Quality Evaluation of the Industrial IoT MOOC Course
Diedhiou, Ali Bocar (2026)
2026
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-202604095980
https://urn.fi/URN:NBN:fi:amk-202604095980
Tiivistelmä
This thesis evaluates the quality of an online Industrial Internet of Things (IIoT) course from a learner’s perspective. The course is part of a learning package offered by Metropolia University of Applied Sciences and includes topics such as industrial networking, industrial control systems, IIoT applications and cybersecurity.
The evaluation was conducted using a qualitative approach by completing the course and documenting observations throughout the learning process. The analysis was guided by the MOOC Quality Reference Framework, which provides criteria for assessing online courses from pedagogical, technological and organizational perspectives. The evaluation focused on course content, structure, usability and learner experience.
The results show that the course provides comprehensive and relevant content, a clear structure and meaningful learning activities that support learning objectives. However, some challenges were identified, particularly related to usability, platform complexity and the balance between theoretical and practical content.
The study concludes that while the course meets many key quality criteria, improvements in practical application, platform integration and interactivity could enhance the overall learning experience. The findings can support the development of similar online courses and contribute to improving the quality of technical education in Industry 4.0 contexts.
The evaluation was conducted using a qualitative approach by completing the course and documenting observations throughout the learning process. The analysis was guided by the MOOC Quality Reference Framework, which provides criteria for assessing online courses from pedagogical, technological and organizational perspectives. The evaluation focused on course content, structure, usability and learner experience.
The results show that the course provides comprehensive and relevant content, a clear structure and meaningful learning activities that support learning objectives. However, some challenges were identified, particularly related to usability, platform complexity and the balance between theoretical and practical content.
The study concludes that while the course meets many key quality criteria, improvements in practical application, platform integration and interactivity could enhance the overall learning experience. The findings can support the development of similar online courses and contribute to improving the quality of technical education in Industry 4.0 contexts.