Montreal, Quebec, Canada
June 22, 2025
June 22, 2025
August 15, 2025
ELOS Technical Session 1: Integrating AI, VR, and MR in Engineering Lab Experiences
Experimentation and Laboratory-Oriented Studies Division (DELOS)
16
10.18260/1-2--56001
https://peer.asee.org/56001
2
Dr. Foreman is an Associate Professor at Prairie View A&M University in Electrical and Computer Engineering. His areas of interest include engineering education, applications of artificial intelligence to cybersecurity and applications of artificial intelligence to cloud computing.
Dr. Penrose Cofie is a professor in Electrical and Computer Engineering at Prairie View A&M University, College of Engineering, Texas. His research interests are in Power Systems including Renewable Power Supplies, Power Electronics, Controls and Motor Drives. He is currently working on Renewable Energy Generation, Micro Grid and Advanced Electric Vehicle Technology Systems.
Keisha Antoine is an Assistant Professor in the chemical engineering department at Prairie View A&M University where she has worked since 2019. Prior to her foray into academia, she worked as a scientist and engineer working on glass processes and functionalization, carbon footprint and energy analyses at Corning Incorporated, a Fortune 500 technology company. Keisha also has experience in providing technical solutions through her own firm, Antoine Technical Consulting LLC, where she she continues to offer process design, scale-up and water management solutions to manufacturers principally in the chemical process industries. Keisha is the holder of two patents and is a registered professional engineer in the state of Texas.
Michael Preuss, EdD, is the Co-founder and Lead Consultant for Exquiri Consulting, LLC. His primary focus is providing assistance to grant project teams in planning and development, through research and external evaluation, and as publication support. Most of his work is completed for Minority-Serving Institutions and he publishes regarding findings on a regular basis.
Kazeem B. Olanrewaju is an assistant professor in the department of chemical engineering at Prairie View A & M University. His more than 10 years of experience in the chemical engineering profession both in the public and private sectors includes positions as Chemical/Cement Laboratory Engineer at State Highway Administration, Maryland Department of Transport., Associate Consultant at ChemProcess Technology (CPT) LLC., and Process Safety and Risk Analyst Co-op at Akzo Nobel Functional Chemical, Stenungsund, Sweden. He is a Recipient of the AIChE-Minority Affairs Committee (MAC) 30 years anniversary James Wei award and 2021 MAC distinguished service award. He is also a Recipient of the 2009 Philip Hubbard Uncommon Leadership Award, College of Engineering, at University of Iowa. He received his BS in Chemical Engineering from Obafemi Awolowo University, Ile-Ife, Nigeria and MS in Environmentally Sustainable Process Technology from Chalmers University of Technology, Goteborg, Sweden. He received another MS degree and a PhD in Chemical and Biochemical Engineering from University of Iowa, Iowa, USA.
An electrical engineering PhD student at Prairie View A&M University. Originally from Killeen, Texas. Graduated from Prairie View with my Bachelors and Masters in Electrical Engineering. Doing research on renewable energy system reliability, in an effort to promote clean and reliable energy production
As we enter Industry 4.0 and evaluate the reduction of location restriction in both business and learning, the potential for use of mixed reality (MR) modalities of engagement become apparent. Furthermore, educational institutions need the ability to adapt instruction by switching venues and modalities in light of pandemics, natural disasters, and even war to ensure effective teaching and learning are not compromised. This Work in Progress article discusses the development of MR instructional modules that address these purposes. We are developing mixed reality circuits labs to augment laboratory and classroom instruction of concepts critical to understanding electrical circuit theory and circuit implementation with the expectation of improving student outcomes in learning circuit theory and in building actual circuits. Four labs were developed to address deficiencies students deal with in learning circuits: 1) Bread-Board Basics and Series Circuits, 2) Parallel Circuits, 3) Series/Parallel Circuits, and 4) Superposition and Thevenin and Norton’s Theorems. Prior to deployment, development of the MR lab software platform was necessary as was testing and troubleshooting. This article discusses the development process, critical paths and unanticipated challenges as well as student feedback from the first semester of use.. These materials are presented in hopes of aiding others who seek to develop mixed reality applications for Engineering instruction.
Foreman, J., & Cofie, P., & Antoine, K. C. A., & Preuss, M., & Olanrewaju, K. B., & Dowell, J., & Gabitto, J. F. (2025, June), BOARD #486: Development of Mixed Reality Labs in Circuits Theory Paper presented at 2025 ASEE Annual Conference & Exposition , Montreal, Quebec, Canada . 10.18260/1-2--56001
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