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Virlan, Ayse Yilmaz – Journal of English Teaching, 2022
In second language teaching and learning, making errors is inevitable as language learning requires a lot of cognitive effort and concentration on the part of learners. Understanding the types and frequencies of student errors is, therefore, an important issue for ESL and EFL teachers to determine how students can be helped to improve their skills…
Descriptors: Teaching Methods, Error Correction, Cognitive Ability, Second Language Instruction
Pearson, William S. – TESL-EJ, 2018
Teacher corrective feedback is widely recognised as integral in supporting developing L2 writers. The potentially high pressure IELTS test preparation classroom presents a context where feedback has not yet been extensively studied. Consequently, teachers' approaches to corrective feedback on Writing Task 2, the essay component of IELTS Writing,…
Descriptors: Error Correction, Feedback (Response), English (Second Language), Second Language Learning
Saeli, Hooman; Cheng, An – Canadian Journal of Applied Linguistics / Revue canadienne de linguistique appliquée, 2019
This project firstly explored Iranian English as a foreign language (EFL) students' perceptions about written corrective feedback (WCF)-related practices and preferences. Secondly, the student participants' first language (L1; e.g., Farsi) learner identities were operationalized, especially focusing on the skill of writing, WCF, and…
Descriptors: Grammar, Error Correction, Feedback (Response), English (Second Language)
Smirnova, Elizaveta A. – RELC Journal: A Journal of Language Teaching and Research, 2017
This article describes the gathered experience in using corpora in an IELTS preparation course. The practice demonstrates an attempt to reduce negative washback effects occurring when preparation courses just concentrate on the test format neglecting the importance of development of learners' language skills and general study skills. Some…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computational Linguistics