Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Multimodal composing and second language acquisition

Bibliographic Data

ID11438951
AuthorsJungmin Lim (0000-0002-4614-7652, Dankook University, corresponding author), Matt Kessler (0000-0001-5264-0059, University of South Florida)
Year2024
Volume57
Issue2
Pages183-202
Publication date2024-04-01
Open AccessYes
TypeARTICLE
VenueLanguage Teaching (JOURNAL)
Journal identifiersISSN: 0261-4448 • E-ISSN: 1475-3049
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s0261444823000125
OpenAlexW4372319001
LanguageEN
Citations received11
References cited16

Multimodal composing, which has sometimes been referred to synonymously as multimodal composition or multimodal writing, is the use of different semiotic resources (e.g., audio, visual, gestural, and/or spatial resources) in addition to linguistic text for making meaning. Notably, multimodal composing is neither a new type of writing nor a new area of research, with studies dating back to the early 2000s. In the domain of second language (L2) research, Tardy's (2005*) study on multimodal composition in academia was one of the earliest to bring attention to the nonlinguistic features of L2 written output. Even after this pioneering study, in the few years that followed, only a handful of studies further explored aspects of L2 learners’ multimodal compositions. However, over the past decade, the fields of applied linguistics and second language acquisition (SLA) have witnessed an explosion of interest in both its study and classroom applications, with teachers’ adoption of multiple modes becoming an indispensable part of their pedagogical toolkits (e.g., Kessler, 2022; Li, 2021; Zhang et al., 2021)

Composition (language · Linguistics · Meaning (existential · Multimodality · Second-language acquisition · Semiotics · Computer Science · Discourse Analysis in Language Studies · EFL/ESL Teaching and Learning · Literacy, Media, and Education · Philosophy · Psychology

  • Technology and Teaching Writing

    Open Access•Inyoung, Mahdi Duris et al.•Encyclopedia of Applied Linguistics•2026

  • Multimodal composing and L2 learning

    Open Access•Rosa M Manchón•Studies in Second Language…•2026

  • Digital multimodal composing

    Open Access•Matt Kessler•Studies in Second Language…•2026

  • Evaluating generative artificial intelligence’s role in enhancing feedback for digital multimodal compositions

    Open Access•Kai Guo, Danling Li et al.•Computer Assisted Language Learning•2026

  • Investigating students’ cognitive processes in generative AI-assisted digital multimodal composing and traditional writing

    Open Access•Meilu Liu, Long Jiang Zhang et al.•Computers & Education•2024

  • Enhancing Academic Writing in a Linguistics Course with Generative AI

    Open Access•Lixun Wang, Boyuan Ren•Education Sciences•2024

  • Generative artificial intelligence and L2 writing

    Open Access•Matt Kessler•Language Teaching•2026

  • Mapping the Research Terrain of Digital Multimodal Composing in L2 Contexts

    Open Access•Yu Zhang, Dianyong Zhu et al.•European Journal of Education•2025

  • Digital multimodal composing in L2 classrooms

    Open Access•Lianjiang Jiang, Christoph A Hafner et al.•Language Teaching•2025

  • Interplay among assessment practices, legitimacy of multimodality and learner identity

    Open Access•Qiyun Zhu, Yiqiong Zhang et al.•System•2025

  • Quality and predictors of L2 digital multimodal composition

    Open Access•Matthew Herzog, Jeong-Eun Kim et al.•System•2025

  • Multimodality and Literacy in School Classrooms

    Open Access•Carey Jewitt•Review of Research in Education•2008

  • Toward an integrative framework for understanding multimodal L2 writing in the content areas

    Open Access•Scott Grapin, Lorena Llosa•Journal of Second Language Writing•2020

  • Technology-mediated task-based language teaching

    Open Access•Bryan Smith, Marta González‐lloret et al.•Language Teaching•2021

  • Multimodality

    Gunther Kress•TESOL Quarterly•2000

Citations per year5.5
Citation span2024 - 2026 (3)
Highly citedNo

Tools

Open DOI
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae