The Design of Tests with Multiple Choice Questions Automatically Generated from Essays in a Learner Corpus

Olga Vinogradova () and Nikita Login ()
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Olga Vinogradova: National Research University Higher School of Economics
Nikita Login: National Research University Higher School of Economics

HSE Working papers from National Research University Higher School of Economics

Abstract: Learner corpora have great potential as sources of educational material. If a corpus contains annotations of mistakes in student works, it can be of use for the recognition and analysis of the most common error patterns. The error-annotation system of the learner corpus REALEC makes it possible to automatically generate different types of test questions and thus form exercises from the corpus data. This paper describes the creation of an automatic multiple-choice generator which works with the specific types of the student errors annotated in the texts of examination essays

Keywords: learner corpus; computer-assisted language learning; multiple choice questions; English as a second language; corpus methods in language teaching (search for similar items in EconPapers)
JEL-codes: Z19 (search for similar items in EconPapers)
Pages: 16 pages
Date: 2017
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Published in WP BRP Series: Linguistics / LNG, December 2017, pages 1-16

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