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Wei Xu; Xiao Tan; Chaoran Wang; Dan Fu – Language Learning & Technology, 2025
Metacognitive knowledge, closely correlated with one's writing skills, has received increasing research and pedagogical attention. Applying Flavell's metacognition framework, this study adopts a quasiexperimental design to investigate whether and how a DMC assignment as a pedagogical intervention influences Chinese English as a Foreign Language…
Descriptors: Multimedia Materials, Metacognition, English (Second Language), Second Language Instruction
Yuchen Peng; Yuhong Lei – Language Learning & Technology, 2025
Multimodal synchronous-computer-mediated communication (SCMC) provides many possibilities for improving language learners' pragmatic competence (Maa & Taguchi, 2022). However, the research exploring how SCMC mode affects the pragmatic learning process and its outcome is limited. This study investigates the effects of SCMC modes on pragmatic…
Descriptors: Computer Mediated Communication, Synchronous Communication, Learning Processes, English (Second Language)
Jiarun Ye; Pengchong Zhang; Rowena Kasprowicz; Catherine Tissot – Language Learning & Technology, 2025
Technology-enhanced vocabulary learning has gained increasing attention, yet its effectiveness remains inconclusive, with studies reporting mixed findings. Additionally, whether integrating self-regulated learning mechanism (SLM) into such type of learning can further enhance its effectiveness remains underexplored. This study examines the impact…
Descriptors: Educational Technology, Technology Uses in Education, Vocabulary Development, Self Management
Shu Zhou; Gerhardus D. Du Preez – Language Learning & Technology, 2025
This study examines the potential of ChatGPT to enhance grammar development in an academic writing context, where grammar instruction is often overlooked. Adopting a qualitative case study, this research explores how a localized version of ChatGPT can assist first-year undergraduate students in improving their grammar in writing tasks. The study…
Descriptors: Grammar, Writing Instruction, Artificial Intelligence, Computer Software
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
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)
Sun, Weifeng; Zou, Bin – Language Learning & Technology, 2022
It is expected that the field of language education will see an increased need for teachers to accept online teaching. Based on the Technology Acceptance Model, this study examined pre-service EFL teachers' acceptance of online teaching and the factors influencing them. The participants were TESOL majors at three universities in China. The data…
Descriptors: Preservice Teachers, Language Teachers, Second Language Instruction, English (Second Language)
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
Zhang, Hong; Torres-Hostench, Olga – Language Learning & Technology, 2022
The main purpose of this study is to evaluate the effectiveness of Machine Translation Post-Editing (MTPE) training for FL students. Our hypothesis was that with specific MTPE training, students will able to detect and correct machine translation mistakes in their FL. Training materials were developed to detect six typical mistakes from Machine…
Descriptors: Computational Linguistics, Translation, Second Language Learning, Second Language Instruction
Chen, Zhenzhen; Chen, Weichao; Jia, Jiyou; Le, Huixiao – Language Learning & Technology, 2022
Despite the growing interest in investigating the pedagogical application of Automated Writing Evaluation (AWE) systems, studies on the process of AWE-supported writing are still scant. Adopting activity theory as the framework, this qualitative study aims to examine how students incorporated AWE feedback into their writing in an English as a…
Descriptors: Writing Instruction, Writing Processes, Teaching Methods, Learning Strategies
Shi, Zhan; Liu, Fengkai; Lai, Chun; Jin, Tan – Language Learning & Technology, 2022
Automated Writing Evaluation (AWE) systems have been found to enhance the accuracy, readability, and cohesion of writing responses (Stevenson & Phakiti, 2019). Previous research indicates that individual learners may have difficulty utilizing content-based AWE feedback and collaborative processing of feedback might help to cope with this…
Descriptors: Writing Instruction, Writing Evaluation, Feedback (Response), Accuracy
Liu, Sha; Yu, Guoxing – Language Learning & Technology, 2022
This study used eye-tracking, in combination with stimulated recalls and reflective journals, to investigate L2 learners' engagement with automated feedback and the impact of feedback explicitness and accuracy on their engagement. Twenty-four Chinese EFL learners revised their writing through Write & Improve with Cambridge, a new automated…
Descriptors: Eye Movements, Second Language Learning, Second Language Instruction, Feedback (Response)
Lee, Juhee; Song, Jayoung – Language Learning & Technology, 2019
Although a number of studies have investigated study abroad or telecollaboration separately, none to date has included both methods with the aim of differentiating their impacts on the development of intercultural communicative competence (ICC). Using mixed methods, the current study compared foreign language learners' perceived ICC development…
Descriptors: Cultural Awareness, Study Abroad, Intercultural Communication, Communicative Competence (Languages)
Li, Shuangling – Language Learning & Technology, 2017
This article investigates the role of direct corpus use in learners' collocational competence in academic writing. An experiment was conducted between two groups of Chinese postgraduates who had no previous knowledge of corpora. It was embedded in a regular 4-month linguistics course in the students' programmes, where a corpus-assisted method was…
Descriptors: Phrase Structure, Computational Linguistics, Accuracy, Graduate Students
Xu, Cuiqin; Ding, Yanren – Language Learning & Technology, 2014
The advance of computer input log and screen-recording programs over the last two decades has greatly facilitated research into the writing process in real time. Using Inputlog 4.0 and Camtasia 6.0 to record the writing process of 24 Chinese EFL writers in an argumentative task, this study explored L2 writers' pausing patterns in computer-assisted…
Descriptors: Writing Processes, Computer Assisted Instruction, Writing Assignments, Persuasive Discourse
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