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Anne-Marie Sénécal; Walcir Cardoso – Language Learning & Technology, 2024
A growing body of literature on the pedagogical effectiveness of clickers in a second language (L2) context has revealed that clickers can promote learning. However, the extent to which clickers play a role in L2 acquisition compared to other pedagogical approaches lacks consensus; in addition, most research has focused on adult learners and has…
Descriptors: English (Second Language), Vocabulary Development, Second Language Instruction, Grade 8
Yucel Yilmaz; Gisela Granena; Laia Canals; Aleksandra Malicka – Language Learning & Technology, 2024
The present study examines the impact of the explicitness of corrective feedback and explicit associative memory on the acquisition of -ing/-ed participial adjectives through delayed video-based corrective feedback. Fifty-two L1 Spanish learners were randomly assigned to one of three groups (implicit, explicit, or no-feedback) and performed an…
Descriptors: Foreign Countries, College Students, English (Second Language), Second Language Instruction
Alif Silpachai; Reza Neiriz; MacKenzie Novotny; Ricardo Gutierrez-Osuna; John M. Levis; Evgeny Chukharev – Language Learning & Technology, 2024
It is unclear whether corrective feedback (CF) provided by L2 computer-assisted pronunciation training (CAPT) tools must be 100% accurate to promote an acceptable level of improvement in pronunciation. Using a web-based interface, 30 native speakers of Chinese completed a pretest, a computer-based training session to produce nine sound contrasts…
Descriptors: College Students, Foreign Students, English (Second Language), Second Language Instruction
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
Rakhun Kim – Language Learning & Technology, 2024
This study investigated the instructional effects of learner uptake following automatic corrective recast from artificial intelligence (AI) chatbots on the learning of the English caused-motion construction. 69 novice-level EFL learners in a Korean high school were recruited to investigate the instructional effects of corrective recast from AI…
Descriptors: Artificial Intelligence, Error Correction, Second Language Learning, Second Language Instruction
Blazquez-Carretero, Miguel; Woore, Robert – Language Learning & Technology, 2021
Accurate spelling matters for L2 learners: It facilitates communication, affects other aspects of the writing process, and is an important assessment criterion. However, even in phonologically transparent writing systems like Spanish, L2 learners experience spelling difficulties. Nonetheless, explicit spelling instruction appears to be neglected…
Descriptors: Spelling, Second Language Learning, Spanish, Feedback (Response)
Taguchi, Naoko – Language Learning & Technology, 2023
Using the single-group pre-posttest design, this exploratory study examined whether L2 learners of English can learn a speech act by experiencing perlocutionary effects of the act as feedback (observing their interlocutor's reactions to their choice of speech act expressions). Sixty undergraduate English learners at a university in China played a…
Descriptors: Game Based Learning, Teaching Methods, Pragmatics, Second Language Learning
Godwin-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
Chunping Zheng; Xu Chen; Huayang Zhang; Ching Sing Chai – Language Learning & Technology, 2024
This quasi-experimental research investigates the employment of a formative assessment platform aided by artificial intelligence in an English public speaking course. The platform integrates deep learning, automatic speech recognition, and automatic writing evaluation. It provides automated assessment and immediate feedback on speakers' public…
Descriptors: Peer Evaluation, Comparative Analysis, Feedback (Response), Self Evaluation (Individuals)
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
Yiran Wen; Jian Li; Hongkang Xu; Hanwen Hu – Language Learning & Technology, 2023
The problem of cognitive overload is particularly pertinent in multimedia L2 classroom corrective feedback (CF), which involves rich communicative tools to help the class to notice the mismatch between the target input and learners' pronunciation. Based on multimedia design principles, this study developed a new multimodal CF model through…
Descriptors: Error Correction, Videoconferencing, Second Language Learning, Second Language Instruction
Bronson Hui; Björn Rudzewitz; Detmar Meurers – Language Learning & Technology, 2023
Interactive digital tools increasingly used for language learning can provide detailed system logs (e.g., number of attempts, responses submitted), and thereby a window into the user's learning processes. To date, SLA researchers have made little use of such data to understand the relationships between learning conditions, processes, and outcomes.…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Learning Processes
Strawbridge, Tripp – Language Learning & Technology, 2021
This study investigates the interaction of native speaker--non-native speaker (NS-NNS) dyads engaged in conversational interaction as part of a video-based synchronous computer mediated communication (VidSCMC) eTandem language program. Previous work has indicated certain advantages of NNS-NS conversational interaction for language learning (e.g.,…
Descriptors: Intercultural Communication, Native Speakers, Native Language, Second Language Learning
Sydorenko, Tetyana; Jones, Zachary W.; Daurio, Phoebe; Thorne, Steven L. – Language Learning & Technology, 2020
Usage-based linguistics posits that communicative functions, including pragmatics, are at the core of language (Tomasello, 1992). It is surprising, then, that pragmatics is rarely systematically included in second language curricula (e.g., Bardovi-Harlig, 2017), especially since pragmatics instruction has been shown to significantly contribute to…
Descriptors: Teaching Methods, Pragmatics, Independent Study, Language Usage
Li, Jinrong; Li, Mimi – Language Learning & Technology, 2018
Despite the benefits of peer review, there are still challenges that need to be addressed to make it more effective for L2 students. With the development of technology, computer-mediated peer review has captured increasing attention from L2 writing researchers and instructors. While Turnitin is known for its use in detecting plagiarism, its newly…
Descriptors: Peer Evaluation, Feedback (Response), English (Second Language), Second Language Instruction