Conventional coverage of the product development process in the mechanical engineering curriculum touches on several core concepts from systems thinking and systems engineering—such as stakeholder needs analysis, concept generation, and system architecture definition. However, these topics are typically addressed at the component design level, leaving many graduating students underprepared to tackle the design of complex, integrated systems. While it is unrealistic to embed a full systems engineering curriculum within an undergraduate mechanical engineering program, it is possible to enhance existing design instruction with key tools and principles from systems engineering. By carefully integrating such enhancements across the curriculum, the goal is to better prepare graduates to contribute to the development of complex systems such as automobiles, aircraft, or submarines.
This paper builds on prior work that developed online modules introducing systems thinking and systems engineering fundamentals in a first-year mechanical engineering course. The current work focuses on improved assessment strategies that (1) demonstrate direct pre–post student growth on systems engineering fundamentals and (2) correlate post-test performance with students’ self-efficacy. Earlier assessment efforts examined students’ sense of belonging and self-efficacy in systems thinking and systems engineering topics; however, because those data spanned the entire course, isolating the specific effects of the online modules was difficult. Moreover, prior analyses of technical performance relied only on post-test data, without accounting for students’ incoming knowledge.
In this work, pre–post assessments are embedded directly into the online learning environment, enabling clearer attribution of learning gains to the modules themselves. The self-efficacy measures are explicitly aligned with post-test content, allowing analysis of how students’ confidence relates to demonstrated understanding. Results compare outcomes across a medium-sized private institution, a small public technical university, and a large public research university, revealing both commonalities and contextual differences in students’ learning and self-efficacy. The findings can be used to inform strategies for scalable integration of systems engineering concepts into mechanical engineering curricula.
http://orcid.org/0000-0001-5065-4131
Carnegie Mellon University
[biography]
http://orcid.org/0000-0002-2272-2886
Texas State University
[biography]
http://orcid.org/https://0000-0003-4964-5654
South Dakota School of Mines & Technology
[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