Data-Driven Learning: Applications and Implications

摘要：

In the past two decades, with the development of corpus linguistics, data-driven learning (DDL), an approach to using corpus data for language learning and teaching, has begun to arouse increasing interest of EFL teachers. This paper aims to provide a comprehensive review of existing research on DDL, with a focus on its application in EFL classrooms. It is found that most previous studies primarily concentrate on proposing various methods of using concordance results for instruction, without investigating the actual effectiveness of DDL for language learning and teaching. The author of this paper argues that research on DDL is still in its experimental stage, and more studies need to be undertaken to verify the possibility, feasibility, and effectiveness of its application into language classrooms. Pedagogical implications of adopting DDL and scope for future research are proposed.

关键词： corpus linguistics data-driven learning corpora concordance effectiveness

作者: Zhang Yanyan

作者单位: Hong Kong Baptist University

会议类型: 国际会议

会议名称: The Third Asia-TEFL International Conference(亚洲英语教师协会第三届国际会议)

会议地点: 北京

会议语种:英文

页码: 294-304

在线出版日期: 2005-11-04（万方平台首次上网日期，不代表论文的发表时间）