Volume 28 Number 1, 2024 Multimodal interactive alignment: Language learners’ interaction in CMC tasks through Instagram

Multimodal interactive alignment: Language learners’ interaction in CMC tasks through Instagram

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July 28, 2024, 1:34 a.m.
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Dec. 16, 2024, 7:21 p.m.
bitstream:
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bitstream_txt:
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collection:
Volume 28 Number 1, 2024
contributor.author:
Muntaha, Muntaha Chen, Julian Dobinson, Toni
date.accessioned:
2024-05-02T21:36:34Z
date.available:
2024-05-02T21:36:34Z
date.copyright:
2024
date.issued:
2024-05-06
description.abstract:
Technological advancement has enabled language learners to employ verbal and nonverbal cues in computer-mediated communication (CMC). These cues can support language use for learners wishing to communicate more effectively in English. Interactive alignment is one phenomenon that shows how humans tend to collaborate in their language use by adapting, priming, and reusing verbal and nonverbal cues to achieve mutual understanding. Informed by a sociocognitive framework, this study explored and documented English language learners’ multimodal interactive alignment during their CMC task engagement through Instagram. We collected data from 30 first-year Indonesian business school learners who participated in seven online CMC tasks using Instagram chat features: text chat, voice chat, and video chat. To examine various interactive alignments (e.g., how interlocutors adapt, prime, and reuse verbal and nonverbal cues to achieve mutual understanding) that occurred during multimodal task communication, we employed multimodal (inter)action analysis. Findings revealed that learners adapted and reused various nonverbal features (e.g., emojis, GIFs, facial expressions, gestures) and verbal cues (e.g., expression, lexical) to convey and comprehend meaning during CMC task completion. Caveats about using various nonverbal alignment patterns for supporting better English online communication were also noted. The study highlights how language learners use the full repertoire of semiotic resources in CMC to maximize their online language learning.
endingpage:
27
entity.type:
None
format.extent:
27
identifier.citation:
Muntaha, M., Chen, J., & Dobinson, T. (2024). Multimodal interactive alignment: Language learners’ interaction in CMC tasks through Instagram. Language Learning & Technology, 28(1), 1–27. https://hdl.handle.net/10125/73563
identifier.issn:
1094-3501
identifier.uri:
https://hdl.handle.net/10125/73563
language:
eng
number:
1
publicationname:
Language Learning & Technology
publisher:
University of Hawaii National Foreign Language Resource Center Center for Language & Technology
rights.license:
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
rights.uri:
https://creativecommons.org/licenses/by-nc-nd/4.0/
site_url:
/item/10125-73563/
startingpage:
1
subject:
Interactive Alignment, Multimodal (Inter)action Analysis, Instagram, Computer-Mediated Communication (CMC)
title:
Multimodal interactive alignment: Language learners’ interaction in CMC tasks through Instagram
type:
Article Text
volume:
28