Developing a Framework for Mobile Assisted Language Learning through Learning Analytics for Self-Regulated Learning

Viberg, Olga; Wasson, Barbara and Kukulska-Hulme, Agnes (2021). Developing a Framework for Mobile Assisted Language Learning through Learning Analytics for Self-Regulated Learning. In: Companion Proceedings 10th International Conference on Learning Analytics & Knowledge (LAK21), Society for Learning Analytics Research (SoLAR).

URL: https://www.solaresearch.org/events/lak/lak21/

Abstract

Mobile Assisted Language Learning through Learning Analytics (MALLAS) is a conceptual framework to aid learning designers in developing effective support for second- and foreign language (L2) learners through the application of learning analytics to facilitate self-regulated language learning across learning settings. Designing sound support mechanisms to develop adult L2 learners’ ability to self-regulate their language learning process is important since many of them have limited opportunities to participate in language classes. MALLAS can be used to assist in design choices when developing theoretically underpinned mobile assisted language learning applications and/or services.

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  • Item ORO ID
  • 75260
  • Item Type
  • Conference or Workshop Item
  • Extra Information
  • Creative Commons License, Attribution - NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0)
  • Academic Unit or School
  • Institute of Educational Technology (IET)
  • Copyright Holders
  • © 2021 Olga Viberg, © 2021 Barbara Wasson, © 2021 Agnes Kukulska-Hulme
  • Depositing User
  • Agnes Kukulska-Hulme
CORE (COnnecting REpositories)

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