Corrective Feedback Types Opted for by EFL Teachers in Face-to-Face and Online Classes: A Comparative Study across Levels of Proficiency

سال انتشار: 1403
محل انتشار: فصلنامه آموزش مهارتهای زبان، دوره: 43، شماره: 4
کد COI اختصاصی: JR_JTLS-43-4_001
زبان مقاله: انگلیسی
تعداد مشاهده: 92

نویسندگان

Urmia University

چکیده

The current study aimed to investigate EFL teachers’ use of different corrective feedback types in face-to-face and online classes across levels of proficiency, as well as their perceptions of the use of corrective feedback (CF) in their classrooms. To this end, six teachers (three face-to-face and three online) from two language schools were selected as the participants based on convenience sampling. It’s worth noting that in terms of design, the current investigation qualifies as a case study. In an attempt to triangulate data collection, both observation and interview were used as the instruments for data collection. In so doing, each teacher’s class was observed for two sessions, and the interaction between learners and each teacher was audio-recorded. Furthermore, structured interviews were conducted with the participants following observations. The study was guided by Lyster and Ranta’s (۱۹۹۷) and Sheen’s (۲۰۱۱) framework for CF types. As the findings revealed, recast was the most commonly used CF type in elementary and intermediate levels in both classroom modes, as well as the advanced face-to-face class, with the only exception being the advanced online class in which elicitation featured as the most preferred feedback type. Furthermore, the results of the interview data revealed that all teachers had positive perceptions of using CF in EFL classrooms. The findings offer some fruitful implications for EFL teachers who are engaged with face-to-face or online modes of instruction, particularly as they highlight the importance of offering more explicit CF types to bring about more noticing and uptake.

کلیدواژه ها

Corrective feedback, EFL teachers, face-to-face classes, online classes, proficiency levels

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