Are MOOCs a new way of learning in engineering education in light of the literature? A systematic review and bibliometric analysis


Turan Z., Yılmaz R. M.

Journal of Engineering Education, cilt.113, sa.4, ss.959-985, 2024 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 113 Sayı: 4
  • Basım Tarihi: 2024
  • Doi Numarası: 10.1002/jee.20580
  • Dergi Adı: Journal of Engineering Education
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, Academic Search Premier, Applied Science & Technology Source, Compendex, EBSCO Education Source, Education Abstracts, ERIC (Education Resources Information Center), INSPEC
  • Sayfa Sayıları: ss.959-985
  • Anahtar Kelimeler: bibliometric analysis, engineering education, massive open online courses, MOOCs, systematic review
  • Atatürk Üniversitesi Adresli: Evet

Özet

Background: Massive open online courses (MOOCs) have gained popularity as a form of distance education, highlighting the need for additional research. Various studies have systematically examined scholarly research on MOOCs. However, the reviewed academic publications on the use of MOOCs in engineering education are limited. Purpose/Hypothesis(es): This study aims to examine the implementation of MOOCs in engineering education using systematic review and bibliometric analysis methods. Design/Method: This study examines 68 studies from the Web of Science database that fall within the scope of the systematic review and 257 studies for bibliometric analysis. Results: Since 2018, there has been a growing number of studies exploring the uses of MOOCs in engineering education. The quantitative research method is the most preferred, while the mixed method is the least preferred. The study found that using MOOCs in engineering education resulted in positive student perceptions and satisfaction. However, the lack of interactivity between learners and instructors or among learners was the most frequently reported problem. Moreover, the bibliometric analysis indicates that reviewed studies extensively explore learners' engagement, interactions, and feedback processes. Recently, academic research focused on sentiment analysis, deep learning, educational technology, machine learning, and text mining. Conclusions: There is a need for further investigation into utilizing MOOCs in engineering education. This study's evaluation of MOOCs' pros and cons yields essential insights for optimizing their use in engineering education. By leveraging the positive aspects outlined in the study, educators can enhance engineering students' satisfaction and participation in MOOCs. These findings offer a valuable resource for researchers exploring MOOC-related topics in engineering education.