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Article: Investigating L2 learners’ text-to-video resemiotisation in AI-enhanced digital multimodal composing

TitleInvestigating L2 learners’ text-to-video resemiotisation in AI-enhanced digital multimodal composing
Authors
Issue Date25-Mar-2025
PublisherTaylor and Francis Group
Citation
Computer Assisted Language Learning, 2025, v. 131 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/362504
ISSN
2023 Impact Factor: 6.0
2023 SCImago Journal Rankings: 2.370

 

DC FieldValueLanguage
dc.contributor.authorLi, Danling-
dc.contributor.authorXia, Sichen-
dc.contributor.authorGuo, Kai-
dc.date.accessioned2025-09-25T00:30:14Z-
dc.date.available2025-09-25T00:30:14Z-
dc.date.issued2025-03-25-
dc.identifier.citationComputer Assisted Language Learning, 2025, v. 131-
dc.identifier.issn0958-8221-
dc.identifier.urihttp://hdl.handle.net/10722/362504-
dc.languageeng-
dc.publisherTaylor and Francis Group-
dc.relation.ispartofComputer Assisted Language Learning-
dc.titleInvestigating L2 learners’ text-to-video resemiotisation in AI-enhanced digital multimodal composing-
dc.typeArticle-
dc.identifier.doi10.1080/09588221.2025.2481402-
dc.identifier.volume131-
dc.identifier.eissn1744-3210-
dc.identifier.issnl0958-8221-

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