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

Author

Listed:
  • Olga Vinogradova

    (National Research University Higher School of Economics)

  • Nikita Login

    (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

Suggested Citation

  • Olga Vinogradova & Nikita Login, 2017. "The Design of Tests with Multiple Choice Questions Automatically Generated from Essays in a Learner Corpus," HSE Working papers WP BRP 60/LNG/2017, National Research University Higher School of Economics.
    • Handle: RePEc:hig:wpaper:60/lng/2017
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    More about this item

    Keywords

    learner corpus; computer-assisted language learning; multiple choice questions; English as a second language; corpus methods in language teaching;
    All these keywords.

    JEL classification:

    • Z19 - Other Special Topics - - Cultural Economics - - - Other

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