4.5 Article

Exploring the impact of using automated writing evaluation in English as a foreign language university students' writing

期刊

COMPUTER ASSISTED LANGUAGE LEARNING
卷 26, 期 3, 页码 234-257

出版社

ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/09588221.2012.655300

关键词

automated writing evaluation (AWE); accuracy; learner autonomy; interaction; EFL writing

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A period of expanding globalization has emphasized the significant role played by the English language in both communications and information sourcing. In such an environment, it is understandable that many have sought to enhance available writing skills and the assessment of said writing skills. In recent decades, automated writing evaluation (AWE) has been applied with significant frequency to the evaluation and assessment of English writing performance in EFL environments. The purpose of this study is to examine the impact and effect of using AWE on EFL students' writing. In this study, the subjects were 57 EFL freshmen from the Department of Applied English at one university in the south of Taiwan. Both quantitative and qualitative research methods were used to conduct a quasi-experimental research by employing a t-test technique and a semi-structured interview technique, and the nonequivalent groups' pre-test/post-test control and comparison group design were applied to explore the overall effect of using AWE on the improvement of student writing in terms of accuracy, learner autonomy, and interaction. The research results reveal a significant difference between the experimental group and the control group in terms of writing accuracy following the adoption of AWE. Regarding the overall effect and the exploration of students' perceptions toward their usage of the AWE software, it shows that students who used AWE display obvious writing enhancement in terms of writing accuracy and learner autonomy awareness. The pedagogical implications of fully understanding students' usage of AWE in the writing process in order to improve EFL learners' writing performance are fully discussed.

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