IDEAS home Printed from https://ideas.repec.org/a/ibn/hesjnl/v15y2025i4p422.html

Design of the System Architecture of Competency-Based MOOC Using Microlearning Objects to Facilitate Upskilling and Reskilling for Industrial Workforce: Digital MicroLearn

Author

Listed:
  • Thongchai Arunchai
  • Arnut Ruttanatirakul
  • Jesada Is-haak
  • Suchada Boonsri
  • Vitsanu Nittayathammakul

Abstract

In response to rapid technological advancements, higher education institutions face an urgent need for innovative, competency-based learning systems to address workforce development challenges. This research aims to design and validate the competency-based MOOC system architecture using microlearning objects, referred to as the digital MicroLearn system architecture, to facilitate upskilling and reskilling for the industrial workforce. The study employs a mixed methods research (MMR) design comprising three phases- Phase 1, qualitative data were gathered through focus group discussions (FGDs) with experts and industry stakeholders to identify practical needs, challenges, and system requirements; Phase 2, design and validation of the system architecture; and Phase 3, expert review to assess the system's suitability. The findings highlight that the system capably supports competency-based microlearning activities, with Moodle as the core MOOC platform integrating H5P for interactive content, YouTube for video delivery, and cmi5 and xAPI for learner progress tracking via a Learning Record Store (LRS). The responsive interface ensures compatibility across devices, enhancing microlearning efficiency and learner engagement. Expert evaluations confirmed the architecture's suitability for industrial workforce development, with an overall mean score of 4.42 ± 0.48, indicating agreement. Future research should investigate the implementation of the system in real-world educational settings to assess its scalability and adaptability across diverse institutional contexts. Additionally, studies should examine its effectiveness in enhancing competency-based learning experiences and its long-term impact on institutional performance and learner outcomes.

Suggested Citation

  • Thongchai Arunchai & Arnut Ruttanatirakul & Jesada Is-haak & Suchada Boonsri & Vitsanu Nittayathammakul, 2025. "Design of the System Architecture of Competency-Based MOOC Using Microlearning Objects to Facilitate Upskilling and Reskilling for Industrial Workforce: Digital MicroLearn," Higher Education Studies, Canadian Center of Science and Education, vol. 15(4), pages 422-422, November.
    • Handle: RePEc:ibn:hesjnl:v:15:y:2025:i:4:p:422
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/hes/article/download/0/0/52405/57072
    Download Restriction: no
    File URL: https://ccsenet.org/journal/index.php/hes/article/view/0/52405
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Konstantinos Lavidas & Stamatis Papadakis & Andromachi Filippidi & Christopher Karachristos & Anastasia Misirli & Aggeliki Tzavara & Vassilis Komis & Nikos Karacapilidis, 2023. "Predicting the Behavioral Intention of Greek University Faculty Members to Use Moodle," Sustainability, MDPI, vol. 15(7), pages 1-12, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jia Miao & Li Ma, 2023. "Teacher Autonomy Support Influence on Online Learning Engagement: The Mediating Roles of Self-Efficacy and Self-Regulated Learning," SAGE Open, , vol. 13(4), pages 21582440231, December.
    2. Artan Veseli & Petrit Hasanaj & Agron Bajraktari, 2025. "Perceptions of Organizational Change Readiness for Sustainable Digital Transformation: Insights from Learning Management System Projects in Higher Education Institutions," Sustainability, MDPI, vol. 17(2), pages 1-21, January.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:hesjnl:v:15:y:2025:i:4:p:422. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.