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Showing 1 to 15 of 16 results Save | Export
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Tanjun Liu; Dana Gablasova – Computer Assisted Language Learning, 2025
Collocations, a crucial component of language competence, remain a challenge for L2 learners across all proficiency levels. While the data-driven learning (DDL) approach has shown great potential for collocation learning from a shorter-term perspective, this study investigates its effectiveness in the long term, examining both linguistic gains and…
Descriptors: Phrase Structure, Learning Analytics, English (Second Language), Second Language Instruction
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Crosthwaite, Peter; Luciana; Wijaya, David – Computer Assisted Language Learning, 2023
The use of corpora for the purposes of language teaching and learning, commonly known as "data-driven learning" (DDL), is gaining popularity across a range of CALL contexts. However, how trainee teachers attempt to develop the technological, pedagogical and content knowledge (TPACK) to integrate corpus tools and DDL pedagogy into…
Descriptors: Computer Assisted Instruction, Teaching Methods, Online Courses, English (Second Language)
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Zare, Javad; Karimpour, Sedigheh; Aqajani Delavar, Khadijeh – Computer Assisted Language Learning, 2023
The purpose of the present study was to investigate if following data-driven learning (DDL) to raise the learners' awareness of discourse organizers through concordancing improves their comprehension of English academic lectures. To address this issue, the current study adopted a quasi-experimental (comparison group, pretest-posttest) design. 96…
Descriptors: Classroom Communication, Discourse Analysis, Computational Linguistics, English for Academic Purposes
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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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Hellmich, Emily A. – Computer Assisted Language Learning, 2021
Recent calls from applied linguistics and from CALL have emphasized the importance of situating the understanding and use of digital tools for language learning within layered contexts. An important component of these layered contexts is societal discourses of technology, which are multiple and far from neutral. In response to these calls, this…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Student Attitudes
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Chen, Hao-Jan Howard; Lai, Shu-Li; Lee, Ken-Yi; Yang, Christine Ting-Yu – Computer Assisted Language Learning, 2023
Knowledge of collocations is essential for English academic writing. However, there are few academic collocation referencing tools available and there is a pressing need to develop more. In this paper, we will introduce the ACOP (Academic Collocations and Phrases Search Engine), a newly developed corpus-based tool to search large academic corpora.…
Descriptors: Academic Language, English for Academic Purposes, Phrase Structure, Computational Linguistics
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Lee, Sangmin-Michelle – Computer Assisted Language Learning, 2020
Although it remains controversial, machine translation (MT) has gained popularity both inside and outside of the classroom. Despite the growing number of students using MT, little is known about its use as a pedagogical tool in the EFL classroom. The present study investigated the role of MT as a CALL tool in EFL writing. Most studies on MT as a…
Descriptors: Translation, Computational Linguistics, English (Second Language), Second Language Learning
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Ranalli, Jim – Computer Assisted Language Learning, 2018
Automated written corrective feedback (AWCF) has qualities that distinguish it from teacher-provided WCF and potentially undermine claims about its value for L2 student writers, including disparities in the amounts of useful information it provides across error types and the fact that inaccuracies in error-flagging must be anticipated. It remains…
Descriptors: Error Correction, Feedback (Response), Computer Assisted Instruction, 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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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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Chen, M.-H.; Huang, S.-T.; Chang, J. S.; Liou, H.-C. – Computer Assisted Language Learning, 2015
Paraphrasing, or restating information using different words, is critical to successful writing. However, EFL learners have difficulty in making paraphrases to meet their writing demands, and there has been little research on developing automatic reference tools to assist these learners' paraphrasing skills for better writing quality. In this…
Descriptors: English (Second Language), Second Language Learning, Computational Linguistics, Dictionaries
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Rezaee, Abbas Ali; Marefat, Hamideh; Saeedakhtar, Afsaneh – Computer Assisted Language Learning, 2015
Collocational competence is recognized to be integral to native-like L2 performance, and concordancing can be of assistance in gaining this competence. This study reports on an investigation into the effect of symmetrical and asymmetrical scaffolding on the collocational competence of Iranian intermediate learners of English in the context of…
Descriptors: Computational Linguistics, Phrase Structure, Scaffolding (Teaching Technique), Foreign Countries
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Varley, Steve – Computer Assisted Language Learning, 2009
Corpus consultation is gaining in prominence as a language learning tool. This approach to language analysis has made its way into the language classroom where its presence ranges from the presentation of printed concordance data with accompanying tasks to the direct use of concordancing software by learners themselves to carry out analyses of…
Descriptors: Vocabulary Development, English (Second Language), Class Activities, Second Language Instruction
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Chang, Wen-Li; Sun, Yu-Chih – Computer Assisted Language Learning, 2009
The present study investigates the effects of scaffolding and web concordancers on students' proofreading performance. The study addresses the following research questions: (1) How does a concordancer search enhance students' proofreading performance? (2) How does scaffolding for concordancer searches enhance students' proofreading performance?…
Descriptors: Proofreading, Student Attitudes, Program Effectiveness, Foreign Countries
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Breyer, Yvonne – Computer Assisted Language Learning, 2009
In recent years, it has become an issue of growing concern that, despite undiminished enthusiasm in the research community, the application of corpus tools and resources in the classroom remains limited. In this paper, I will argue that focusing on the role of the teacher in the process of using corpora in the classroom is an essential step…
Descriptors: Student Teachers, English (Second Language), Teaching Methods, Preservice Teacher Education
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