test items with the aid of computer technology. We describe a three-step AIG approach where, first, test development specialists identify the content that will be used for item generation. Next, the specialists create item models to specify the content in the assessment task that must be manipulated to produce new items. Finally, elements in the item model are manipulated with computer algorithms to produce new items. Language is added in the item model step to permit multilingual AIG. We illustrate our method by generating 360 English and 360 French medical education items. The importance of item banking in multilingual test development is also discussed

Information retrieval · Item bank · Item response theory · Multilingualism · Natural language processing · Process (computing · Programming language · Psychometrics · Quality (philosophy · Task (project management · Test (biology · Computer Science · Educational Technology and Assessment · Natural Language Processing Techniques · Psychology · Topic Modeling · Artificial Intelligence

Citation velocityhistorical
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