Data-driven learning and language learning theories
Whither the twain shall meet
- Author(s): Lynne Flowerdew 1
-
View Affiliations Hide AffiliationsAffiliations:1 formerly of the Centre for Language Education Hong Kong University of Science and Technology
- Source: Multiple Affordances of Language Corpora for Data-driven Learning , pp 15-36
- Publication Date May 2015
This chapter discusses various language learning theories underpinning data-driven learning, namely the noticing hypothesis, constructivist learning and Vygotskyan sociocultural theories. A variety of pedagogic initiatives are used to illustrate the relationship between data-driven learning and language learning theories. The paper also reports on experimental studies which examine students’ performance in relation to these three language learning theories as well as learning style preferences. The general consensus from these experimental studies is that while data-driven learning shows promise, additional larger-scale studies of a longitudinal nature are needed to give a more in-depth picture of its beneficial effects.
- Affiliations: 1: formerly of the Centre for Language Education Hong Kong University of Science and Technology
-
From This Site
/content/books/9789027268716-scl.69.02flodcterms_subject,pub_keyword-contentType:Journal105
/content/books/9789027268716-scl.69.02flo
dcterms_subject,pub_keyword
-contentType:Journal
10
5
Chapter
content/books/9789027268716
Book
false