Proceedings of the 2014 International Conference on Education, Management and Computing Technology

Self-access Learning and Assessment of Foreign Language Vocabulary by Corpus-based Data-driven

Authors
Zhiyan Ma
Corresponding Author
Zhiyan Ma
Available Online June 2014.
DOI
https://doi.org/10.2991/icemct-14.2014.27How to use a DOI?
Keywords
corpus, data-driven, foreign language vocabulary, self-access learning
Abstract
The application of corpus-based data-driven in teaching is more and more common, which not only builds a platform for foreign language learning, but also provides self-access learning for students. The corpus-based data-driven and self-access learning concept requires students to learn language in relatively real language environment. This paper firstly states corpus-based data-driven learning methods and concept of self-access learning, then discusses the impact of data-driven on foreign language vocabulary learning. In the end, it analyzes the application of corpus-based data-driven in foreign language vocabulary learning. I hope that this paper could give certain reference for teachers and students.
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Proceedings
2014 International Conference on Education, Management and Computing Technology (ICEMCT-14)
Part of series
Advances in Intelligent Systems Research
Publication Date
June 2014
ISBN
978-94-6252-016-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/icemct-14.2014.27How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zhiyan Ma
PY  - 2014/06
DA  - 2014/06
TI  - Self-access Learning and Assessment of Foreign Language Vocabulary by Corpus-based Data-driven
BT  - 2014 International Conference on Education, Management and Computing Technology (ICEMCT-14)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icemct-14.2014.27
DO  - https://doi.org/10.2991/icemct-14.2014.27
ID  - Ma2014/06
ER  -