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Bodnar, Stephen; Cucchiarini, Catia; Penning de Vries, Bart; Strik, Helmer; van Hout, Roeland – Computer Assisted Language Learning, 2017
Although corrective feedback (CF) has received much interest in the second language acquisition literature, relatively little research has investigated the relationship between CF and learner affect in concrete practice situations. The present study investigates learners' affective states and practice behaviour in a novel context: oral grammar…
Descriptors: Computer Assisted Instruction, Teaching Methods, Feedback (Response), Second Language Learning
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Yang, Yu-Fen – Computer Assisted Language Learning, 2018
This study reports on how students construct new language knowledge by indirect feedback in web-based collaborative writing. Indirect feedback (text organization, reader-based perspectives, and clarity of purpose) encourages students to negotiate meaning instead of merely copying peers' direct feedback on grammatical corrections. According to the…
Descriptors: Feedback (Response), Collaborative Writing, Questionnaires, Language Proficiency
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Chang, Jia-Wei; Lee, Ming-Che; Su, Chien-Yuan; Wang, Tzone-I – Computer Assisted Language Learning, 2017
Chinese as a foreign language (CFL) learners generally encounter difficulty in using some special rules of Chinese grammar because such grammar points do not exist in their native languages. CFL learners require an effective learning strategy to assist them in acquiring a greater understanding of Chinese grammar. Thus, we integrated a…
Descriptors: Web Based Instruction, Chinese, Grammar, Sentence Structure
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Xu, Qi; Peng, Hongying – Computer Assisted Language Learning, 2017
This article reports on an exploratory study investigating mobile-assisted oral feedback in teaching Chinese as a second language (CSL). It is aimed at exploring the characteristics of mobile-assisted feedback on oral production with the smartphone social communication app WeChat as a case in point and examining learners' perceptions of…
Descriptors: Oral Language, Feedback (Response), Chinese, Second Language Learning
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Crosthwaite, Peter – Computer Assisted Language Learning, 2017
An increasing number of studies have looked at the value of corpus-based data-driven learning (DDL) for second language (L2) written error correction, with generally positive results. However, a potential conundrum for language teachers involved in the process is how to provide feedback on students' written production for DDL. The study looks at…
Descriptors: Feedback (Response), Error Correction, Morphology (Languages), Syntax
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Yu, Ping; Pan, Yingxin; Li, Chen; Zhang, Zengxiu; Shi, Qin; Chu, Wenpei; Liu, Mingzhuo; Zhu, Zhiting – Computer Assisted Language Learning, 2016
Oral production is an important part in English learning. Lack of a language environment with efficient instruction and feedback is a big issue for non-native speakers' English spoken skill improvement. A computer-assisted language learning system can provide many potential benefits to language learners. It allows adequate instructions and instant…
Descriptors: English (Second Language), Foreign Countries, Second Language Instruction, Computer Assisted Instruction
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van Doremalen, Joost; Boves, Lou; Colpaert, Jozef; Cucchiarini, Catia; Strik, Helmer – Computer Assisted Language Learning, 2016
The purpose of this research was to evaluate a prototype of an automatic speech recognition (ASR)-based language learning system that provides feedback on different aspects of speaking performance (pronunciation, morphology and syntax) to students of Dutch as a second language. We carried out usability reviews, expert reviews and user tests to…
Descriptors: Case Studies, Speech, Indo European Languages, Second Language Learning
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de Vries, Bart Penning; Cucchiarini, Catia; Bodnar, Stephen; Strik, Helmer; van Hout, Roeland – Computer Assisted Language Learning, 2015
Speaking practice is important for learners of a second language. Computer assisted language learning (CALL) systems can provide attractive opportunities for speaking practice when combined with automatic speech recognition (ASR) technology. In this paper, we present a CALL system that offers spoken practice of word order, an important aspect of…
Descriptors: Grammar, Computer Assisted Instruction, Feedback (Response), Error Correction
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Luo, Beate – Computer Assisted Language Learning, 2016
This study investigates a computer-assisted pronunciation training (CAPT) technique that combines oral reading with peer review to improve pronunciation of Taiwanese English major students. In addition to traditional in-class instruction, students were given a short passage every week along with a recording of the respective text, read by a native…
Descriptors: Computer Assisted Instruction, Pronunciation, Second Language Instruction, Peer Evaluation
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Chang, Heejin; Windeatt, Scott – Computer Assisted Language Learning, 2016
There is much evidence to support the occurrence of learning in connection with collaboration, both in face-to-face and online teaching situations, but much less research on how such collaboration develops over the duration of a course. Using Dillenbourg's concepts of "situation," "interactions," "mechanisms," and…
Descriptors: Cooperative Learning, Online Courses, Teaching Methods, Feedback (Response)
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Roy, Debopriyo – Computer Assisted Language Learning, 2014
Besides focusing on grammar, writing skills, and web-based language learning, researchers in "CALL" and second language acquisition have also argued for the importance of promoting higher-order thinking skills in ESL (English as Second Language) and EFL (English as Foreign Language) classrooms. There is solid evidence supporting the…
Descriptors: Computer Assisted Instruction, Web Sites, English (Second Language), Second Language Learning
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Yang, Yu-Fen – Computer Assisted Language Learning, 2016
Recognizing that graduate students seldom have the opportunity to participate collaboratively, either in providing or receiving feedback to improve their academic writing skills, this study reports on the design of a computer-supported collaborative learning (CSCL) system used to investigate how graduate students transform and construct their…
Descriptors: Peer Evaluation, Feedback (Response), Writing Processes, Graduate Students
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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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Zou, Bin – Computer Assisted Language Learning, 2013
Many computer-assisted language learning (CALL) studies have found that teacher direction can help learners develop language skills at their own pace on computers. However, many teachers still do not know how to provide support for students to use computers to reinforce the development of their language skills. Hence, more examples of CALL…
Descriptors: Educational Technology, English (Second Language), Foreign Countries, Speech Communication
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Cardoso, Walcir – Computer Assisted Language Learning, 2011
This paper reports the results of a study on the use of a learner response system (LRS) by a group of students of English as a foreign language (L2). Via a methodology that included the analysis of survey questionnaires and open-ended oral interviews, the study examined learners' perceptions of the use of an LRS by a group of 30 Brazilians…
Descriptors: Student Attitudes, Second Languages, Questionnaires, Classroom Environment
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