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Direct linkGodwin-Jones, Robert – Language Learning & Technology, 2022
In recent years, advances in artificial intelligence (AI) have led to significantly improved, or in some cases, completely new digital tools for writing. Systems for writing assessment and assistance based on automated writing evaluation (AWE) have been available for some time. That is the case for machine translation as well. More recent are…
Descriptors: Writing Instruction, Artificial Intelligence, Feedback (Response), Writing Evaluation
Ranalli, Jim; Yamashita, Taichi – Language Learning & Technology, 2022
To the extent automated written corrective feedback (AWCF) tools such as Grammarly are based on sophisticated error-correction technologies, such as machine-learning techniques, they have the potential to find and correct more common L2 error types than simpler spelling and grammar checkers such as the one included in Microsoft Word (technically…
Descriptors: Error Correction, Feedback (Response), Computer Software, Second Language Learning
Kourtali, Nektaria-Efstathia – Language Learning & Technology, 2022
The role of recasts, a corrective feedback technique, has received much attention from instructed SLA researchers. While a variety of factors have been identified as influencing their effectiveness in facilitating uptake and L2 development (e.g., learners' age and level of proficiency), the role of mode of interaction has been the object of…
Descriptors: Teaching Methods, Computer Mediated Communication, Second Language Learning, Second Language Instruction
Yamashita, Taichi – Language Learning & Technology, 2021
This study investigated the effects of corrective feedback (CF) during in-class computer-mediated collaborative writing on grammatical accuracy in a new piece of individual writing. Forty-eight ESL students at an American university worked on two computer-mediated animation description tasks in pairs. The experimental group received indirect CF on…
Descriptors: Error Correction, Feedback (Response), Computer Mediated Communication, Synchronous Communication
Monteiro, Kátia – Language Learning & Technology, 2014
This study investigated the effectiveness of oral metalinguistic feedback and recasts as well as the effect of focused tasks (FT) in the development of implicit and explicit knowledge during video-conference interactions. This was accomplished by partial replication of a study performed in a classroom setting. Three groups of Brazilian EFL…
Descriptors: Videoconferencing, Feedback (Response), Experimental Programs, Error Correction
Jepson, Kevin – Language Learning & Technology, 2005
Despite the expanded use of the Internet for language learning and practice, little attention if any has been given to the quality of interaction among English L2 speakers in conversational text or voice chat rooms. This study explored the patterns of repair moves in synchronous non-native speaker (NNS) text chat rooms in comparison to voice chat…
Descriptors: Qualitative Research, Interaction, Data Analysis, Internet
