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Board 200: Analyzing Immersive Simulation-based Learning Modules in Remote and In-Person Settings

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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

13

DOI

10.18260/1-2--46767

Permanent URL

https://peer.asee.org/46767

Download Count

14

Paper Authors

biography

Omar Ashour Pennsylvania State University, Behrend College Orcid 16x16 orcid.org/0000-0003-3775-6445

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Dr. Omar Ashour is an Associate Professor of Industrial Engineering at Pennsylvania State University, The Behrend College. Dr. Ashour received the B.S. degree in Industrial Engineering/Manufacturing Engineering and the M.S. degree in Industrial Engineering from Jordan University of Science and Technology (JUST) in 2005 and 2007, respectively. He received his M.Eng. degree in Industrial Engineering/Human Factors and Ergonomics and a Ph.D. degree in Industrial Engineering and Operations Research from The Pennsylvania State University (PSU) in 2010 and 2012, respectively. Dr. Ashour was the inaugural recipient of William and Wendy Korb Early Career Professorship in Industrial Engineering in 2016. Dr. Ashour’s research areas include data-driven decision-making, modeling and simulation, data analytics, immersive technologies, and process improvement. He contributed to research directed to improve design and engineering education.

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biography

Sabahattin Gokhan Ozden Pennsylvania State University, Abington Orcid 16x16 orcid.org/0000-0002-5005-0298

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Dr. Sabahattin Gokhan Ozden is an assistant professor of Information Technology at Penn State Abington. He has a Ph.D. and MISE from Auburn University in Industrial and Systems Engineering and a B.Sc. in Software Engineering and double major in Industrial Systems Engineering from Izmir University of Economics.
His research interests are warehousing, optimization, and information systems. Dr. Ozden has published in various journals/conferences including Computers and Operations Research and Naval Research Logistics. His website address is https://www.gokhanozden.com.

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biography

Ashkan Negahban Pennsylvania State University, Great Valley

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Dr. Ashkan Negahban is an Associate Professor of Engineering Management at The Pennsylvania State University, Great Valley School of Graduate Professional Studies. He received his Ph.D. and master’s degrees from Auburn University (USA) and his BS from University of Tehran (all in Industrial and Systems Engineering). His research involves stochastic simulation methods, primarily agent-based and discrete-event simulation. He also conducts research related to novel simulation-based learning environments in STEM education. His email and web addresses are anegahban@psu.edu and https://ashkannegahban.com.

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Abstract

This paper presents a study on the impact of class delivery mode (remote vs. in-person) on students’ learning experience when Immersive Simulation-Based Learning (ISBL) modules are used as course assignments. ISBL involves problem-based learning via a 3-dimensional (3D) simulated environment that mimics real-life applications such as manufacturing and healthcare systems, airports, and other service systems. Within the simulated environment, students can observe the corresponding system, collect data, understand relationships between the system components, make changes to the model and observe the impact of those changes, and learn by doing. ISBL is advantageous when access to real-world facilities is difficult or impossible due to geographical barriers or safety concerns as well as in remote and online learning due to geographically dispersed students. This study compares two groups of students. Both groups are taught by the same instructor and use the same course material, including the ISBL modules. The only difference between the two groups is the course delivery mode, where one group is taught remotely through synchronous online sessions, and the other is taught in person in a traditional classroom setting. We collect data on demographics, prior preparation, motivation, experiential learning, usability scale, and self-assessment of learning objectives based on Bloom’s taxonomy. We then perform statistical comparisons to investigate the impact of delivery mode when ISBL modules are used. We use the comparison results to test the hypothesis that ISBL modules will help maintain remote students’ motivation and learning outcomes compared to in-person students. The results show no statistically significant difference between the two groups on any measure, suggesting that ISBL is equally effective in the two delivery modes.

Ashour, O., & Ozden, S. G., & Negahban, A. (2024, June), Board 200: Analyzing Immersive Simulation-based Learning Modules in Remote and In-Person Settings Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. 10.18260/1-2--46767

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