International Journal of
Information and Education Technology

Abstract—This study explores the integration of Generative Artificial Intelligence (GenAI) tools into an Educational Technology course designed for pre-service Mechanical Engineering educators. The course was redesigned to incorporate GenAI tools within the Learning by Design (LBD) framework, particularly centering around the development of a WebQuest project. Through a series of structured activities, the course introduced students to the applications of GenAI for ideation, instructional design, and content creation, fostering hands-on engagement with this emerging technology. A mixedmethods approach evaluated students’ awareness, perceptions, and practical experiences pre- and post- intervention. Results indicated notable increases in students’ familiarity with GenAI and a growing appreciation for its potential as teaching and learning tool. However, challenges were also identified, including overly generic outputs and contextual inaccuracies, underscoring the need for critical oversight and iterative refinement. This study contributes practical insights for teacher education programs seeking to prepare educators for the integration of GenAI technologies into diverse teaching and learning contexts.

Keywords—generative AI, educational technology, teacher education, learning by design, webquests

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Cite: Maria Moundridou and Nikolaos Matzakos, "Generative AI in an Educational Technology Course for Pre-Service Mechanical Engineering Educators: A Case Study," International Journal of Information and Education Technology, vol. 15, no. 5, pp. 867-881, 2025.

Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).