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Leveraging translanguaging in GenAI-enhanced language classes: capturing its impact on multilingual English learners' achievement emotions and academic engagement through latent growth curve modelling (LGCM)

Derakhshan, Ali; Wei, Li; (2026) Leveraging translanguaging in GenAI-enhanced language classes: capturing its impact on multilingual English learners' achievement emotions and academic engagement through latent growth curve modelling (LGCM). International Journal of Multilingualism 10.1080/14790718.2025.2610253. (In press). Green open access

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Abstract

The present research traced the growth trajectories of multilingual English learners’ achievement emotions and academic engagement in generative artificial intelligence (GenAI)-enhanced classes and examined the effects of translanguaging pedagogy as an emotional scaffolding strategy in this context. Using purposive sampling, 342 multilingual English learners were selected and randomly assigned to either a control group or a treatment group. Data were collected at three time points using two validated questionnaires and analyzed via latent growth curve modelling (LGCM) and repeated measures multivariate analysis of variance (RM MANOVA). The analysis exhibited an upward trajectory in the development of learners’ positive achievement emotions and academic engagement. The results further indicated that translanguaging significantly promoted learners’ positive achievement emotions and reduced their negative achievement emotions, which, in turn, increased their academic engagement. These findings highlight the contributions of translanguaging pedagogy in GenAI-enhanced classrooms and call for more linguistically responsive instructional designs that recognise and build on learners’ multilingual repertoires.

Type: Article
Title: Leveraging translanguaging in GenAI-enhanced language classes: capturing its impact on multilingual English learners' achievement emotions and academic engagement through latent growth curve modelling (LGCM)
Open access status: An open access version is available from UCL Discovery
DOI: 10.1080/14790718.2025.2610253
Publisher version: https://doi.org/10.1080/14790718.2025.2610253
Language: English
Additional information: This version is the author accepted manuscript. It has been made open access under the Creative Commons (CC BY) licence under the terms of the UCL Intellectual Property (IP) Policy and UCL Publications Policy.
Keywords: Academic engagement, achievement emotions, Education & Educational Research, generative artificial intelligence (GenAI), Language & Linguistics, latent growth curve modelling (LGCM), Linguistics, multilingual English learners, Social Sciences, translanguaging
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education > IOE - Culture, Communication and Media
URI: https://discovery.ucl.ac.uk/id/eprint/10220497
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