How Output Outweighs Input and Interlocutors Matter for Study-Abroad SLA: Computational Social Network Analysis of Learner Interactions

Autor/inn/en	Paradowski, Michal B.; Cierpich-Koziel, Agnieszka; Chen, Chih-Chun; Ochab, Jeremi K.
Titel	How Output Outweighs Input and Interlocutors Matter for Study-Abroad SLA: Computational Social Network Analysis of Learner Interactions
Quelle	In: Modern Language Journal, 106 (2022) 4, S.694-725 (32 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Paradowski, Michal B.) ORCID (Cierpich-Koziel, Agnieszka) ORCID (Chen, Chih-Chun) ORCID (Ochab, Jeremi K.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0026-7902
DOI	10.1111/modl.12811
Schlagwörter	Study Abroad; Social Networks; Network Analysis; German; Intensive Language Courses; Second Language Instruction; Second Language Learning; Peer Relationship; Foreign Students; Exchange Programs; Linguistic Input; Predictor Variables; Computational Linguistics; English; Native Speakers + Suchen Sie Ihr Suchwort? Studies abroad; Auslandsstudium; Social network; Soziales Netzwerk; Netzplantechnik; Deutscher; Intensivkurs; Sprachkurs; Fremdsprachenunterricht; Zweitsprachenerwerb; Peer-Beziehungen; Exchange programme; Exchange program; Exchange programmes; Austauschprogramm; Sprachbildung; Prädiktor; Linguistics; Computerlinguistik; English language; Englisch; Muttersprachler
Abstract	This data-driven study framed in the interactionist approach investigates the influence of social graph topology and peer interaction dynamics among foreign exchange students enrolled in an intensive German language course on second language acquisition (SLA) outcomes. Applying the algorithms and metrics of computational social network analysis (SNA), we find that (a) the best predictor of target language (TL) performance is reciprocal interactions in the language being acquired, (b) the proportion of output in the TL is a stronger predictor than input (Principle of Proportional Output), (c) there is a negative relationship between performance and interactions with same-first-language speakers, (d) a significantly underperforming English native-speaker dominated cluster is present, and (e) there are more intense interactions taking place between students of different proficiency levels. Unlike previous study abroad social network research concentrating on the microlevel of individual learners' egocentric networks and presenting an emic view only, this study constitutes the first application of computational SNA to a complete learner network (sociogram). It provides new insights into the link between social relations and SLA with an etic perspective, showing how social network configuration and peer learner interaction are stronger predictors of TL performance than individual factors such as attitude or motivation, and offering a rigorous methodology for investigating the phenomenon. (As Provided).
Anmerkungen	Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01