Data-driven learning a výuka češtiny jako cizího jazyka

Title in English Data-driven learning and teaching Czech as a foreign language


Year of publication 2012
Type Article in Periodical
Magazine / Source CASALC Review
MU Faculty or unit

Faculty of Arts

Field Linguistics
Keywords Data-driven learning (DDL); language teching methods; corpus linguistics; Czech National Corpus; Czech as a foreign language
Description The aim of this paper is to present a method called Data-driven learning (DDL) and to introduce its possible use in teaching Czech as a foreign language. This method connects language teaching with corpus linguistics and brings a lively and authentic language into the classroom. Two main fields are described: 1. Creating corpus-based teaching materials (e.g. collocations, model sentences), 2. The tasks and questions which can be asked in direct use of corpus inteface. The exploitation of Czech National Corpus tools will be mentioned as well as the solution of possible problems in application DDL into teaching Czech language.
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