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14 results on '"Choubsaz, Yazdan"'

1. Building the Future by Looking to the Past: The Evolution of Research Strands in Influential CALL Papers

Author

Choubsaz, Yazdan, Jalilifar, Alireza, and Boulton, Alex

Abstract

To trace the evolution of research strands in published Computer Assisted Language Learning (CALL) papers over time, a corpus of 426 highly-cited papers in four major CALL journals ("ReCALL," "CALL," "LL&T," and "CALICO Journal") was compiled and coded using NVivo 12. All identified aspects of technology-mediated language learning and teaching were collected to produce a comprehensive list of 690 recurring research strands and then, by adopting a constant comparison method, were merged to form 119 unique research strands. The top 10 alone represent almost half of all research strands: Computer-Mediated Communication (CMC), writing, vocabulary, feedback, evaluation, learning environment, telecollaboration, design, speaking, and grammar. This paper provides the rationale for the study along with the methodology for data collection and analysis, with a particular focus on the dominant and intermediary strands to inform future CALL publications. [For the complete volume, "Intelligent CALL, Granular Systems and Learner Data: Short Papers from EUROCALL 2022 (30th, Reykjavik, Iceland, August 17-19, 2022)," see ED624779.]

Published
2022

2. Context, Method, and Theory in CALL Research Articles

Author

Choubsaz, Yazdan, Jalilifar, Alireza, and Boulton, Alex

Abstract

This paper is an initial report of the data analysis phase of a larger study that traces the evolution of Computer Assisted Language Learning (CALL). All published Research Articles (RAs) from four major CALL journals -- "ReCALL," "CALL," "Language Learning & Technology" ("LL&T") and "CALICO Journal" -- from the very first issues to the end of 2019 were downloaded, sorted, and checked to form the final corpus of 426 highly cited RAs. The trends and themes (research contexts, research participants, and theoretical and methodological considerations of the RAs) were all recorded to see how CALL has evolved over time. Primary findings indicate that empirical studies where learners are physically or virtually involved in the process of technology-mediated language instruction dominate the field of CALL research. Authors resort to both quantitative and qualitative methodologies for data collection and analysis, though mixed-methods has gained more weight in the past two decades. Sociocultural theory stands over and above other theories in Second Language Acquisition (SLA) to frame CALL studies. The paper discusses these issues, and problems detected. [For the complete volume, "CALL and Professionalisation: Short Papers from EUROCALL 2021 (29th, Online, August 26-27, 2021)," see ED616972.]

Published
2021

3. Laying the Groundwork for a Historical Overview of High-Impact CALL Papers

Author

Choubsaz, Yazdan, Boulton, Alex, and Jalilifar, Alireza

Abstract

This study traces the evolution of Computer Assisted Language Learning (CALL) through published Research Articles (RAs) in four major journals: "ReCALL," "CALL," "Language Learning & Technology (LL&T)," and "CALICO Journal." The paper outlines the rationale and the methodology of this, which begins with downloading all 2,397 full RAs published in English, from the very first issues up to the end of 2019. This preliminary report already gives an overview of the history of the field; in particular, the increasing number of papers attests to the healthy state of research in CALL. Subsequent analysis focuses on a subcorpus of 426 papers chosen by the frequency of citation in each year as a gauge of impact within the community. The final analysis will use computer tools to help identify methodologies, themes, and theories as they rise and fall over the years. [For the complete volume, "CALL for Widening Participation: Short Papers from EUROCALL 2020 (28th, Online, August 20-21, 2020)," see ED610330.]

Published
2020

8. A longitudinal analysis of highly cited papers in four CALL journals.

Author

Choubsaz, Yazdan, Jalilifar, Alireza, and Boulton, Alex

Subjects
*COMPUTER assisted language instruction, *LANGUAGE & languages, *DATA analysis, *METHODOLOGY
Abstract

This study traces the evolution of computer-assisted language learning (CALL) by investigating published research articles (RAs) in four major CALL journals: ReCALL, Computer Assisted Language Learning, Language Learning & Technology, and CALICO Journal. All 2,397 RAs published over four decades (1983-2019) were included in the pool of data, and the Google Scholar citation metric was adopted to assess the impact of the papers. By selecting the top 15% of widely cited papers from each individual year, we minimized the time bias between years, enabling a balanced narration of the history of CALL through a representative dataset of 426 high-impact RAs. To identify the evolution of research trends, the contexts, methodologies, theoretical underpinnings and research foci of all 426 RAs were investigated using NVivo 12 and AntConc. The analysis of the data yielded encouraging results such as the upward trend in the number of publications and the international reach of CALL in the last two decades, the physical or virtual presence of language learners with diverse language profiles, and the growing tendency to triangulate methodology for increased complexity. However, long-standing issues such as the heavy reliance on traditional research contexts, poor reporting practices of basic demographic information, the large number of atheoretical papers and the concentration on a limited number of research foci continue to pose challenges in CALL research. Based on the findings, the paper suggests solutions for the controversies and addresses key issues for future research in CALL. [ABSTRACT FROM AUTHOR]

Published
2024
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11. Context, method & theory in CALL research articles

Author

Choubsaz, Yazdan, Jalilifar, Alireza, Boulton, Alex, Analyse et Traitement Informatique de la Langue Française (ATILF), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), N. Zoghlami, C. Brudermann, C. Sarré, M. Grosbois, L. Bradley, S. Thouësny, Boulton, Alex, and N. Zoghlami, C. Brudermann, C. Sarré, M. Grosbois, L. Bradley, & S. Thouësny

Subjects
[SCCO.LING] Cognitive science/Linguistics, [SCCO.LING]Cognitive science/Linguistics, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2021

14. To Use or Not to Use the Shorter Forms: A Corpus-Based Analysis of the Apologetic Expressions “Sorryand I’m sorry” in American Spoken English Discourse

Author

Arizavi, Saleh and Choubsaz, Yazdan

Abstract

This corpus-based study explores how linguistic and sociocognitive factors designate when, why, and how speakers say sorryand I’m sorryin two corpora of American spoken English; namely, Michigan Corpus of Academic Spoken English and Corpus of Contemporary American English. It is well-documented that a given word and its surrounding words or phrases bear a mutual impact on one another’s function. This study tries to cast some light on the shades of differences between sorryand I’m sorry, which seem to be taken for granted by non-native speakers of English, through analyzing one academic and one non-academic corpora. The results of the functional analysis suggest that most instances of the word sorrywere used to indicate interruption, self-repair, and expressing regret, whereas I’m sorrywas chiefly exploited to express regret and apology. The use of either sorryor I’m sorrywas guided by the function intended by the interlocutor. These findings are justified with reference to form–function mappings, sociocognitive alignments, and other discourse considerations.

Published
2019
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