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Wen Jia; Liping Zhang; Austin Pack; Yi Guan; Bin Zou – Language Learning & Technology, 2024
Although digital game-based vocabulary learning (DGBVL) has received increasing attention in the past two decades, the impacts of DGBVL on the depth of word knowledge are still not well understood, especially in regard to productive vocabulary learning and DGBVL's long-term efficacy. This study leverages a quasiexperimental research design to…
Descriptors: Game Based Learning, Video Games, Vocabulary Development, Receptive Language
Fengkai Liu; Yishi Jiang; Chun Lai; Tan Jin – Language Learning & Technology, 2024
Differentiated instruction is much demanded yet quite challenging in face of the growing student diversity in today's K-12 classrooms. One major challenge is the provision of differentiated materials to students. Automated text simplification (ATS) tools fueled by natural language processing may serve as a useful assistant for teachers. However,…
Descriptors: Automation, Individualized Instruction, Natural Language Processing, Technology Uses in Education
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
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)
How Competitive, Cooperative, and Collaborative Gamification Impacts Student Learning and Engagement
Shen Qiao; Susanna Siu-Sze Yeung; Xiaoai Shen; Jac Ka Lok Leung; Davy Tsz Kit Ng; Samuel Kai Wah Chu – Language Learning & Technology, 2024
Gamification is an increasingly popular approach to engage learners in educational contexts. Although many studies have examined the effects of gamification in comparison to a non-gamification approach, less attention has been paid to the impact of different ways of implementing gamification on students' learning and engagement. In this study, we…
Descriptors: Learner Engagement, Gamification, Secondary School Students, English (Second Language)
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
Yaru Meng; Hua Fu; Chuang Wang – Language Learning & Technology, 2024
There is growing literature on computerized dynamic assessment (C-DA) wherein individual items are accompanied by mediating prompts, but its effectiveness at fine-grained levels across time has not been explored sufficiently. This study constructed a computerized listening dynamic assessment (CLDA) system, where mediation was informed by an…
Descriptors: Computer Assisted Testing, Test Validity, Audio Equipment, Audiometric Tests
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)
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)
Weijiao Huang; Chengyuan Jia; Khe Foon Hew; Jia Guo – Language Learning & Technology, 2024
Aural decoding skill is an important contributor to successful EFL listening comprehension. This paper first described a preliminary study involving a 12-week undergraduate flipped decoding course, based on the flipped SEF-ARCS decoding model. Although the decoding model (N = 44) was significantly more effective in supporting students' decoding…
Descriptors: Artificial Intelligence, English (Second Language), Second Language Learning, Listening Comprehension
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
Jin, Tan; Su, Yanfang; Lei, Jun – Language Learning & Technology, 2020
The importance of argumentative writing has long been recognized. However, many foreign language learners struggle to make effective argumentation and use appropriate language in argumentative writing. In this study, we proposed a blended learning design to address students' problems with argumentation and language use in argumentative writing…
Descriptors: Blended Learning, Persuasive Discourse, Collaborative Writing, Electronic Learning
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
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)
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