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But where's the proof? The need for empirical evidence for data-driven learning.
Alex Boulton

But where's the proof? The need for empirical evidence for data-driven learning.

Author / Organization:
Science & Mathematics Published 2007 Verification Pending

Overview & Synopsis

Corpus studies of native speaker and learner language have been influential in informing syllabus design and course content in foreign or second language (L2) teaching. Corpora can also be explored directly by the learner, in what Johns (1991) has called “data-driven learning” (DDL). Such an approach is alleged to have many advantages, including fostering learner autonomy, increasing language awareness and noticing skills, and improving ability to deal with authentic language. Although such theoretical arguments may seem convincing, their power is mitigated by the fact that DDL has yet to filter down into mainstream teaching and learning practices. In other words, it may be fine in theory, but what about in everyday practice? Empirical evidence in support of the theory would seem essential.

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Document Information

Document Title But where's the proof? The need for empirical evidence for data-driven learning.
Author / Organization Alex Boulton
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2007
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-41259
Original Source Link Visit Source Page on hal.science »