Work-in-progress: model of self-regulated smart learning environment

Yusufu Gambo*, Muhammad Zeeshan Shakir

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)
45 Downloads (Pure)


The use of smart and mobile technologies provides a smart learning environment that can support diverse learning needs. The self-regulated learning process has been identified as one of the strategies that can support students in the online learning environment. Metacognitive skills such as goal setting, task strategy, self-reaction, help-seeking, time management can be developed in a smart learning environment to support the learning process. However, despite the increasing research in the smart learning environment, there is a scarcity of well-documented work on how the metacognitive components in a smart learning environment could be modeled to support the development of a self-regulated smart learning environment. This paper explored the metacognitive components in the smart learning environment to propose the hybrid model, referred to as MSLEM: Metacognitive Smart Learning Environment Model which can be beneficial to researchers for providing a personalized learning environment for supporting the online learning process
Original languageEnglish
Title of host publicationProceedings of the 2021 IEEE World Conference on Engineering Education (EDUNINE)
Subtitle of host publicationThe Future of Engineering Education: Current Challenges and Opportunities
EditorsClaudio da Rocha Brito, Melany M. Ciampi
Place of PublicationPiscataway, NJ
Number of pages4
ISBN (Electronic)9781665403023
ISBN (Print)9781665448321
Publication statusPublished - 19 May 2021
EventIEEE World Conference on Engineering Education - Guatemala, Guatemala
Duration: 14 Mar 202117 Mar 2021


ConferenceIEEE World Conference on Engineering Education
Abbreviated titleEDUNINE2021
Internet address


  • smart learning environment
  • self-regulated learning
  • metacognitive skills
  • learning model


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