Massive Open Online Courses for Engineering Education: Systematic Literature Review

Authors

  • Rungfa Pasmala King Mongkut's University of Technology North Bangkok image/svg+xml
  • Ampawan Yindeemak RMUTI
  • Ponprom Chooppawa Selaphum Vocational College
  • Manop Nammanee Mahasarakham University image/svg+xml
  • Thada Jantakoon Mahasarakham University image/svg+xml
  • Panita Wannapiroon King Mongkut's University of Technology North Bangkok image/svg+xml
  • Prachyanun Nilsook King Mongkut's University of Technology North Bangkok image/svg+xml

DOI:

https://doi.org/10.46328/ijte.6787

Keywords:

MOOCs, Engineering Education, Blended Learning, Virtual laboratories, Instructional design

Abstract

This systematic literature review synthesizes recent empirical research on the implementation of Massive Open Online Courses (MOOCs) in engineering education published between 2020 and 2024. Following PRISMA 2020 guidelines, ten high-quality studies indexed in ERIC and Scopus were systematically identified, appraised, and analyzed. The review addresses four research questions concerning research methodologies, instructional models, learning outcomes, learner populations, and implementation challenges. The findings indicate that MOOCs are most effective when embedded within integrated pedagogical systems rather than implemented as standalone online courses. Three complementary instructional approaches blended learning, virtual laboratories, and immersive or metaverse-based environments emerge as key mechanisms for supporting higher-order cognitive processes, practical engineering competencies, learner self-efficacy, engagement, and persistence. However, persistent challenges, including high dropout rates, limited hands-on experiences, and contextual constraints, highlight the importance of alignment between instructional design, learner characteristics, and technological infrastructure. The primary contribution of this study is the development of a theoretically grounded conceptual framework that integrates structural, experiential, and contextual dimensions of MOOC-based learning in engineering education. This framework advances current understanding beyond descriptive synthesis by providing an explanatory foundation for instructional design, institutional implementation, and future research on scalable and context-responsive engineering learning environments.

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Published

2026-06-18

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How to Cite

Massive Open Online Courses for Engineering Education: Systematic Literature Review . (2026). International Journal of Technology in Education, 9(3), 633-660. https://doi.org/10.46328/ijte.6787