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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1075/scl.69...
Part of book or chapter of book . 2015 . Peer-reviewed
Data sources: Crossref
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Data-driven learning and language learning theories

Whither the twain shall meet
Authors: Lynne Flowerdew;

Data-driven learning and language learning theories

Abstract

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.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    79
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
79
Top 1%
Top 10%
Top 10%
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