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Board 413: Undergraduate Robotics Education with General Instructors Using a Student-Centered Personalized Learning Framework

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Conference

2024 ASEE Annual Conference & Exposition

Location

Portland, Oregon

Publication Date

June 23, 2024

Start Date

June 23, 2024

End Date

July 12, 2024

Conference Session

NSF Grantees Poster Session

Tagged Topic

NSF Grantees Poster Session

Page Count

12

Permanent URL

https://peer.asee.org/47002

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Paper Authors

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Rui Wu East Carolina University

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Rui Wu received a Bachelor degree in Computer Science and Technology from Jilin University, China, in 2013. He then pursued his Master and Ph.D. degrees in Computer Science and Engineering at the University of Nevada, Reno, completing them in 2015 and 2018, respectively. Currently, Rui works as an assistant professor in the Department of Computer Science at East Carolina University, collaborating with geological and hydrological scientists to protect the ecological system. His primary research interests lie in machine learning and data visualization using AR/VR devices. Dr. Wu has actively contributed to several NSF and NIH funded projects, serving as both a Principal Investigator (PI) and Co-PI.

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Sergiu Dascalu University of Nevada, Reno

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Zhen Zhu East Carolina University

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Zhen Zhu is an assistant professor at East Carolina University. From 2010 to 2013 he was a senior research engineer and a principal investigator with the Navigation Systems Division and the Advanced Concepts and Technologies Division in Northrop Grumman E

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David Feil-Seifer is an Associate Professor in Computer Science & Engineering at the University of Nevada, Reno. His primary research interests are Socially Assistive Robotics (SAR), Human-Robot Interaction (HRI), and Engineering Education. His resear

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Marjorie Campo Ringler East Carolina University

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Bryan C. Hutchins

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Laura Rosof

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Ponkoj Chandra Shill University of Nevada, Reno

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PhD Student in Computer Science at University of Nevada, Reno.

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Hossein Jamali University of Nevada, Reno

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Frederick C Harris Jr. University of Nevada, Reno

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Abstract

Recent advancements in robotics, including applications like self-driving cars, unmanned systems, and medical robots, have had a significant impact on the job market. On one hand, big robotics companies offer training programs based on the job requirements. However, these training programs may not be as beneficial as general robotics programs offered by universities or community colleges. On the other hand, community colleges and universities face challenges with the required resources, especially qualified instructors, to offer students advanced robotics education. Furthermore, the diverse backgrounds of undergraduate students present additional challenges. Some students bring extensive industry experience, while others are newcomers to the field. To address these challenges, we propose a student-centered personalized learning framework for robotics. This framework allows a general instructor to teach undergraduate-level robotics courses by breaking down course topics into smaller components with well-defined topic dependencies, structured as a graph. This modular approach enables students to choose their learning path, catering to their unique preferences and pace. Moreover, our framework's flexibility allows for easy customization of teaching materials to meet the specific needs of host institutions. In addition to teaching materials, a frequently-asked-questions document would be prepared for a general instructor. If students' robotics questions cannot be answered by the instructor, the answers to these questions may be included in this document. For questions not covered in this document, we can gather and address them through collaboration with the robotics community and course content creators. Our user study results demonstrate the promise of this method in delivering undergraduate-level robotics education tailored to individual learning outcomes and preferences.

Wu, R., & Dascalu, S., & Zhu, Z., & Feil-Seifer, D., & Ringler, M. C., & Hutchins, B. C., & Rosof, L., & Shill, P. C., & Jamali, H., & Harris, F. C. (2024, June), Board 413: Undergraduate Robotics Education with General Instructors Using a Student-Centered Personalized Learning Framework Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. https://peer.asee.org/47002

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