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2024 ASEE-GSW

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Benjamin C. Flores, University of Texas at El Paso; Hector Erives, University of Texas at El Paso

comparators, 2 four-quadrant multipliers, 8 manual coefficientpotentiometers, 2 free resistor networks, and 7 free diodes and capacitors. This device can beused for a variety of courses including introduction to differential equations, simulation ofdynamic systems, study of control systems, implementation of chaotic systems, and mixed signalprocessing10.Figure 5 shows the three standard analog computer programming symbols that can be used toimplement a differential equation: a) gain coefficient, b) summer, and c) integrator.Figure 5. Basic analog computer symbols from left to right: gain coefficient, summer, integrator.The analog computer setup for solving the harmonic oscillator equation. 𝑦̈ + 𝑦 = 0

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Ryan McGuire, University of New Mexico; Tariq Khraishi, University of New Mexico

specimens were printed, any plastic burs were removed via an X-acto knife. Then thespecimens were labeled with the following system template: 𝑁𝑁𝑁𝑁 − 𝑆𝑆In this template 3 pieces of information were recorded. N was the number of holes and rangedfrom 0 to 3. O was the size and orientation of the holes: B for base, iL for in line and small, and Lfor large. Lastly, S reflected the sample number. After each sample in a set was labeled, they weretested using a single column Tensile Testing Machine from My Lab Equipment. Each sample wasphotographed before and after the tensile test was conducted, as well as videotaped during the test.Using the Tensile Testing Machine’s built in data collection tools the

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Kendra L Wallis, The University of Texas at Arlington

distribution. The Central Limit Theorem states that the average of asufficiently large sample of independent measurements will approach a normal distribution(Gaussian). A normal distribution of grades on the A, B, C, D, F scale typically yields somethinglike 2% A’s, 14% B’s, 68% C’s, 14% D’s, and 2% F’s, meaning only 16% of grades are A’s andB’s.29 According to this statistical model, most grades will fall close to the mathematical mean, with68% falling within one standard deviation above and below the mean. A small number over-achieveor under-achieve within two standard deviations above and below the mean, and only a very fewgrades will be 3 standard deviations away from the mean, i.e., very few A’s. The result leads to theassumption that some

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2024 ASEE-GSW

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Daniél Santos Garza, University of the Incarnate Word; Okan Caglayan, University of the Incarnate Word; Michael Antonio Garcia, University of the Incarnate Word

Tagged Topics

Diversity

overview. (2021). IEEE Journals & Magazine | IEEE Xplore. https://ieeexplore.ieee.org/document/9531633 5. RADAR: an in-building RF-based user location and tracking system. (2000). IEEE Conference Publication | IEEE Xplore. https://ieeexplore.ieee.org/document/832252 6. García, J. V. (2020). Characterization of the Log-Normal model for received signal strength measurements in real wireless sensor networks. Journal of Sensor and Actuator Networks, 9(1), 12. https://doi.org/10.3390/jsan9010012 7. Yamamoto, B. E., Wong, A. R., Agcanas, P. J., Jones, K., Gaspar, D., Andrade, R., & Trimble, A. Z. (2019). Received Signal Strength Indication (RSSI) of 2.4 GHz and 5 GHz Wireless Local Area

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2024 ASEE-GSW

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Raj Desai, Midwestern State University

-Southwest Annual Conference West Texas A&M University, Canyon, TX Copyright  2024, American Society for Engineering Education 6retention of diverse students. Today’s industry needs a talented new generation of employeespossessing a strong knowledge base and social and technical skills. Without these abilities, studentsmay find themselves entering a complex workforce without the tools necessary to be successful. References1. Malone, D., Jones, B. D., & Stallings, D. T. Prospective transformation: Effects of a service-learning tutoring experience on prospective teachers

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Mia K. Markey, The University of Texas at Austin; Huiliang Wang, University of Texas at Austin; Ju-Chun Hsieh, University of Texas at Austin; Xiangping Liu, University of Texas at Austin

students succeed in communication. in 2002 Annual Conference Proceedings (ASEE Conferences, 2020). doi:10.18260/1-2--11326.2. Choe, N. H. & Borrego, M. Master’s and doctoral engineering students' interest in industry, academia, and government careers. J. Eng. Educ. 109, 325–346 (2020).3. Xu, L. & Grant, B. International doctoral students’ becoming: A dialogic perspective. Innovations in Education and Teaching International 54, 570–579 (2017).4. Véliz, D. The Socialization of International Doctoral Students in the USA. in Socialization in Higher Education and the Early Career: Theory, Research and Application (eds. Weidman, J. C. & DeAngelo, L.) 149–160 (Springer International Publishing, 2020).5. Zhou, J

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Helen Elizabeth Geller, University of Texas at El Paso; Peter Golding P.E., University of Texas at El Paso; Alejandro Gonzalez; Annalisa Perez, University of Texas at El Paso

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Diversity

achievement in introductory computer science” Journal of Computer Science Education, 26(4), 273-288, 2016. 2. C. A Mullen & J. L. Hutinger, “The impact of a peer-mentoring program on social integration and academic success among first-year students” Journal of College Student Retention: Research, Theory & Practice, 18(4), 395-409. 2016. 3. B. Kramarski & T

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Nelson Fumo, The University of Texas at Tyler

, vol. 12, no. 4, p. 1634.10. R. Amaral, B. Arranz and S. Vega, 2021, Participatory Research for the Evaluation of Satisfaction with Solar Decathlon Competitions: A Survey Analysis, Sustainability, vol. 13, no. 23, p. 12995.11. Department of Energy, “Jump into STEM” [Online]. URL: https://jumpintostem.org/.Dr. NELSON FUMODr. Fumo currently serves as an Associate Professor of Mechanical Engineering at the University of Texas at Tyler. Hisresearch interests include energy in buildings with focus on HVAC equipment performance, whole building simulations,evaporative cooling, and energy management. Proceedings of the 2024 ASEE Gulf-Southwest Annual Conference West Texas A&M

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2024 ASEE-GSW

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Arun John Abraham, St. Mary’s University - San Antonio, TX ; Rafael Moras P.E., St. Mary's University; Gopalakrishnan Easwaran, St. Mary's University; PAUL X UHLIG, St. Mary's University

! listingof sequences for each problem.The flowtimes for all job sequences were calculated using a combination of the VLOOKUP andMAX functions included in Appendix B. A YouTube video8 titled ‘Job Sequencing InitialFormula’ was used as a reference to calculate and develop the job completion times. Thecompletion times for jobs 1 through 6 were calculated separately and summed together to obtainthe total completion time for each sequence. Similarly, the flowtime was obtained for the entireset of 720-sequence population in each six-job, four-machine flowshop matrix.A prototypical heuristic algorithm was developed initially in a four-job, three-machine flowshopafter noting that, scheduling the job with the largest standalone sum of processing times across

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2024 ASEE-GSW

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Adam Weaver, Baylor University; Joseph Anthony Donndelinger, Baylor University

, M., "Improving Accuracy of Self-and-Peer Assessment in Engineering Technology Capstone," in IEEE Transactions on Education, vol. 66, no. 2, pp. 174-187, April 2023, doi: 10.1109/TE.2022.3208219.11. Beigpourian, B., Ferguson, D., Berry, F., Ohland, M., Wei, Si., “Using CATME to Document and Improve the Effectiveness of Teamwork in Capstone Courses,” Proceedings of the 2019 ASEE Annual Conference & Exposition, Paper 25751.12. Mahmood, A., Choudhary, M.A., and Qurashi, A.H., “Redesigning the way teams work smarter using comprehensive assessment of team member effectiveness (CATME),” 2016 Portland International Conference on Management of Engineering and Technology (PICMET), Honolulu, HI, USA, 2016, pp

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2024 ASEE-GSW

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Randall D. Manteufel, The University of Texas at San Antonio; R. Lyle Hood, The University of Texas at San Antonio; Alifer D. Crom, The University of Texas at San Antonio; Amir Karimi, The University of Texas at San Antonio

student’s understanding of the topic is weak and below whatis reflected by the report. References[1] Uhlig, R.P., S.J. Jawad, B. Sinha, P.P. Dey, M. N. Amin. “Student Use of Artificial Intelligence to Write Technical Engineering Papers – Cheating or a Tool to Augment Learning” 2023 ASEE Annual Conference, paper #37054.[2] McMurtrie, B., “ChatGPT is Everywhere” Chronicle of Higher Education, March 6, 2023.[3] Open AI, “ChatGPT. Get instant answers, find creative inspiration, learn something new”, https://openai.com/chatgpt [Accessed, January 19, 2024][4] Darby, F., “Why You Should Rethink Your Resistance to ChatGPT” Chronicle of Higher Education, November 13, 2023.[5] Keegin, J., “ChatGPT is a

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2024 ASEE-GSW

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Mari Dalton, University of Texas at Austin; Lance Manuel, The University of Texas at Austin; Zoe E Chen, University of Texas at Austin; Joshua Epps

Tagged Topics

Diversity

Paper ID #44747How Can Managed Retreat Solutions be Just, Fair, Economical, andEnvironmentally Sustainable?Ms. Mari Dalton, University of Texas at Austin Mari Dalton is a senior at the University of Texas at Austin pursuing a Bachelor of Science in Civil Engineering with a minor in Communication Studies. Mari’s academic research focuses on managed retreat as a transformative climate change adaptation strategy where they consider the interactions between environmental, economic, and social systems. Mari works as a Geotechnical Intern at ANS Geo where they assist is site investigations, utilize technical software programs

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2024 ASEE-GSW

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John Carrell, Texas Tech University; Tirhas Hailu, Texas Tech University

, "Bioinspiration: something for everyone," Interface Focus, 5(4), pp. 201500312 Bhushan, B., 2009, "Biomimetics," Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences, 367(1893), pp. 1443-14443 Vincent, J.F.V., et al., 2006, "Biomimetics: its practice and theory," Journal of the Royal Society interface, 3(9), pp. 471-4824 Lepora, N.F., P. Verschure, and T.J. Prescott, 2013, "The state of the art in biomimetics," Bioinspir Biomim, 8(1), pp. 0130015 Hinkelman, K., Y. Yang, and W. Zuo, 2023, "Design methodologies and engineering applications for ecosystem biomimicry: an interdisciplinary review spanning cyber, physical, and cyber-physical systems," Bioinspiration &

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2024 ASEE-GSW

Authors

Huiliang Wang, University of Texas at Austin; Mia K. Markey, The University of Texas at Austin; Edward Castillo, University of Texas at Austin

Tagged Topics

Diversity

their stories with our trainees. Many thanks to J Jesus Rodriguez Cruz fordesigning the background slide for the Show, including several fun holiday variations. References[1] H. Lee, C. B. Anderson, M. S. Yates, S. Chang, and D. Chakraverty, “Insights into the complexity of the impostor phenomenon among trainees and professionals in STEM and medicine,” Curr. Psychol., vol. 41, no. 9, pp. 5913– 5924, Sep. 2022, doi: 10.1007/s12144-020-01089-1.[2] S. J. Bork and J. Mondisa, “Engineering graduate students’ mental health: A scoping literature review,” J. Eng. Educ., vol. 111, no. 3, pp. 665–702, Jul. 2022, doi: 10.1002/jee.20465.[3] K. A. French, T. D. Allen, M. H. Miller, E. S. Kim, and G

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2024 ASEE-GSW

Authors

Nurcan Bac, Texas Tech University; Roland Faller, Texas Tech University

Tagged Topics

Diversity

. Whitacre College of Engineering, Texas Tech University AbstractAll undergraduate students at the Texas Tech University Edward E. Whitacre Jr. College ofEngineering (WCOE) were required to have a global experience during their studies since 2013.Despite a pause in 2020, over 3500 of our students participated in a global experience throughout theworld since 2014. This experience can be completed in terms of studying abroad, an internship,research or service abroad. In 2023, a total of 441 students joined mostly to study abroad followedby internship programs in 25 countries. The majority of students preferred to go to Europe, followedby Central America. The fact that Texas Tech has a center in Seville