4.4 Editorial Material

Can Self-Regulation be Transferred to Second/Foreign Language Learning and Teaching? Current Status, Controversies, and Future Directions

期刊

APPLIED LINGUISTICS
卷 43, 期 3, 页码 587-595

出版社

OXFORD UNIV PRESS
DOI: 10.1093/applin/amab032

关键词

-

资金

  1. National Social Science Fund of China [18BYY108]

向作者/读者索取更多资源

This brief article critically reviews the application of self-regulation theory to second/foreign language learning and teaching in the past 15 years. It highlights conceptual and methodological issues, identifies the state-of-the-art research, and proposes key focuses for future studies. The article concludes that self-regulation principles, measurements, and practices have a solid foundation for enhancing second/foreign language learning and teaching, offering a wide range of research possibilities.
Recognized as an essential component of 21st century skills, self-regulation, also as a robust and vibrant theory, has been extensively researched in the field of education psychology for many decades. However, it is an area of research whose theoretical principles that drive the research work have not been sufficiently applied to the field of second language acquisition (SLA), applied linguistics, or foreign language education. Inspired by the heated discussion on selfregulation and language learning strategies in recent years (Rose et al. 2018; Griffiths 2020), this brief article presents a critical review of how self-regulation has been applied to second/foreign language learning and teaching in the past 15 years. By taking stock of conceptual and methodological issues, we highlight the state-of-the-art research and propose key foci for future studies. We conclude that self-regulation principles, measurements, and practices have a solid ground for enriching second/foreign language learning and teaching, and thus offer a complex and broad range of research possibilities.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据