Literaturnachweis - Detailanzeige
Autor/inn/en | Kitao, S. Kathleen; Kitao, Kenji |
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Titel | Data-Driven Learning of Speech Acts Based on Corpora of DVD Subtitles |
Quelle | (2013), (6 Seiten)
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Monographie |
Schlagwörter | Speech Acts; Computational Linguistics; Language Research; Personal Autonomy; Language Usage; Teaching Methods; Second Language Learning; Second Language Instruction; Language Patterns; Logical Thinking; Grammar; Vocabulary Development; Learning Processes; Data |
Abstract | Data-driven learning (DDL) is an inductive approach to language learning in which students study examples of authentic language and use them to find patterns of language use. This inductive approach to learning has the advantages of being learner-centered, encouraging hypothesis testing and learner autonomy, and helping develop learning skills. The approach has grown out of corpus linguistics, and it has been used to help students learn grammar and vocabulary usage. It is also possible to use it for teaching speech acts. In this paper, we contrast inductive and deductive learning and discuss an example of an exercise using data-driven learning to learn about the expressions and strategies used in apologies. [For full proceedings, see ED565044.] (As Provided). |
Anmerkungen | Research-publishing.net. La Grange des Noyes, 25110 Voillans, France. e-mail: info@research-publishing.net; Web site: http://research-publishing.net |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2020/1/01 |