Project-based Learning within a Large-Scale Interdisciplinary Research Effort
Robert Margolies, Maria Gorlatova, John Sarik, Peter Kinget, Ioannis, Kymissis, and Gil Zussman

TL;DR
This paper discusses a large-scale, multi-year interdisciplinary project-based learning initiative involving over 180 student projects across various engineering and physics disciplines, emphasizing real-world constraints and mentorship to enhance multidisciplinary teamwork skills.
Contribution
It presents a novel large-scale implementation of interdisciplinary project-based learning with diverse student groups and effective mentorship strategies over five years.
Findings
70% of students reported improved multidisciplinary teamwork skills
Successful engagement of over 180 projects across multiple disciplines
Effective mentorship and real-world constraints enhanced learning outcomes
Abstract
The modern engineering landscape increasingly requires a range of skills to successfully integrate complex systems. Project-based learning is used to help students build professional skills. However, it is typically applied to small teams and small efforts. This paper describes an experience in engaging a large number of students in research projects within a multi-year interdisciplinary research effort. The projects expose the students to various disciplines in Computer Science (embedded systems, algorithm design, networking), Electrical Engineering (circuit design, wireless communications, hardware prototyping), and Applied Physics (thin-film battery design, solar cell fabrication). While a student project is usually focused on one discipline area, it requires interaction with at least two other areas. Over 5 years, 180 semester-long projects have been completed. The students were a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsExperimental Learning in Engineering · Engineering Education and Pedagogy · Biomedical and Engineering Education
