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Youngs, Bonnie L.; Prakash, Akhil; Nugent, Rebecca – Computer Assisted Language Learning, 2018
Logged tracking data for online courses are generally not available to instructors, students, and course designers and developers, and even if these data were available, most content-oriented instructors do not have the skill set to analyze them. Learning analytics, mined from logged course data and usually presented in the form of learning…
Descriptors: Online Courses, French, Second Language Learning, Second Language Instruction
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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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Wei, Wei; Zheng, Ying – Computer Assisted Language Learning, 2017
This research provided a comprehensive evaluation and validation of the listening section of a newly introduced computerised test, Pearson Test of English Academic (PTE Academic). PTE Academic contains 11 item types assessing academic listening skills either alone or in combination with other skills. First, task analysis helped identify skills…
Descriptors: Listening Comprehension Tests, Computer Assisted Testing, Language Tests, Construct Validity
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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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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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Chen, Howard Hao-Jan; Wu, Jian-Cheng; Yang, Christine Ting-Yu; Pan, Iting – Computer Assisted Language Learning, 2016
The development of collocational knowledge is important for foreign language learners; unfortunately, learners often have difficulties producing proper collocations in the target language. Among the various ways of collocation learning, the DDL (data-driven learning) approach encourages the independent learning of collocations and allows learners…
Descriptors: Chinese, Phrase Structure, Second Language Learning, Computational Linguistics
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Rassaei, Ehsan – Computer Assisted Language Learning, 2017
This study investigated the effects of two modes of corrective feedback, namely, face-to-face recasts and computer-mediated recasts during video-conferencing on Iranian English as a foreign language (EFL) learners' second language (L2) development. Moreover, the accuracy of the learners' interpretations of recasts in the two modalities was…
Descriptors: English (Second Language), Second Language Learning, Indo European Languages, Native Language
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Wu, Wen-Chi Vivian; Petit, Emily; Chen, Ching-Huei – Computer Assisted Language Learning, 2015
This exploratory computer assisted-language learning (CALL) study used a computer-mediated communication (CMC) interface to allow English as a foreign language (EFL) writing students in classes at two universities to give each other anonymous peer feedback about essay-writing assignments reacting to selected news stories. Experts also provided…
Descriptors: Computer Mediated Communication, Grammar, Scores, English (Second Language)
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Ouni, Slim – Computer Assisted Language Learning, 2014
Pronunciation training based on speech production techniques illustrating tongue movements is gaining popularity. However, there is not sufficient evidence that learners can imitate some tongue animation. In this paper, we argue that although controlling tongue movement related to speech is not such an easy task, training with visual feedback…
Descriptors: Pronunciation Instruction, Pretests Posttests, Feedback (Response), Psychomotor Skills
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Hsiao, Hsien-Sheng; Chang, Cheng-Sian; Chen, Chiao-Jia; Wu, Chia-Hou; Lin, Chien-Yu – Computer Assisted Language Learning, 2015
This study designed and developed a Chinese character handwriting diagnosis and remedial instruction (CHDRI) system to improve Chinese as a foreign language (CFL) learners' ability to write Chinese characters. The CFL learners were given two tests based on the CHDRI system. One test focused on Chinese character handwriting to diagnose the CFL…
Descriptors: Remedial Instruction, Chinese, Handwriting, Orthographic Symbols
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Choi, Inn-Chull – Computer Assisted Language Learning, 2016
A Web-based form-focused intelligent computer-assisted language learning (ICALL) tutoring system equipped with a process-oriented corrective feedback function was developed to investigate the extent to which such a program may serve as a viable method of teaching grammar to Korean secondary and elementary students. The present study was also…
Descriptors: Instructional Effectiveness, Computer Assisted Instruction, Intelligent Tutoring Systems, English (Second Language)
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Chukharev-Hudilainen, Evgeny; Saricaoglu, Aysel – Computer Assisted Language Learning, 2016
Expressing causal relations plays a central role in academic writing. While it is important that writing instructors assess and provide feedback on learners' causal discourse, it could be a very time-consuming task. In this respect, automated writing evaluation (AWE) tools may be helpful. However, to date, there have been no AWE tools capable of…
Descriptors: Discourse Analysis, Feedback (Response), Undergraduate Students, Accuracy
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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