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Viberg, Olga; Wasson, Barbara and Kukulska-Hulme, Agnes
(2020).
DOI: https://doi.org/10.14742/ajet.6494
Abstract
Many adult second and foreign language learners have insufficient opportunities to engage in language learning. However, their successful acquisition of a target language is critical for various reasons, including their fast integration in a host country and their smooth adaptation to new work or educational settings. This suggests that they need additional support to succeed in their second language acquisition. We argue that such support would benefit from recent advances in the fields of mobile-assisted language learning, self-regulated language learning, and learning analytics. In particular, this paper offers a conceptual framework, mobile-assisted language learning through learning analytics for self-regulated learning (MALLAS), to help learning designers support second language learners through the use of learning analytics to enable self-regulated learning. Although the MALLAS framework is presented here as an analytical tool that can be used to operationalise the support of mobile-assisted language learning in a specific exemplary learning context, it would be of interest to researchers who wish to better understand and support self-regulated language learning in mobile contexts.
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About
- Item ORO ID
- 74599
- Item Type
- Journal Item
- ISSN
- 1449-5554
- Keywords
- mobile learning; MALL; mobile assisted language learning; self-regulation; autonomy; conceptual framework; mobile learning design
- Academic Unit or School
- Institute of Educational Technology (IET)
- Research Group
-
Centre for Research in Education and Educational Technology (CREET)
OpenTEL - Copyright Holders
- © 2020 Olga Viburg, © 2020 Barbara Wasson, © 2020 Agnes Kukulska-Hulme
- Depositing User
- Agnes Kukulska-Hulme