Additive Manufacturing (AM), commonly known as 3D printing, has become an integral part of modern life and is increasingly embedded across STEM education. From design and prototyping to laboratory and studio applications, educators are leveraging AM to enhance experiential learning, foster creativity, and strengthen students’ understanding of manufacturing principles.
However, despite its widespread adoption, both educators and students continue to face challenges in achieving high-quality printed outcomes. A significant portion of these issues arises from design-related errors and improper slicing configurations, which directly affect part accuracy, surface finish, and mechanical performance.
This paper presents a comprehensive collection of best practices identified by experienced AM educators to mitigate common design and process errors. The study highlights critical considerations for parameter selection, feature design, and input optimization. Furthermore, it introduces a set of knowledge blocks and modular instructional units collaboratively developed by the authors, which are designed to improve educational outcomes, enhance print reliability, and promote deeper student engagement in AM education.
http://orcid.org/0000-0002-4233-1049
Tennessee Technological University
[biography]
The full paper will be available to logged in and registered conference attendees once the conference starts on June 21, 2026, and to all visitors after the conference ends on June 24, 2026