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Training Teachers to Employ Design and Analysis of Computer Experiments for Research on Sustainable Building Design

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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

June 26, 2024

Conference Session

Industrial Engineering Division (IND) Technical Session 1

Tagged Division

Industrial Engineering Division (IND)

Page Count

18

DOI

10.18260/1-2--48171

Permanent URL

https://peer.asee.org/48171

Download Count

78

Paper Authors

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Laura Thomason Mansfield ISD/The University of Texas at Arlington

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Long time middle school teacher who is still on a quest to continue in my personal education. I participated in the RET project with UTA last summer and while I learned so much, the experience allowed me to impact my classroom teaching. Currently, I teach at Jerry Knight STEM Academy in Mansfield, TX. I get to teach advanced 6th, 7th, and 8th graders in multiple STEM electives.

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Victoria C. P. Chen The University of Texas at Arlington

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Dr. Chen currently serves as Professor and Director of Doctoral Studies for Industrial, Manufacturing, & Systems Engineering and Director of the Center on Stochastic Modeling, Optimization, & Statistics at the University of Texas at Arlington. She has expertise in the design of experiments, statistical modeling, and data mining, particularly for computer experiments, adaptive dynamic programming, surrogate optimization, and stochastic optimization. She has studied applications in sustainability and energy, smart cities, transportation, health care, law enforcement, and chemical analysis.

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Erick C. Jones The University of Texas at Arlington Orcid 16x16 orcid.org/0000-0003-0559-4699

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Erick Jones is an assistant professor in the IMSE department at UTA and the founder and director of the Sustainable and Equitable Allocation of Resources or SEAR Lab. He obtained a PhD from the Operations Research and Industrial Engineering program at the University of Texas at Austin, a B.S. in Chemical Engineering from Texas A&M University, and is a fellow of GEM, NSF INFEWS, and DOE MLEF. He spent several years working in the design, manufacturing, oil and gas, and HVAC industries. During this time, he traveled around the world and witnessed how the lack of basic infrastructure like electricity, HVAC systems, clean water, internet, and banking negatively affects the quality of life of the majority of the world’s population. These experiences motivated him to pursue research that can enhance quality of life by improving access to sustainable resources and economic opportunities, particularly where a lack of physical infrastructure or economic resources presents a major obstacle, leading to the creation of the SEAR lab. The SEAR lab investigates how communities, companies, and countries can allocate their limited resources in a way that maximizes their desired outcomes in a sustainable, equitable, and resilient but also elegant way. The SEAR lab assesses these problems by combining physical experimentation, data analytics, and stochastic systems optimization to provide actionable decisions and create scalable prototypes.

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Jay Michael Rosenberger The University of Texas at Arlington

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Jay Rosenberger is Professor and Interim Department Chair of Industrial, Manufacturing, & Systems Engineering. He is a past director for COSMOS and for the Center for Transportation Equity, Decisions & Dollars. He has expertise in mathematical programming, applied simulation, and optimization of statistical metamodels of complex systems. He has applied his methodological research to solve numerous real-world problems including those in transportation, health care, defense, and energy.

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Jaivardhan Sood The University of Texas at Arlington

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Jaivardhan is a PhD student in the Industrial, Manufacturing, and Systems Engineering department at the University of Texas at Arlington. His research focuses on statistics, optimisation, and their intersection.

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Vishnu Sharma Kaipu Prabhakar Sharma The University of Texas at Arlington

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Vishnu Sharma is a Graduate of the Masters of Data Science Program at the University of Texas at Arlington. His research focuses on Data Mining and Computer Experiments Analysis.

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Soulmaz Rahman Mohammadpour The University of Texas at Arlington

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I am Soulmaz Rahman Mohammadpour, a second-year Ph.D. student at the University of Texas at Arlington, specializing in industrial engineering. With a background encompassing both Bachelor's and Master's degrees in the same (Industrial Engineering) field. Prior to my doctoral studies, I accumulated four years of practical experience in Supply Chain and Optimization roles at international companies like Unilever and Dairy Bel. With a combination of academic knowledge that I am developing in the University of Texas at Arlington under the supervision of Professor Jay Rosenberger and Professor Victoria Chen, and industry insight, I try to emerge as a promising scholar poised to make significant contributions to the field.

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Rahsirearl Dominick Smalls Everman ISD/The University of Texas at Arlington

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Rahsirearl Smalls is an Early College Science Instructor at Everman Independent School District in Everman, TX. He was previously a Project Lead the Way teacher at Charles Baxter Junior High School when he participated in the RET project with UTA in the summer of 2022. This experience helped to shape the way he delivers STEM instruction to his students. His goal as an educator is to expose students to the various STEM careers that are available to them.

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Jocelyn Sigler M.Ed. The University of Texas at Arlington

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With over 10 years of experience teaching HS/MS science, Jocelyn was an advanced biology and environmental systems teacher at Lamar High School in the Arlington Independent School District when she participated in the RET program in the summer of 2022.

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James Hovey

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Abstract

The construction industry is one of the largest consumers of natural resources, including water, materials, and energy. Towards the goal of more sustainable building design, we present a "tiny home" case study that demonstrates a design and analysis of computer experiments (DACE) approach for conducting a comprehensive study of potential building designs. Two cohorts of two teachers each were trained to conduct the DACE approach employing sustainable building design software tools for computer experiments. The DACE approach provides a general set of research tools, consisting of four steps: (1) Calibration of the software tools for the “tiny home” case study, (2) Design of experiments to organize a set of input settings for running the software tools, (3) Execution of the software tools to generate performance outputs, (4) Analysis of the input and output data using statistical modeling. For sustainable building design, the performance outputs represent dimensions related to the pillars of sustainability: people, planet, and prosperity. The first cohort of teachers conducted steps 1-3, and the second cohort conducted steps 2-4. Discussion on the teachers’ research experience includes lesson plan ideas. One of the teachers was able to bring the DACE approach to her 8th-grade Green Architecture class. Simplifying the experiment, the teacher was able to have the students look at a case study, design an experiment, run it through simulation software, analyze the results, and draw conclusions. The students were able to see how what they learned in the classroom could be utilized in a real-world situation.

Thomason, L., & Chen, V. C. P., & Jones, E. C., & Rosenberger, J. M., & Sood, J., & Kaipu Prabhakar Sharma, V. S., & Rahman Mohammadpour, S., & Smalls, R. D., & Sigler, J., & Hovey, J. (2024, June), Training Teachers to Employ Design and Analysis of Computer Experiments for Research on Sustainable Building Design Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. 10.18260/1-2--48171

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