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Enming Zhang; Yinghua Ye; Shuqian Ni – Asia-Pacific Education Researcher, 2025
Subject (e.g., math) problems often have deep rationales and concepts underlying them. Accordingly, when students solve these problems, they are prone to making errors that expose their misunderstandings and are difficult to correct. Previous research has shown the benefits of teacher feedback in learning from errors, but the effectiveness of…
Descriptors: Feedback (Response), Error Patterns, Error Correction, Cognitive Processes
Laia Canals; Gisela Granena; Yucel Yilmaz; Aleksandra Malicka – Language Teaching Research, 2025
This study investigated the relative effectiveness of immediate and delayed corrective feedback on the acquisition of -ing/-ed participial adjectives by Spanish English-as-a-foreign-language learners in video-based computer-mediated communication. Fifty-two participants took part in a communicative task in one of four groups (two experimental and…
Descriptors: Computer Mediated Communication, Video Technology, Feedback (Response), Instructional Effectiveness
Chen-Chen Liu; Gwo-Jen Hwang; Peng Yu; Yun-Fang Tu; Youmei Wang – Educational Technology Research and Development, 2025
Oral practice is challenging for foreign language education, and Corrective Feedback (CF) is often used to point out learners' pronunciation errors and to help them improve their oral skills in foreign language courses. CF is generally considered as a necessary condition for foreign language acquisition, and "reflection" and…
Descriptors: Automation, Error Correction, Feedback (Response), Peer Evaluation
Sam Salmi; Mohammad Taghi Farvardin – Language Teaching Research Quarterly, 2025
The purpose of this study was to examine the effectiveness of explicit corrective feedback (CF) strategies (i.e., metalinguistic feedback and explicit correction) versus implicit CF methods (i.e., recasts and explanation questions) in helping English language learners acquire the that-trace filter. To this end, one hundred twenty intermediate…
Descriptors: Error Correction, Feedback (Response), Language Tests, Grammar
Bo Wang; Shulin Yu; Yao Zheng; Timothy Teo – Language Teaching Research, 2025
While previous research has investigated teacher oral feedback practices and their influences on student learning, little research has examined how students interpret and engage with teacher feedback, which is critical to the feedback effectiveness and the success of learning and performance. According to Ellis, student engagement is clearly…
Descriptors: Oral Language, English (Second Language), Second Language Learning, Second Language Instruction
Douglas Hamano-Bunce – Language Teaching Research, 2025
There is growing consensus that the provision of Written Corrective Feedback (WCF) on second language (L2) writing is beneficial for long-term L2 development. Yet, while WCF may help improve linguistic accuracy, there is no evidence that it promotes the development of linguistic complexity. Further, WCF is also often laborious and time-consuming…
Descriptors: Writing Instruction, Revision (Written Composition), Accuracy, Second Language Learning
Elsayed Issa; Gus Hahn-Powell – Language Learning & Technology, 2025
This study investigates the effectiveness of a computer-assisted pronunciation training (CAPT) system on second language learners' acquisition of three grammatical features. It presents a CAPT system on top of a phoneme-based, fine-tuned speech recognition model, and is intended to deliver explicit, corrective feedback on the pronunciation of the…
Descriptors: Grammar, Computer Assisted Instruction, Arabic, Second Language Instruction
Xi Yu; Frank Boers; Paul Tremblay – Language Teaching Research, 2025
This article reports a quasi-experimental study which compared the effectiveness for multiword item learning of three listening-based activities: dictation, dictogloss, and answering text comprehension questions. In a dictation, students write down segments of text immediately after listening to them, whereas in dictogloss students try to…
Descriptors: Phrase Structure, Listening Comprehension, English (Second Language), Second Language Learning
Jiahui Wu; Jianwei Li; Zigang Ge; Mingrui Xu; Li Lin; Ru Zhang – Journal of Educational Computing Research, 2025
Automated written corrective feedback (AWCF) tools play a crucial role in supporting English writing instruction. However, issues such as insufficient accuracy and hallucination have undermined users' trust in these systems. To address these challenges, this study investigates the potential of Generative Artificial Intelligence (GAI) enhanced by…
Descriptors: Error Correction, Feedback (Response), Artificial Intelligence, Computer Software

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