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)
Golestan University · University College London
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’…
Citation impact
- FWCI
- 1386.69
- Percentile
- 100%
- References
- 37
Authors
2- ADAli DerakhshanCorresponding
Golestan University, University College London
- LWLi Wei
University College London
Topics & keywords
- Translanguaging
- Multilingualism
- Language acquisition
- Language proficiency
- Student engagement
- Latent growth modeling
- Neuroscience of multilingualism
- Discourse analysis
- Quality Education