2026 ASEE Annual Conference & Exposition

Artificial Intelligence (AI) is rapidly transforming engineering education by enhancing both learning and teaching experiences. Integrating AI into the classroom can deepen conceptual understanding, improve problem-solving skills, and help students connect theoretical knowledge to practical applications. AI also supports adaptive learning, allowing students to meet personalized learning needs on demand. For instructors, AI can streamline the preparation of classroom and assessment materials and offer recommendations to enhance teaching practices. However, AI integration also introduces challenges, such as over-reliance on automated tools, reduced student engagement in analytical reasoning, low cognitive load, and the need for both students and instructors to understand the capabilities and limitations of AI platforms.
This work-in-progress study explores the use of AI in a junior-level course, Mechanism and Dynamics of Machines. Traditionally, the Rube Goldberg project has served as a playful yet rigorous design activity, helping students apply theoretical knowledge through the creation of complex machines that perform simple tasks. These projects foster creativity, teamwork, and communication while reinforcing concepts such as linkages, cams, gears, and motion transmission.
In the redesigned version, the project now incorporates guided AI assistance. Each student team (four to five members) is tasked with developing a multi-step machine that includes at least one mechanism for each student in the team. Students are required to conduct position, velocity, and acceleration analyses for each mechanism and compile their findings into a comprehensive system-level report. AI tools are permitted for brainstorming, design visualization, and idea generation, but not for direct analytical computation. Students must document their AI usage and reflect on its effectiveness, challenges, and ethical implications.
This work-in-progress aims to investigate how combining AI-supported design with a Rube Goldberg project can enhance hands-on learning, engagement, and reinforce analytical learning.