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Understanding the impact of an AI student assistant in the VR thermal fluids lab on student learning outcomes

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Conference

2025 ASEE PSW Conference

Location

California Polytechnic University, California

Publication Date

April 10, 2025

Start Date

April 10, 2025

End Date

April 12, 2025

DOI

10.18260/1-2--55196

Permanent URL

https://peer.asee.org/55196

Paper Authors

biography

Jessica Ohanian Perez California State Polytechnic University, Pomona Orcid 16x16 orcid.org/0000-0002-8720-9282

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Jessica Ohanian Perez is an assistant professor in Electromechanical Engineering Technology at California State Polytechnic University, Pomona with a focus on STEM pedagogy. Jessica earned her doctorate in education, teaching, learning and culture from Cl

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biography

Juliana Lynn Fuqua Cal Poly Pomona

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Juliana Fuqua, Ph.D., is an Associate Professor in the Department of Psychology and Sociology at California State University Polytechnic, Pomona who completed her doctoral degree at the University of California, Irvine. Dr. Fuqua’s dissertation at the

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biography

Yitong Zhao California State Polytechnic University, Pomona

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Dr. Yitong Zhao is an Associated Professor at the Mechanical Engineering Department of Cal Poly Pomona (California State Polytechnic University Pomona). She received her B.S degree majored in Micro-Electrical-Mechanical System (MEMS) from Tsinghua University in China. She received her Ph.D. degree in Bioengineering from UCLA under the guidance of Dr. Chih-Ming Ho. Since joining Cal Poly Pomona, she has been focusing on STEM education with the assistance of technology to tackle the challenge of the new age of education. Her current focus is in utilizing virtual reality (VR)/augmented reality (AR) and mixed reality (MR) technology to improve the effectiveness of engineering education. Her other interests include autonomous vehicle and data science.

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Abstract

The COVID-19 pandemic highlighted the challenges and opportunities in laboratory instruction, prompting a re-evaluation of how we engage students. Coupled with issues such as limited space and increasing student populations, this has sparked a need for more innovative solutions. This project examines the effectiveness of incorporating an artificial intelligence (AI) assistant into a thermal fluid laboratory experiment. The virtual reality (VR) lab, developed by student assistants and the principal investigator, utilizes Generative Pretrained Transformer (GPT) technology to power the AI. The primary aim of the VR is to enhance student engagement in the lab, while the AI's role is to bridge the gap between theoretical knowledge and practical engineering application. The experiment was conducted in a senior-level mechanical engineering course during the spring semester of 2024, replacing a traditionally excluded topic due to cost constraints. Student groups participated in the experiment in three different formats: traditional, VR-only, and VR with the AI assistant. While students acknowledged that the VR and AI provided valuable educational experiences, they noted limitations such as the absence of haptic feedback and the AI's long-winded responses. Despite these shortcomings, students appreciated the increased engagement and the enhanced accessibility the VR provided, making the experience more inclusive.

Perez, J. O., & Fuqua, J. L., & Zhao, Y. (2025, April), Understanding the impact of an AI student assistant in the VR thermal fluids lab on student learning outcomes Paper presented at 2025 ASEE PSW Conference, California Polytechnic University, California. 10.18260/1-2--55196

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