Volume 29 Number 1, 2025 Using AI to enhance digital multimodal composing: EFL learners’ semiotic decision-making, self-efficacy, enjoyment, and continuance intention

Using AI to enhance digital multimodal composing: EFL learners’ semiotic decision-making, self-efficacy, enjoyment, and continuance intention

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Aug. 13, 2025, 12:47 a.m.
Database record updated on:
Aug. 25, 2025, 7:27 p.m.
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Aug. 25, 2025, 7:27 p.m.
access-status:
open.access
bitstream:
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collection:
Volume 29 Number 1, 2025
contributor.author:
Li, Danling Xia, Sichen Guo, Kai
contributor.editor:
Mimi Li
date.accessioned:
2025-07-04T01:08:32Z
date.available:
2025-07-04T01:08:32Z
date.copyright:
2025
date.issued:
2025-07-07
description.abstract:
Research has demonstrated various advantages of integrating digital multimodal composing (DMC) into the teaching and learning of English as a foreign language (EFL). However, challenges persist, particularly due to the labor-intensive nature of multimodal production. As artificial intelligence (AI) technologies evolve, they provide valuable opportunities to enhance DMC, particularly through innovations like text-to-video generation. This study implemented an AI-enhanced approach to DMC in an academic English course, where students utilized AI-powered text-to-video technology to convert technical proposals into video formats for effective technical pitching. Drawing on data from 75 students, including their video compositions, written reflections, and post-task questionnaire responses, the findings show that students critically assessed the AI-generated videos based on three key criteria: text-video consistency, visual engagement, and auditory elements. Moreover, students reported high levels of self-efficacy, enjoyment, and a strong intent to continue using the technology. This Forum paper emphasizes the necessity of aligning language education with the demands of a digitally mediated and multimodal landscape in the AI era, offering valuable insights for educators and curriculum developers.
endingpage:
15
format:
Article
format.extent:
15
identifier.citation:
Li, D., Xia, S., & Guo, K. (2025). Using AI to enhance digital multimodal composing: EFL learners’ semiotic decision-making, self-efficacy, enjoyment, and continuance intention. Language Learning & Technology, 29(1), 1–15. https://doi.org/10.64152/10125/73636
identifier.doi:
https://doi.org/10.64152/10125/73636
identifier.issn:
1094-3501
identifier.uri:
https://hdl.handle.net/10125/73636
llt.topic:
Language Teacher Education and Technology Forum
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/10125-73636/
startingpage:
1
subject:
English as a Foreign Language, digital multimodal composing, multimodal literacy, artificial intelligence, text-to-video generation
title:
Using AI to enhance digital multimodal composing: EFL learners’ semiotic decision-making, self-efficacy, enjoyment, and continuance intention
type:
Column Text
volume:
29