P-ISSN 0747-9964
E-ISSN 2998-8969
Vol. 43, Issue 2, 2026October 18, 2026 EDT
A Hierarchical Framework of the Impact of End-User Machine Learning Tools on Applied Machine Learning Education
A Hierarchical Framework of the Impact of End-User Machine Learning Tools on Applied Machine Learning Education
Articles in Vol. 43, Issue 2, 2026
Vol. 43, Issue 2, 2026
- Fall 2026 Issue of the Journal of Engineering Technology (JET)Engineering Technology Division of the American Society for Engineering Education
- EditorialIsmail Fidan
- Artificial Intelligence in Engineering Technology: Opportunities, Challenges, and Future OutlookSabit EkinFarid El BreidiMilad SaadatMohammed Metwaly
- A Project-Based Pedagogical Framework for Teaching AI/ML to Mechanical Engineering Technology StudentsWenhai LiZhou ZhangGonca Altuger-GencYue Hung
- Affordable Viable Ease-built Electro Hydro Dynamic Machine (AVE-EHDM) for Hands-on Engineering Technology Laboratory CoursesSrivarshini VellaisamyTazdik Patwary Plateau
- Omni-Directional Wall-Climbing Robot: A Novel Mechatronic System with Propulsion-Based AdhesionMahdi YazdanpourBoshra Karimi
- A Hierarchical Framework of the Impact of End-User Machine Learning Tools on Applied Machine Learning EducationJonathan NiemirowskiDavid HallKrystal CruseMary Fendley
- Advertisements & AnnouncementsAdvertisers Supporting This Issue
Niemirowski, Jonathan, David Hall, Krystal Cruse, and Mary Fendley. 2026. “A Hierarchical Framework of the Impact of End-User Machine Learning Tools on Applied Machine Learning Education.” Journal of Engineering Technology 43 (2): 58–68. https://doi.org/10.18260/jet.43.2.5.