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Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review
Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review
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TY - CONF
T1 - Clustering, visualising and elaborating DDL-integrated error correction process in EFL writing activities
AU - Zhu, Fangzhou
AU - Wang, Tingjun
PY - 2024/9/20
Y1 - 2024/9/20
N2 - The use of language corpora for EFL (English as a foreign language) learning purposes, known as data-driven learning (DDL), has shown effectiveness from many recent studies. Although DDL seems promising, it is barely popularised in Chinese EFL context for distinct reasons, such as deficiency of process investigation and exclusivity of other available consultation resources in DDL research. This study aims to unpack DDL-integrated EFL writing error correction in real world, where common consultation resources can be referred to along with DDL. Fifty-nine participants in a Chinese university completed six writing tasks with follow-up revisions, eleven of which then joined stimulated recalls. TraMineR, a sequence data analysis toolkit, was used to visualise consultation processes for error correction and cluster representative trajection by error types. Retrospective device provided insightful details to further explain sequential data in error correction processes. Results showed DDL played a significant role in error correction activities, though it functioned variously regarding error types. DDL helped participants either retrieve prior knowledge or explore new linguistic knowledge with multiple cognitive strategies. Drawbacks of DDL also raised by participants, indicating the importance of combining other consultation resources in error correction activities for better performance.
AB - The use of language corpora for EFL (English as a foreign language) learning purposes, known as data-driven learning (DDL), has shown effectiveness from many recent studies. Although DDL seems promising, it is barely popularised in Chinese EFL context for distinct reasons, such as deficiency of process investigation and exclusivity of other available consultation resources in DDL research. This study aims to unpack DDL-integrated EFL writing error correction in real world, where common consultation resources can be referred to along with DDL. Fifty-nine participants in a Chinese university completed six writing tasks with follow-up revisions, eleven of which then joined stimulated recalls. TraMineR, a sequence data analysis toolkit, was used to visualise consultation processes for error correction and cluster representative trajection by error types. Retrospective device provided insightful details to further explain sequential data in error correction processes. Results showed DDL played a significant role in error correction activities, though it functioned variously regarding error types. DDL helped participants either retrieve prior knowledge or explore new linguistic knowledge with multiple cognitive strategies. Drawbacks of DDL also raised by participants, indicating the importance of combining other consultation resources in error correction activities for better performance.
KW - DDL
KW - error correction
KW - EFL writing
KW - sequence analysis
M3 - Conference paper
SP - 122
EP - 135
T2 - 2024 (20th) ChinaCALL Conference
Y2 - 23 August 2024 through 25 August 2024
ER -