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Showing 1 to 15 of 51 results Save | Export
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Marwan H. Sallam; Yan Li; Sunnie Lee Watson; Ruisheng Liu; Rong Luo; Minghua Xu – Computer Assisted Language Learning, 2025
This study investigated participants' perceived attitudinal learning in language massive open online courses (LMOOCs). A mixed-method design was used to evaluate the attitudinal learning outcomes of 151 participants who completed the attitudinal learning questionnaire at the middle and end of the course, as well as 10 participants who participated…
Descriptors: MOOCs, Student Attitudes, Second Language Learning, Chinese
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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)
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Yen-Jung Chen; Liwei Hsu; Shao-wei Lu – Computer Assisted Language Learning, 2024
It is well known that teachers' feedback plays an important role in students' learning, as it enhances learners' cognitive development; yet there has been little research on how positive feedback given in the form of emojis works in computer-assisted language learning (CALL) courses. In this study, an experiment was designed to clarify how English…
Descriptors: Visual Aids, English (Second Language), Second Language Learning, Feedback (Response)
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Anne-Marie Sénécal; Walcir Cardoso; Vanessa Mezzaluna – Computer Assisted Language Learning, 2024
Clickers are hand-held devices that wirelessly transmit student input to a computer: students answer multiple-choice questions using their clickers and the answer distribution is displayed on a screen. Previous studies suggest that the pedagogical use of these devices may contribute to learning and that they are positively perceived by students in…
Descriptors: English (Second Language), Second Language Learning, Vocabulary Development, Audience Response Systems
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Turgay Han; Elif Sari – Computer Assisted Language Learning, 2024
Feedback is generally regarded as an integral part of EFL writing instruction. Giving individual feedback on students' written products can lead to a demanding, if not insurmountable, task for EFL writing teachers, especially in classes with a large number of students. Several Automated Writing Evaluation (AWE) systems which can provide automated…
Descriptors: Foreign Countries, Automation, Feedback (Response), English (Second Language)
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Aloraini, Nouf; Cardoso, Walcir – Computer Assisted Language Learning, 2022
The literature on students' perceptions towards using Social Media (SM) for language learning reports mixed findings: while some studies indicate learners' positive perceptions of their use for academic purposes (e.g., Bani-Hani et al.), others suggest that learners' perceptions might vary due to their proficiency in the language (e.g., Gamble…
Descriptors: College Students, English Language Learners, Foreign Countries, Social Media
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Ge, Zi-Gang – Computer Assisted Language Learning, 2022
This study aims to investigate the effectiveness of peer video feedback on adult e-learners' language learning. The participants were 60 first-year e-learning students majoring in telecommunications at an e-learning college in Beijing and participating in a 19-week English course. They were divided evenly into two groups with two peer feedback…
Descriptors: Video Technology, Feedback (Response), Peer Evaluation, Electronic Learning
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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
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Kiliçkaya, Ferit – Computer Assisted Language Learning, 2022
Although a plethora of research has been conducted on written corrective feedback and timing of feedback in various teaching and learning contexts, there is a paucity of research on learners' preferences regarding different online written corrective feedback. Such a lacuna becomes prominent in EFL contexts, especially in grammar classes, where…
Descriptors: Preservice Teachers, Language Teachers, Electronic Learning, Written Language
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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
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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
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Yoshida, Reiko – Computer Assisted Language Learning, 2022
The paper examines the emotions of 15 learners of Japanese across seven weekly online text chats in Japanese with native Japanese speakers, and the factors that caused their emotions. The data came from questionnaires about the learners' biodata and previous experiences of text chats, weekly reports about their chats, transcripts of the chats, and…
Descriptors: Emotional Response, Second Language Learning, Japanese, Synchronous Communication
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Behice Ceyda Cengiz; Amine Hatun Atas – Computer Assisted Language Learning, 2025
This research investigates the correlation between online self-regulation (OSR) and in class co-regulation (CR) within a flipped EFL (English as a Foreign Language) writing classroom. Employing a mixed methods approach, the study amalgamates descriptive and correlational quantitative data with qualitative interview data. Participants consisted of…
Descriptors: English (Second Language), Second Language Instruction, Second Language Learning, Correlation
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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
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Tzu-Yu Tai; Howard Hao-Jan Chen – Computer Assisted Language Learning, 2024
English speaking is considered the most difficult and anxiety-provoking language skill for EFL learners due to lack of access to authentic language use, fear of making mistakes, and peers' negative comments. With automatic speech recognition and natural language processing, intelligent personal assistants (IPAs) have potential in foreign language…
Descriptors: English (Second Language), Speech Communication, English Language Learners, Anxiety
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