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Download full textRob Hirschel; Kayoko Horai – Technology in Language Teaching & Learning, 2025
With the advent of generative AI that uses large language models such as ChatGPT, it is now relatively easy to provide automated written corrective feedback in a student's native language. This paper reports on an exploratory study using a ChatGPT-powered plugin recently developed for the Moodle learning management system. The classroom…
Descriptors: Artificial Intelligence, English (Second Language), Error Correction, Writing (Composition)
Aranzazu Bea Reyes; Carmen Rodríguez-Gonzalo – Canadian Journal of Applied Linguistics / Revue canadienne de linguistique appliquée, 2025
The importance of revision has been recognised by numerous scholars of the teaching and learning of writing (Abad & Rodríguez-Gonzalo, 2023; Bereiter & Scardamalia, 1987; Camps, 2020; Horning & Becker, 2006), especially if it is understood as a recursive and transversal phase that affects all levels of language (Álvarez Angulo, 2011;…
Descriptors: College Students, Collaborative Writing, Revision (Written Composition), Error Correction
Direct linkYuan Lu – Language Teaching Research, 2025
This study explored second language (L2) competence in discontinuous discursive formulaic sequences, namely Chinese correlative connectives (CCCs; e.g. yinwei . . . suy 'because . . . so'), in relation to the determinants of formulaic sequence acquisition by scrutinizing L2 Chinese learners' performance on two controlled tasks. Mixed-effects…
Descriptors: Communicative Competence (Languages), Chinese, Second Language Learning, Second Language Instruction
