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Barrot, Jessie S. – Computer Assisted Language Learning, 2023
Despite the building up of research on the adoption of automated writing evaluation (AWE) systems, the differential effects of automated written corrective feedback (AWCF) on errors with different severity levels and gains across writing tasks remain unclear. Thus, this study fills in the vacuum by examining how AWCF through Grammarly affects…
Descriptors: Automation, Written Language, Error Correction, Feedback (Response)
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Taichi Yamashita – Computer Assisted Language Learning, 2024
The present paper reports on the effectiveness and inclusiveness of human-delivered synchronous written corrective feedback (SWCF) in paired writing tasks. Replicating Yamashita, Study 2 and Study 3 each conducted a classroom-based quasi-experimental study in an English-as-a-Second-Language (ESL) writing program at an American university. In Study…
Descriptors: Synchronous Communication, Feedback (Response), Student Evaluation, Written Language
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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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Paul, Jing Z.; Friginal, Eric – Computer Assisted Language Learning, 2019
This study investigated the effects of Facebook and Twitter on foreign language (Chinese) learners' written production in both short- (10 days) and long-term (50 days) pseudo-experimental settings. Adopting two concepts (i.e. symmetric vs. asymmetric) from matrix theory in social network analysis, we categorized Facebook as a symmetric social…
Descriptors: Social Networks, Second Language Learning, Network Analysis, Sentences
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Matthews, Joshua; O'Toole, John Mitchell; Chen, Shen – Computer Assisted Language Learning, 2017
This paper reports on task interaction, task success and word learning among second language (L2) learners of different levels of word recognition from speech (WRS) proficiency who used a CALL application previously shown to be effective in the development of L2 WRS. Participants (N = 65) were categorised into three levels of L2 WRS proficiency…
Descriptors: Word Recognition, Language Proficiency, Scores, Comparative Analysis
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Wigham, Ciara R.; Chanier, Thierry – Computer Assisted Language Learning, 2015
This paper reports on a study of the interactions between text chat and audio modalities in L2 communication in a synthetic (virtual) world and observes whether the text chat modality was used for corrective feedback and the characteristics of the latter. This is examined within the context of a hybrid content and language integrated learning…
Descriptors: Computer Simulation, Social Systems, Internet, Computer Mediated Communication
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Chen Hsieh, Jun Scott; Wu, Wen-Chi Vivian; Marek, Michael W. – Computer Assisted Language Learning, 2017
Instruction in English is a priority around the globe, but instructional methodologies have not always kept pace with the changing needs of students. To explore the benefits of the flipped classroom model for learners of English as a Foreign Language, the researchers used flipped learning and Wen's Output-driven/Input-enabled model to design a…
Descriptors: Blended Learning, English (Second Language), Second Language Learning, Second Language Instruction
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Nesbitt, Dallas – Computer Assisted Language Learning, 2013
This article discusses the comparative effectiveness of student input at different times during the design of CALL tools for learning kanji, the Japanese characters of Chinese origin. The CALL software "package" consisted of tools to facilitate the writing, reading and practising of kanji characters in context. A pre-design questionnaire…
Descriptors: Computer Software Evaluation, Computer Assisted Instruction, Second Language Learning, Japanese
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Guichon, Nicolas; Betrancourt, Mireille; Prie, Yannick – Computer Assisted Language Learning, 2012
This case study focuses on the feedback that is provided by tutors to learners in the course of synchronous online teaching. More specifically, we study how trainee tutors used the affordances of Visu, an experimental web videoconferencing system, to provide negative feedback. Visu features classical functionalities such as video and chat, and it…
Descriptors: Video Technology, Online Courses, Tutors, Teleconferencing
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Sha, Guoquan – Computer Assisted Language Learning, 2010
Data-driven learning (DDL), or corpus-based language learning, involves the learner in an exploratory task to discover appropriate expressions or collocates regarding his writing. However, the problematic units of meaning in each learner's writing are so diverse that conventional corpora often prove futile. The search engine Google with the…
Descriptors: Written Language, Search Engines, Second Language Learning, Computational Linguistics
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Vinther, Jane – Computer Assisted Language Learning, 2011
The framework of this study is cooperation between students of English at a Chinese university and their counterparts at a Danish university, i.e. neither group of students are native speakers of English. The theoretical framework for the study is Vygotsky's sociocultural approach combined with the work by a number of researchers on the link…
Descriptors: Foreign Countries, Student Motivation, Constructivism (Learning), Interpersonal Relationship
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Tozcu, Anjel – Computer Assisted Language Learning, 2008
This study explores the use of the interactive whiteboards in teaching the non-Latin based orthographies of Hindi, Pashto, Dari, Persian (Farsi), and Hebrew. All these languages use non-roman scripts, and except for Hindi, they are cursive. Thus, letters within words are connected and for beginners the script may look quite complicated,…
Descriptors: Internet, Indo European Languages, Alphabets, Second Language Instruction