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Tao, Yingxu; Zou, Bin – Computer Assisted Language Learning, 2023
Technological progress has enhanced classroom gamification in a number of learning contexts. Kahoot! as a digital game-based learning platform is being increasingly integrated into teaching environments to facilitate effective classroom learning. The research focused on Chinese students' perceptions of using Kahoot! in classroom teaching in order…
Descriptors: Student Attitudes, Educational Games, Audience Response Systems, English (Second Language)
Wenting Chen; Jianwu Gao – Computer Assisted Language Learning, 2024
While the importance of the peer feedback in second or foreign language (L2 or FL) classrooms in higher education has been increasingly recognized, empirical research on discussing peer feedback literacy from the perspective of community-based academic writing is very much in its infancy. Informed by the Community of Inquiry (CoI) framework, this…
Descriptors: Inquiry, Community Education, Feedback (Response), Computer Mediated Communication
Dai, Yuanjun; Wu, Zhiwei – Computer Assisted Language Learning, 2023
Although social networking apps and dictation-based automatic speech recognition (ASR) are now widely available in mobile phones, relatively little is known about whether and how these technological affordances can contribute to EFL pronunciation learning. The purpose of this study is to investigate the effectiveness of feedback from peers and/or…
Descriptors: Educational Technology, Technology Uses in Education, Telecommunications, Handheld Devices
Zhai, Na; Ma, Xiaomei – Computer Assisted Language Learning, 2022
Automated writing evaluation (AWE) has been used increasingly to provide feedback on student writing. Previous research typically focused on its inter-rater reliability with human graders and validation frameworks. The limited body of research has only discussed students' attitudes or perceptions in general. A systematic investigation of the…
Descriptors: Automation, Writing Evaluation, Feedback (Response), College Students
Jingjing Zhu; Xi Zhang; Jian Li – Computer Assisted Language Learning, 2024
Traditional L2 pronunciation teaching puts too much emphasis on explicit phonological knowledge ('knowing that') rather than on procedural knowledge ('knowing how'). The advancement of mobile-assisted language learning (MALL) offers new opportunities for L2 learners to proceduralize their declarative articulatory knowledge into production skills…
Descriptors: Artificial Intelligence, Technology Uses in Education, Pronunciation Instruction, Second Language Instruction
Jiang, Lianjiang; Yu, Shulin – Computer Assisted Language Learning, 2022
While automated feedback is becoming readily accessible to student writers, how students employ resources and strategies to use such feedback remains largely unexplored. Informed by activity theory and the construct of appropriation, this study conceptualizes students' use of automated feedback as social appropriation mediated by resources and…
Descriptors: Automation, Feedback (Response), Second Language Learning, Writing Instruction
Zhe Zhang; Ken Hyland – Computer Assisted Language Learning, 2025
Research on second language (L2) writing suggests that student engagement with automated writing evaluation (AWE) feedback is influenced by various individual and contextual factors. Little attention, however, has been given to the role that students' digital literacy can play in this process. Increasingly, digital literacy is becoming…
Descriptors: Writing Evaluation, Feedback (Response), Second Language Learning, Second Language Instruction
Jianhua Zhang; Lawrence Jun Zhang – Computer Assisted Language Learning, 2024
This study mainly explored the effects of teacher feedback, peer feedback and automated feedback on the use of metacognitive strategies in EFL writing. Ninety-seven participants were recruited and divided into three groups, who received two months of feedback from teachers, peers and an automatic writing evaluation system, respectively, and then…
Descriptors: Feedback (Response), Metacognition, English (Second Language), Second Language Learning
Bin Zou; Qinglang Lyu; Yining Han; Zijing Li; Weilei Zhang – Computer Assisted Language Learning, 2025
Adapted from the Technology Acceptance Model (TAM), the Integrated Model of Technology Acceptance (IMTA) has been used to examine the perceptions and acceptance of computer-assisted language learning (CALL), such as online learning, mobile learning, and learning management systems. However, whether IMTA can be applied to empirical research on…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
Aryadoust, Vahid; Ng, Li Ying; Foo, Stacy; Esposito, Gianluca – Computer Assisted Language Learning, 2022
This is the first study to investigate the effects of test methods (while-listening performance and post-listening performance) and gender on measured listening ability and brain activation under test conditions. Functional near-infrared spectroscopy (fNIRS) was used to examine three brain regions associated with listening comprehension: the…
Descriptors: Listening Comprehension, Listening Comprehension Tests, Testing, Cognitive Processes
Ding, Yan; Shen, Huizhong – Computer Assisted Language Learning, 2022
Autonomy of language learners in technology-supported learning environments has attracted much scholarly attention. However, few studies, to date, have examined the issue in the emerging context of language MOOCs. The present study complemented this line of research via a qualitative investigation of a group of Chinese EFL learners in an English…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Personal Autonomy
Li, Rui; Meng, Zhaokun; Tian, Mi; Zhang, Zhiyi; Xiao, Wei – Computer Assisted Language Learning, 2021
Although digital game-based vocabulary learning (DGBVL) has attracted considerable attention, factors attributing to the facilitative effects of DGBVL have not yet been satisfactorily understood. To this end, under the theoretical framework of flow theory, this study investigates the effects of flow experiences on Chinese…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Feedback (Response)
Jiang, Yan; Chun, Dorothy – Computer Assisted Language Learning, 2023
This paper examines whether a web-based training on English discourse intonation leads to better spontaneous speech quality for Mandarin Chinese speakers who reside in the U.S. and in China. The four-week fully online training consisted of meta-instruction videos as well as listening and speaking activities, including instant visual pitch contour…
Descriptors: Oral Language, Second Language Learning, Second Language Instruction, English (Second Language)
Guo, Qian; Feng, Ruiling; Hua, Yuanfang – Computer Assisted Language Learning, 2022
AWCF can facilitate academic writing development, especially for novice writers of English as a foreign language (EFL). Existing AWCF studies mainly focus on teacher and learner perceptions; fewer have investigated the error-correction effect of AWCF and factors related to the effect. Especially lacking is research on how successfully students can…
Descriptors: Error Correction, Feedback (Response), English (Second Language), Second Language Learning
Xue, Sijia; Churchill, Daniel – Computer Assisted Language Learning, 2022
The educational potential of mobile and social media technologies in combination is becoming increasingly salient with the advance of modern technology. However, there is a dearth in the research on educational use of mobile social media for language learning. This study adopted a qualitative single case study approach to investigate a language…
Descriptors: Second Language Learning, Second Language Instruction, Teaching Methods, Student Centered Learning
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