Generation of Big Data from Behaviors of Web-based Foreign Language Learners in China

DOI

10.2991/icca-16.2016.42How to use a DOI?

Keywords

Big data, Foreign language learning, Tin Can API

Abstract

The enormous amount of published multimedia resources for foreign language learning on the internet in China belong to content data, which do not reflect any information about learners. Current content browsing applications support recording basic learning behaviors, such as login time, online period and post content, but do not record details like mouse movements, mouse wheel scrolls, or GPS locations of learners. These detailed behaviors of learners provide essential information to analyze the learning process. Therefore, the big data technology applied in foreign language learning should focus on gathering and data-mining the detailed behavioral data from learners rather than improving the amount or the high-definition of content data provided for learning. Tin Can API provides a solution to synchronize the behavioral data of learner individuals across different learning platforms.

Copyright

© 2016, 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  - Xiangyu Chen
AU  - Meihua Chen
PY  - 2016/01
DA  - 2016/01
TI  - Generation of Big Data from Behaviors of Web-based Foreign Language Learners in China
BT  - Proceedings of the 2016 International Conference on Intelligent Control and Computer Application
PB  - Atlantis Press
SP  - 183
EP  - 186
SN  - 2352-538X
UR  - https://doi.org/10.2991/icca-16.2016.42
DO  - 10.2991/icca-16.2016.42
ID  - Chen2016/01
ER  -