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Showing 1 to 15 of 23 results Save | Export
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Assim S. Alrajhi – International Journal of Computer-Assisted Language Learning and Teaching, 2024
This study examines and compares L2 grammatical accuracy in digital multimodal writing (DMW) and monomodal text-based writing (TBW). Utilizing a mixed-methods design, the research incorporates a dataset comprising 180 written texts, a questionnaire, and text-based interviews. Sixty EFL learners were assigned to two groups (TBW and DMW) and…
Descriptors: Grammar, Accuracy, Writing Strategies, Comparative Analysis
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Graham, Steven – Teaching English with Technology, 2021
An explorative case study has been conducted at a small rural school in the north east of Thailand to investigate the pronunciation errors that primary school students make when reading English aloud. This paper illustrates the opportunities and challenges of employing speech recognition software in rural classrooms by using it with specifically…
Descriptors: Pronunciation, Reading Difficulties, Error Patterns, Elementary School Students
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Tsai, Shu-Chiao – Computer Assisted Language Learning, 2022
This study investigates the effectiveness of using Google Translate as a translingual CALL tool in English as a Foreign Language (EFL) writing, keyed to the perceptions of both more highly proficient Chinese English major university students and less-proficient non-English majors. After watching a 5-minute passage from a movie, each cohort of…
Descriptors: Computer Assisted Instruction, Translation, Second Language Learning, Second Language Instruction
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Almusharraf, Norah; Alotaibi, Hind – Educational Measurement: Issues and Practice, 2021
Committing errors is expected in the development of language acquisition and learning; however, there is limited research that contributes to the literature on the effect of gender of English as a foreign language (EFL) writing. This study explored the gender differences in EFL students' writing using two approaches: human evaluation and…
Descriptors: Gender Differences, Second Language Learning, Second Language Instruction, English (Second Language)
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Xiao, Wenqi; Park, Moonyoung – International Journal of Computer-Assisted Language Learning and Teaching, 2021
With the advancement of automatic speech recognition (ASR) technology, ASR-based pronunciation assessment can diagnose learners' pronunciation problems. Meanwhile, ASR-based pronunciation training allows more opportunities for pronunciation practice. This study aims to investigate the effectiveness of ASR technology in diagnosing English…
Descriptors: Automation, Computer Software, Handheld Devices, Diagnostic Tests
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Woodworth, Johanathan; Barkaoui, Khaled – TESL Canada Journal, 2020
While feedback is widely considered essential for second language (L2) writing development (Bitchener & Ferris, 2012), teachers may not always be able to provide their learners with immediate and frequent corrective feedback. Automated writing evaluation (AWE) systems can help respond to this challenge by providing L2 learners with written…
Descriptors: Writing Evaluation, Feedback (Response), Error Correction, Second Language Instruction
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Zhang, Ruofei; Zou, Di – Computer Assisted Language Learning, 2022
Technology-enhanced collaborative writing for second language learning has been receiving accumulating attention from researchers and educators over years. However, there was a lack of updated review with foci on the types and effectiveness of technologies in collaborative writing. This study conducted a systematic and in-depth review of 34…
Descriptors: Collaborative Writing, English (Second Language), Second Language Learning, Second Language Instruction
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Chen, Mei-Hua – International Journal of Computer-Assisted Language Learning and Teaching, 2019
It is not uncommon to see lists of semantically equivalent phrases in pedagogical materials. However, empirical investigations of the effect of synonymous phrase learning on vocabulary development are rarely attempted. The current study promotes computer-assisted synonymous phrase learning by introducing PREFER, a corpus-based paraphrasing system.…
Descriptors: Computer Assisted Instruction, Educational Technology, Technology Uses in Education, Vocabulary Development
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Qin, Ying – International Journal of Computer-Assisted Language Learning and Teaching, 2019
This study extracts the comments from a large scale of Chinese EFL learners' translation corpus to study the taxonomy of translation errors. Two unsupervised machine learning approaches are used to obtain the computational evidences of translation error taxonomy. After manually revision, ten types of English to Chinese (E2C) and eight types…
Descriptors: Taxonomy, Translation, Computer Assisted Instruction, Second Language Learning
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Vakili, Shokoufeh; Ebadi, Saman – Computer Assisted Language Learning, 2022
Theoretically grounded in Vygotsky's sociocultural theory of mind, Dynamic Assessment (DA) provides researchers with the opportunity to investigate different aspects of learners' developmental trajectory, including the ways they overcome their errors. As a qualitative inquiry into the nature of errors reflecting learners' development in academic…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Assisted Testing
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Bailey, Daniel; Lee, Andrea Rakushin – TESOL International Journal, 2020
Different genres of writing entail various levels of syntactic and lexical complexity, and how this complexity influences the results of Automatic Writing Evaluation (AWE) programs like Grammarly in second language (L2) writing is unknown. This study explored the use of Grammarly in the L2 writing context by comparing error frequency, error types…
Descriptors: Grammar, Computer Assisted Instruction, Error Correction, Feedback (Response)
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Manegre, Marni; Gutiérrez-Colón, Mar; Gisbert, Mercè – The EUROCALL Review, 2019
This paper presents the first phase of a study conducted to analyze Knowledge Building forums for evidence of second language acquisition. This study is an analysis of the posts within an existing forum in search of evidence of foreign language learning. The analysis found that the collaborative writing project shows evidence that the students…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Mediated Communication
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Erdogu Yilmaz, Sule – Online Submission, 2017
Teaching Turkish as a foreign language (TTFL) has recently gained much importance in modern life. For some reason, a large number of people and students with dissimilar background come from other countries so as to start off a new life primarily in Istanbul and/or many other cities in Turkey. Many of whom need to ensure their arrival and long term…
Descriptors: Second Language Instruction, Second Language Learning, Teaching Methods, Communicative Competence (Languages)
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Cucchiarini, Catia; Nejjari, Warda; Strik, Helmer – Language Learning in Higher Education, 2012
Individualized tutoring and feedback by trained language instructors are known to be optimal for language learning. Providing them is time-consuming and costly, however, and therefore not feasible for the majority of language learners. This applies particularly to pronunciation, where corrective feedback should ideally be synchronous, which makes…
Descriptors: Pronunciation, Coaching (Performance), Computer Assisted Instruction, English (Second Language)
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Flanagan, Brendan; Yin, Chengjiu; Hirokawa, Sachio; Hashimoto, Kiyota; Tabata, Yoshiyuki – International Journal of Distance Education Technologies, 2013
In this paper, the entries of Lang-8, which is a Social Networking Site (SNS) site for learning and practicing foreign languages, were analyzed and found to contain similar rates of errors for most error categories reported in previous research. These similarly rated errors were then processed using an algorithm to determine corrections suggested…
Descriptors: Social Networks, Computer Assisted Instruction, Educational Technology, Second Language Instruction
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