. The course attracts senior and graduate students with an interest in hands-on projects. Inthe past, as part of the course, these students have implemented non-linear differential equationsfor harmonic, relaxation, and chaotic oscillators using dual-in-line packaged analog ICs. Typicalbreadboard electronic troubleshooting often challenges some students’ psychomotor skills andconfuses their learning experience, especially when the oscillator performance is already non-linear and dependent on passive parameter tolerances and IC parameters. To mitigate some ofthese challenges, we propose the use of a hand-held analog computer as a clean alternative forimplementing second/third-order, non-linear differential equations. The use of an analogcomputer
Paper ID #44733Enhancing Educational Experiences: Integrating Unreal Engine Simulationsin Laboratory LearningMr. Oscar L Delgado, Texas A&M University Texas A&M Engineering | Engineering Studio for Advanced Instruction and Learning Oscar Delgado - Web Application Developer. ©American Society for Engineering Education, 2024 Title: "Enhancing Educational Experiences: Integrating Unreal Engine Simulations in Laboratory Learning" Oscar L Delgado Web Developer, Remote Engineering Texas A
the Impact of an Interdisciplinary Experiential-learning Activity on Student Learning. In 2018 ASEE Annual Conference & Exposition.6. Vieira, C., Restrepo, D. and Jose, L., 2023, October. Computational Notebooks in a Finite Element Analysis Course: Engineering Students' Reflections on the Value and Challenges of Computational Approaches. In 2023 IEEE Frontiers in Education Conference (FIE) (pp. 1-5). IEEE.XIAOYI ZHANGDr. Xiaoyi Zhang is currently a Provost Diversity Postdoctoral Fellow in the Department of English and ModernLanguages of College of Liberal and Fine Arts at the University of Texas at San Antonio. She graduated from theUniversity of Notre Dame with a PhD in Medieval and Renaissance Literatures and a MA in
Paper ID #44761Experiential Learning Utilizing Class and Lab Demos in a MaterialScience and Manufacturing CourseDr. Shadi Balawi, Texas A&M University Dr. Balawi is an Instructional Associate Professor in the Mechanical Engineering department at Texas A&M. He teaches in the areas of materials, manufacturing, and design. His interests are in the areas of Engineering Design for Disciplinary STEM Educational Research, Team Formation and Team Skill Education. Dr. Balawi earned his PhD in Aerospace Engineering from University of Cincinnati with research focus on experimental design and testing of solids for honeycomb
Paper ID #44754Demystifying Cybersecurity Experiential Learning for OperationalTechnologies (OT) and Industrial Control Systems (ICS)Dr. Eman Hammad, Texas A&M UniversityConnor McLaren, Texas A&M UniversityJustin Leiden, Texas A&M University ©American Society for Engineering Education, 2024 1 Session XXXXDemystifying Cybersecurity Experiential Learning for Operational Technologies (OT) and Industrial Control Systems (ICS) Eman Hammad
Paper ID #44767Enhancing Education Through Thoughtful Integration of Large LanguageModels in Assigned WorkTonia Haikal, Texas A&M University Toni Haikal is currently a senior Computer Engineering student with plans to pursue a master’s degree in computer engineering while engaging in the industry. Her research interests are deeply rooted in machine learning models and artificial intelligence, specifically their application and influence in the domains of cybersecurity and cloud computing. Haikal is particularly focused on the development of advanced AI- driven security protocols and the optimization of cloud
learned very learned some learned quite anything at significant little (2) (3) a bit (4) all (1) amount (5) New technical knowledge in your academic discipline (such as mechanical engineering, aerospace engineering, electrical o o o o o engineering, computer engineering, or biological engineering) (1) Understanding of what industry jobs o o o o o look like (2
andimplemented by using a Raspberry Pi single-board computer with an external Wi-Fi antenna tocollect a pool of media access control (MAC) addresses and the relative signal strength indicator(RSSI) values as a fingerprint for each location. Furthermore, the latitude and longitude (GPS) datawere captured at each of the collection points to train the machine learning models. Once thecollected MAC, RSSI and logistical data, features were generated, processed, and exported toElastic. To determine which model was suitable, we overlaid our chosen Decision Trees, ExtraTrees, and Random Forest models on a map to visualize any deviations from our initial GPS datapoints. The results showed that the Decision Trees model performed the best, with most of
Alternative to Score-based Assessment. Computer Science Faculty Works (2012). Proceedings of the 2024 ASEE Gulf-Southwest Annual Conference West Texas A&M University, Canyon, TX Copyright 2024, American Society for Engineering Education 921. Bekki, J. M., Dalrymple, O. & Butler, C. S. A mastery-based learning approach for undergraduate engineering programs. in 2012 Frontiers in Education Conference Proceedings 1–6 (2012). doi:10.1109/FIE.2012.6462253.22. Post, S. L. Standards-based grading in a fluid mechanics course. in (American Society for Engineering Education, 2014).23. Atwood, S
programs,they will be installed on individual Windows computers using Java. Real-world Application of Screenless InterfacesReal world applications of this technology once fully developed are far spanning and it is hypothesizedto engulf multiple industries. This is because if the hypothesized heuristic benefits of such technologyare an actuality, then manufactures are likely to gravitate away from physical screens and toward thisprojected alternative in all computer devices that currently require physical monitors.In the healthcare industry for example, this technology could be used to educate future physicians andnurses by offering an immersive and interactive learning environment when learning about humananatomy and physiology
“biomimetics” to the action of learning from nature and used it for the first time in the title of apaper in 19693. It was then formally defined as 'the study of the formation, structure or function ofbiologically produced substances and materials (as enzymes or silk) and biological mechanisms andprocesses (as protein synthesis or photosynthesis), especially for the purpose of synthesizing similarproducts by artificial mechanisms which mimic natural ones' in 1974 in Webster's dictionary 2.Bioinspired design has been central to developing a growing list of influential technologies acrossengineering, including vaccines, the telephone, airplanes, computers, antibiotics, genetic engineering(recombinant and CRISPR), and more. At times, biomimetics may be
1 Session XXXX Development of a Battery Powered Vehicle Model for Integration into Elementary School Science Curricula David Yu Department of Electrical and Computer Engineering The University of Texas at San Antonio Cynthia Lima Department of Interdisciplinary Teaching and Learning The University of Texas at San Antonio Email: cynthia.lima@utsa.edu
Education, 2024 1 Session XXXX Towards Models for Cybersecurity Summer Research Institutes for Undergraduate Engagement and Education Eman Hammad Engineering Technology and Industrial Distribution Texas A&M University Yuehua Wang Computer Science Texas A&M University – Commerce James K. Nelson
West Texas A&M University, Canyon, TX Copyright 2024, American Society for Engineering Education 11 links to purchase them. • Educational Videos for the 8-12 year-olds at BGCBV, which can be viewed on the exerciser on the onboard display tablet and available on YouTube for learning experiences off the bike, on other computers and devices. These videos 11-16 cover various topics in STEM and engineering, which will be discussed in more detail in the next session. 5: STEM Lessons for 8-12 year-oldsIt was not enough for the MEEN senior students to have detailed knowledge of the engineeringprinciples behind the
algorithm development. He used computer simulations to study the properties of polymer brushes, glasses, ceramics, biological membranes and proteinsProf. Roland Faller, Texas Tech University ©American Society for Engineering Education, 2024 1 Session Global Experience in Undergraduate Engineering Programs at Texas Tech University Nurcan Bac Edward E. Whitacre College of Engineering, Texas Tech University Roland Faller Edward E
innovative instructional approach to revolutionize engineering education byintegrating microfluidic devices and material characterization tools. Focused on key engineeringprinciples such as thermodynamics, heat transfer, and crystallization, this method offers students adynamic, hands-on learning experience. It emphasizes the potential of microfluidic devices tomanipulate small fluid volumes, highlighting their capacity to enhance heat and mass transfer,accelerate reaction kinetics, and reduce reagent consumption. With applications across disciplineslike biology, chemistry, medicine, climate science, and engineering, microfluidic devices serve as aversatile platform for experiential learning, bridging theoretical knowledge with real
, Texas A&M University Trini Balart is a PhD student at Texas A&M University. She completed her Bachelors of Science in Computer Science engineering from Pontifical Catholic University of Chile. She is currently pursuing her PhD in Multidisciplinary Engineering with a focus in engineering education and the impact of AI on education. Her main research interests include Improving engineering students’ learning, innovative ways of teaching and learning, and how artificial intelligence can be used in education in a creative and ethical way.Dr. Kristi J. Shryock, Texas A&M University Dr. Kristi J. Shryock is the Frank and Jean Raymond Foundation Inc. Endowed Associate Professor in Multidisciplinary
Professor in the J Mike Walker ’66 Department of Mechanical Engineering at Texas A&M University. Areas of expertise and interest in- clude biomedical and mechanical system design, electromechanical systems, computer-aided engineering analysis, and mathematical modeling of physiological systems. Before joining Texas A&M, worked in in- dustry settings to develop various biomedical technologies, ranging from acute neonatal care to long-term space exploration.Dr. Carlos R. Corleto P.E., Texas A&M University BS, MS, PhD in Mechanical Engineering from Texas A&M University. Experience includes 20 years in industry as a lab director, technical manager and engineering advisor, 8 years of academic experience at
Paper ID #44710The Impacts of Reflective Writing on Peer Evaluations in EngineeringDesign CoursesMr. Adam Weaver, Baylor University Mr. Adam Weaver joined the Baylor Department of Electrical and Computer Engineering with over 15 years of experience in industry and government service. He served in the Active Duty Air Force as an engineer for over eight years, specializing in test and evaluation of avionics, guidance/navigation, and space systems. After his time in the military, he worked as a Propulsion Test and Integration Engineer with Space Exploration Technologies as well as multiple positions with L3Harris
(2009), and a Dr. Eng. in Civil Engineering (2013). Currently, he is an Assistant Professor of EnvironmDr. Roy Jean Issa P.E., West Texas A&M University Dr. Issa is an associate professor of Mechanical Engineering at West Texas A&M University. He joined the College of Engineering and Computer Science in 2004, a year after it started. Since joining the department, he has been in charge of the enhancementDr. Anitha Sarah Subburaj, West Texas A&M University Dr. Anitha Subburaj is an Assistant Professor at West Texas A&M University. She received her Ph.D. in Electrical Engineering in 2014 from Texas Tech University, where she worked as a Research Assistant on the project, aˆ CœAdvanced Battery Modeling
: Ananalysis of the computational results indicates that 50 percent of F* ordinal ranks generated fell in Proceedings of the 2024 ASEE Gulf-Southwest Annual Conference West Texas A&M University, Canyon, TX Copyright © 2024, American Society for Engineering Education 2the range of the best ten out of 720. This was deemed an excellent accomplishment. The heuristicavoids the need to employ computationally intense optimization methods, yielding results througha simpler, yet effective process. IntroductionThe permutation flowshop scheduling problem (PFSP) consists in the determination of
) Omniscan (PA) Lab #9 Radiographic Safety + Getting familiar with the personal radiation safety equipment/devices + Introduction to Radiographic Testing - Image Quality (RT) CR system + Learning image processing with VMI’s STARRVIEW software (CR) Lab #10 Producing X-ray radiographs of low density/thin Computed Radiography (CR) object with CR system + Conducting image processing (CR
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
. Civil EngineeringDr. Leitch has instructed over 70 students in the Leadership in Energy and Environmental Design(LEED) criteria since 2012. This has led to several publications. A discussion of the main researchand instruction in LEED follows.The first study (3 citations) was performed by three civil engineering students in the first cohort tograduate in the program in 20137. The students were charged with learning about the LEED systemand then applying it to evaluate two buildings on the WTAMU campus. One building was therecently renovated Engineering and Computer Science (ECS) Building which began life in the 1940sas the original Science Building on campus until replaced with a much larger facility next door in1973. All three students were
Paper ID #44745Using Projects to Improve Student Engagement and Retention in aFirst-Year Engineering CourseDr. Matthew Kuester, University of Mary Hardin-Baylor Dr. Kuester is an Assistant Professor at the University of Mary Hardin-Baylor in the Computer Science, Engineering, and Physics Department. His research interests include renewable energy, aerodynamics, fluid mechanics, and engineering pedagogy.Dr. Paul R Griesemer, University of Mary Hardin-Baylor Dr. Griesemer is an associate professor of computer science and engineering at the University of Mary Hardin-Baylor in Belton, TX. His research interests include
that international doctoralstudents encounter are effectively addressed by engaging in conversation in diverse social settings Proceedings of the 2024 ASEE Gulf-Southwest Annual Conference West Texas A&M University, Canyon, TX Copyright © 2024, American Society of Engineering Education 2(e.g., during meals, excursions, and while playing badminton) as these practical and warmenvironments accelerate their English learning process. Social acclimatization is also improvedduring these activities.4This program also provides an accessible way for undergraduate students to transition to theirpostgraduate life and research experience
(seminar speakers from outside UT Austin).Since the Evan & Eddie Show was launched in the fall 2023 semester after a successful “pilotepisode” at the end of the spring 2023 semester, a formal evaluation hasn’t been completed yet.However, graduate student feedback on the Show was positive and students’ comments aligned withthe goals of the Show. (Seminar attendees were prompted to tell us what they thought about theShow on the anonymous “check-in” survey used to track attendance levels at the seminar.) • “I think it’s amazing because it personalizes the faculty/ speaker more. And it makes it relatable and very enjoyable. I’ve learned a lot as someone that struggles with confidence and taking things personally sometimes
filter for capturingemissions for future analysis. Over the semester, students employed the engineering design processto create a combustion chamber with features that make it unique and unlike any commerciallyavailable solutions to combustion characteristic observation tools. For example, the ignition armallows users to ignite samples safely and the flame sensor removes the arm from the flame once theflame has been detected preventing the arm from being damaged by prolonged exposure to the fire.Based on the findings from the unit testing, students successfully built a design system that meetsthe group’s design goals and provides a testament to students’ learning at the West Texas A&MUniversity Engineering program. Future senior design
performance in grade 12science courses. The MM group had a performance band of 72 - 81% which seems to be hard forthem to break out of without interventions and additional effort. Results indicate that it is possible todefine the MM group in a specific course using only prior achievement data. The results also furthervalidate that more than half of attrition of students happens after the first year. The study also foundthat self-regulated learning is also presumed to be an important aspect of helping the MM groupsucceed academically. Effort regulation is the learning strategy for which intervention can make ameaningful contribution toward the prospect of success for the MM. This also further validated that Proceedings of the