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

DOI

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.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 2014 International Conference on Education, Management and Computing Technology
PB  - Atlantis Press
SP  - 115
EP  - 118
SN  - 1951-6851
UR  - https://doi.org/10.2991/icemct-14.2014.27
DO  - 10.2991/icemct-14.2014.27
ID  - Ma2014/06
ER  -