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Enhancing the Student Learning Experience through Virtual Reality Integration

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Conference

2022 ASEE Annual Conference & Exposition

Location

Minneapolis, MN

Publication Date

August 23, 2022

Start Date

June 26, 2022

End Date

June 29, 2022

Conference Session

Technological and Engineering Literacy - Philosophy of Engineering Division Technical Session 1

Page Count

17

DOI

10.18260/1-2--41308

Permanent URL

https://peer.asee.org/41308

Download Count

482

Paper Authors

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James Schreiner United States Military Academy

biography

Leang Tri Missouri S&T

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Leang Tri is a graduate research assistant at Missouri Science and Technology, where he works on dynamic topology control and network localization. He received a bachelor's degree of Science in Engineering Management from the United States Military Academy in 2022. Tri's previous research includes analyzing the effect of social media algorithms through a system dynamics lens and improving efficiency in project management in the Department of Veteran Affairs. He is passionate about innovation and entrepreneurship and strives to place himself at the forefront of emerging technology and the operationalization process.

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Abstract

Virtual Reality (VR) technologies create opportunities in the fields of entertainment, healthcare, and education. As VR becomes more accessible, affordable, and functional, leaders are looking to better integrate these scarce resource technologies for training and educational purposes. VR as a tool in the academic setting can impact effectiveness, efficiency, and immersiveness of the pedagogical design for each distinct learning experience. Many studies have shown that VR is beneficial in enhancing educational outcomes such as critical thinking, system thinking, creative thinking, and decision making. Despite its benefit, educators still struggle to optimize the integration of these technologies into the curriculum. This paper presents a prioritization model which helps align VR capabilities to program and course design through in a deliberate utilization decision model. The best fit model was evaluated on engineering and non-engineering students in the Department of Systems Engineering at West Point using the Fundamental Engineering Design and System Management (SE301) and Analytical Methods for Engineering Management (EM384) courses. Using empirical literature, a rating scale was developed to measure the suitability of virtual reality for strengthening student technical knowledge and skills. Additionally, input from course directors and instructors provides another rating scale of the relative importance of each skillset in student outcomes and course objectives. Student skills that trace to course outcomes were then matched to virtual reality technology to generate a list of best-fit uses for analysis and optimization tools. This prioritization matrix is the base for educators to best integrate virtual reality to achieve student outcomes and is scalable to course types and VR emerging technologies. Ultimately, this is a first step to equip leaders with decision aids for scarce technology resource allocation and ultimately be adopted as a component of continuous improvement in program and course design for the validation of enhanced student learning.

Schreiner, J., & Tri, L. (2022, August), Enhancing the Student Learning Experience through Virtual Reality Integration Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--41308

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