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Mobile Learning to Support Self-Regulated Learning: A Theoretical Review

Author

Listed:
  • Martine Baars

    (Erasmus University, The Netherlands)

  • Olga Viberg

    (KTH Royal Institute of Technology, Sweden)

Abstract

This paper discusses the possibilities of using and designing mobile technology for learning purposes coupled with learning analytics to support self-regulated learning (SRL). Being able to self-regulate one's own learning is important for academic success but is also challenging. Research has shown that without instructional support, students are often not able to effectively regulate their own learning. This is problematic for effective self-study and stands in the way of academic success. Providing instructional support for both metacognitive processes such as planning, monitoring, and reflection and cognitive processes such as learning strategies can help students to learn in a self-regulated way more optimally. Mobile learning provides opportunities to provide ‘just in time' support for both cognitive and metacognitive processes. To provide insights into how mobile learning can support SRL, this theoretical review discusses selected studies that have used mobile learning to support SRL in different domains.

Suggested Citation

  • Martine Baars & Olga Viberg, 2022. "Mobile Learning to Support Self-Regulated Learning: A Theoretical Review," International Journal of Mobile and Blended Learning (IJMBL), IGI Global, vol. 14(4), pages 1-12, October.
    • Handle: RePEc:igg:jmbl00:v:14:y:2022:i:4:p:1-12
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJMBL.315628
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    References listed on IDEAS

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    1. Olga Viberg & Annika Andersson, 2019. "The Role of Self-Regulation and Structuration in Mobile Learning," International Journal of Mobile and Blended Learning (IJMBL), IGI Global, vol. 11(4), pages 42-58, October.
    2. Stinebrickner, Ralph & Stinebrickner, T.R.Todd R., 2004. "Time-use and college outcomes," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 243-269.
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    Cited by:

    1. Mihaela Moca & Alina Badulescu, 2023. "Determinants of Economical High School Students’ Attitudes toward Mobile Devices Use," Sustainability, MDPI, vol. 15(12), pages 1-21, June.

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