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Ahmet Çekiç – Computer Assisted Language Learning, 2024
Despite increasing number of studies on incidental vocabulary learning through viewing in a foreign language, glosses, which have been proven to have facilitative effects in incidental vocabulary learning via other modes of input, have remained underexplored in audiovisual input. The current study investigates the effects of (1) traditional gloss…
Descriptors: Incidental Learning, Linguistic Input, Audiovisual Instruction, Teaching Methods
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
Lee, Sangmin-Michelle – Computer Assisted Language Learning, 2023
With a significant number of students using machine translation (MT) for academic purposes in recent years, language teachers can no longer ignore it in their classrooms. Although an increasing number of studies have reported its pedagogical benefits, studies have also revealed that language teachers are still sceptical about using MT for various…
Descriptors: Instructional Effectiveness, Teaching Methods, Translation, Second Language Learning
Siowai Lo – Computer Assisted Language Learning, 2025
Neural Machine Translation (NMT) has gained increasing popularity among EFL learners as a CALL tool to improve vocabulary, and many learners have reported its helpfulness for vocabulary learning. However, while there has been some evidence suggesting NMT's facilitative role in improving learners' writing on the lexical level, no study has examined…
Descriptors: Translation, Computational Linguistics, Vocabulary Development, English (Second Language)
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
Lin, Vivien; Barrett, Neil E.; Liu, Gi-Zen; Chen, Nian-Shing; Jong, Morris Siu-Yung – Computer Assisted Language Learning, 2023
The field of language education has experienced a rise in using virtual reality (VR) to support interactive, contextualized, and collaborative language learning in recent years. The current study investigates the effects of auditory, visual, and textual input on speaking and writing in English for Tourism Purposes (ETP) through immersive,…
Descriptors: Tourism, English for Special Purposes, Undergraduate Students, Computer Simulation
Qing Ma; Rui Yuan; Lok Ming Eric Cheung; Jing Yang – Computer Assisted Language Learning, 2024
The development of corpus-based language pedagogy (CBLP) is a complex and intriguing process that pertains to how corpus technology is directly applied to classroom teaching. Using a case study approach, this study investigated how two experienced university English teachers integrated corpus technology in authentic classroom teaching. Data…
Descriptors: Teaching Methods, Pedagogical Content Knowledge, Computational Linguistics, English (Second Language)
Pérez-Paredes, Pascual – Computer Assisted Language Learning, 2022
This research uses the theoretical framework of CALL normalisation developed by Bax (2003) and Chambers and Bax (2006) to offer a systematic review (Gough et al., 2012) of the uses and spread of data-driven learning (DDL) and corpora in language learning and teaching across five major CALL-related journals during the 2011-2015 period. DDL research…
Descriptors: Computational Linguistics, Teaching Methods, Computer Assisted Instruction, Second Language Learning
Huang, Ping-Yu; Tsao, Nai-Lung – Computer Assisted Language Learning, 2021
In this article, we describe an online English collocation explorer developed to help English L2 learners produce correct and appropriate collocations. Our tool, which is able to visually represent relevant correct/incorrect collocations on a single webpage, was designed based on the notions of collocation clusters and intercollocability proposed…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Error Correction
Poole, Robert – Computer Assisted Language Learning, 2022
The present study explores the attitudes of novice teachers towards corpus-aided language learning and teaching in an undergraduate writing course for multilingual students at a large US public university. The participating instructors facilitated approximately 75 minutes of corpus training for their students and implemented 4-6 corpus activities…
Descriptors: Undergraduate Students, Beginning Teachers, Computational Linguistics, Second Language Learning
Guoyuhui Huang; Khe Foon Hew – Computer Assisted Language Learning, 2024
Over the past two decades, the Involvement Load Hypothesis (ILH) has become a popular buzzword in the field of Second Language Acquisition (SLA). Although applications of the ILH can improve students' learning of productive vocabulary, this effect appears to be transitory. Students' learning of productive vocabulary often fades over time, as shown…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Vocabulary Development
Cucchiarini, Catia; Hubers, Ferdy; Strik, Helmer – Computer Assisted Language Learning, 2022
Idiomatic expressions like "hit the road" or "turn the tables" are known to be problematic for L2 learners, but research indicates that learning L2 idiomatic language is important. Relatively few studies, most of them focusing on English idioms, have investigated how L2 idioms are actually acquired and how this process is…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Teaching Methods
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
Loncar, Michael; Schams, Wayne; Liang, Jong-Shing – Computer Assisted Language Learning, 2023
The following review incorporates a systematic selection, coding, and analysis methodology in order to compile a corpus of empirical research studies that investigate the use of technology-mediated feedback in L2 writing contexts published from 2015-2019. Trends are identified by coding and quantitatively analyzing key parameters of the corpus,…
Descriptors: Research Reports, Writing Instruction, Feedback (Response), Technology Uses in Education
Galip Kartal – Computer Assisted Language Learning, 2024
The overarching goal of this design-based research was to explore WhatsApp's potential for facilitating and supporting speaking and pronunciation instruction in an EFL large-class speaking course. More specifically, this paper explored the perceived learning outcomes of WhatsApp-supported pedagogy in large English-speaking classes. Ninety-nine…
Descriptors: Computer Software, English (Second Language), Second Language Instruction, Second Language Learning