Building the Future by Looking to the Past: The Evolution of Research Strands in Influential CALL Papers [Konferenzbericht] Paper presented at the EUROCALL 2022 Conference (30th, Reykjavik, Iceland, Aug 17-19, 2022).

Autor/inn/en	Choubsaz, Yazdan; Jalilifar, Alireza; Boulton, Alex
Titel	Building the Future by Looking to the Past: The Evolution of Research Strands in Influential CALL Papers [Konferenzbericht] Paper presented at the EUROCALL 2022 Conference (30th, Reykjavik, Iceland, Aug 17-19, 2022).
Quelle	(2022), (7 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	ORCID (Choubsaz, Yazdan) ORCID (Jalilifar, Alireza) ORCID (Boulton, Alex)
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Computer Assisted Instruction; Teaching Methods; Periodicals; Citations (References); Research Reports; Technology Uses in Education; Grounded Theory; Futures (of Society); Trend Analysis; Educational Trends; Computational Linguistics; Second Language Learning; Second Language Instruction; Journal Articles + Suchen Sie Ihr Suchwort? Computer based training; Computerunterstützter Unterricht; Teaching method; Lehrmethode; Unterrichtsmethode; Periodical; Journal; Zeitschrift; Fachzeitschrift; Periodikum; Citations; Zitat; Research report; Forschungsbericht; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Future; Society; Zukunft; Trendanalyse; Bildungsentwicklung; Linguistics; Computerlinguistik; Zweitsprachenerwerb; Fremdsprachenunterricht; Journal article; Zeitschriftenaufsatz
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.] (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01