Collection

2025 ASEE -GSW Annual Conference

Authors

Byul Hur, Texas A&M University

testing, measurement automation, environmental & biomedical data measurement, and educational robotics development. ©American Society for Engineering Education, 2025 1 Session 10 Python-based Microcontroller Architecture and Microcontroller Application Education in Engineering Technology Byul Hur Department of Engineering Technology and Industrial Distribution Texas A&M University, College Station AbstractPython gained

Collection

2025 ASEE -GSW Annual Conference

Authors

Mostafa Mohammad, Wichita State University; Adam Carlton Lynch, Wichita State University

torquedistribution. These failures not only reduced the drill's operational efficiency but also causedoverheating and increased wear on other components. By focusing on gear design and materials,as well as optimizing torque ratios, the Lean Six Sigma approach enabled the team to propose aredesign that improved energy transfer, reduced downtime, and enhanced the tool's lifespan.Addressing these root causes through Lean Six Sigma not only improved the power drill'sefficiency but also provided valuable insights into the importance of systematic analysis in productdevelopment. Below shows the FMEA and Pareto Chart for each of the two failures.Figure 1: FMEA focused on the Chuck and Motor systemBoth failures are assessed in terms of their severity, occurrence

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2025 ASEE -GSW Annual Conference

Authors

Lynn L. Peterson, The University of Texas at Arlington; J. Carter Tiernan, The University of Texas at Arlington; Shanna E Banda, The University of Texas at Arlington; Karthikeyan Loganathan, The University of Texas at Arlington; Nila Veerabathina, The University of Texas at Arlington

undergraduate recruiting, student activities, engineering K -12 outreach, and scholarships forShanna E Banda, The University of Texas at ArlingtonDr. Karthikeyan Loganathan, The University of Texas at Arlington Dr. Karthikeyan Loganathan is an Assistant Professor of Instruction in the Department of Civil Engineering and serves as Graduate Advisor for the Master of Construction Management program. His research areas are Wastewater Pipelines’ Condition Assessment, Non-Destructive Testing and Condition Assessment of Flexible Pavements.Nila Veerabathina, The University of Texas at Arlington ©American Society for Engineering Education, 2025 1

Collection

2025 ASEE -GSW Annual Conference

Authors

Fiona Litiku, New Mexico Institute of Mining and Technology; Curtis John O'Malley, New Mexico Institute of Mining and Technology; Matthew Luis Tyrrell, New Mexico Institute of Mining and Technology

Tagged Topics

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location. Figure 1: Completed Example MESA Bot with Arduino Circuit 5150 Gram Combat Bots150g robot kits are sent out upon request which include electronic speed controls, a remote,motors, and all the components necessary to build a small scale combat bot. There are twolessons for the 150g combat bots: Combat Robot Safety and Wiring Your 150g Bot. These lessonsare instruction manuals with pictures that a team can follow along with. Constructing a 150grobot requires the use of a soldering iron, so these robot lessons are geared toward high schooland college teams. While more resources are necessary to build 150g robots, the kits and

Collection

2025 ASEE -GSW Annual Conference

Authors

Lance Leon Allen White, Texas A&M University; Karan Watson P.E., Texas A&M University

IntroductionGenerative AI (GenAI) has fundamentally altered the educational landscape, bringing bothadvantages and challenges. In engineering education, the rapid adoption of GenAI tools hasfacilitated learning but has also spurred a notable increase in academic dishonesty. In the wake ofthis shift researchers have been quick to examine effects. Chan [1] explored this phenomena andintroduced the concept of “AI-giarism”, describing the misuse of AI tools to bypass traditionalplagiarism detection systems through a qualitative study of over 500 students. Li [2] emphasizesin their work the growing ethical dilemmas stemming from hard to monitor usage of GenAI inassessments, ultimately calling for adaptive educational policies to address this issue. It is clearthat

Collection

2025 ASEE -GSW Annual Conference

Authors

Rojan Shrestha, The University of Texas at Arlington

Tagged Topics

Diversity

Economic Technical students are highly receptive to AI integration in educationimplementation initiatives. Our approach combines descriptive statistics, Impact, which collectively assess various dimensions of students' and there is minimal resistance to AI adoptiocorrelation analysis, and pattern recognition techniques to develop a perceptions and interactions with AI in education. As shown in Table 1

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2025 ASEE -GSW Annual Conference

Authors

Araceli Martinez Ortiz, The University of Texas at San Antonio; Gabriela Gomez, The University of Texas at San Antonio; Patricia Rodriguez Ann Rodriguez, The University of Texas at San Antonio

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San AntonioPatricia Rodriguez Ann Rodriguez, The University of Texas at San Antonio ©American Society for Engineering Education, 2025 1 Session XXXX Summer Pre-Engineering Program Builds Student Confidence and Motivates Interest in STEM Araceli Martinez Ortiz, PhD The University of Texas at San Antonio Gabriela Gomez, Ed.D. The University of Texas at San Antonio

Collection

2025 ASEE -GSW Annual Conference

Authors

Pedro Cordeiro Povoa Cupertino, Wichita State University; Adam Carlton Lynch, Wichita State University

3 75%• Solution: Exploring the role of Unified Modeling Structural Behavioral Defective products Language (UML) in improving processes [1] per 1,000 units 5 1 80% Class Object Package Activity State Time spent manual• Research Gap: Diagrams Diagrams

Collection

2025 ASEE -GSW Annual Conference

Authors

Bill D Carroll P.E., The University of Texas at Arlington; Kartikey Sharan, The University of Texas at Arlington

equips students with essential skillsfor modern hardware design challenges [1].A major component of this work is the integration of hands-on lab assignments to reinforcetheoretical concepts. The labs focus on key hardware modules such as Barrel Shifters, CarryLookahead Adders, and Wallace Tree Multipliers, allowing students to develop a deeperunderstanding of digital design. This paper also discusses the educational impact of thesemodules, evaluating student engagement and comprehension improvements.Background and MotivationStudents learn SystemVerilog more effectively when they engage in challenging and interestingdigital design examples. Providing students with meaningful projects enhances their problem-solving abilities and prepares them for

Collection

2025 ASEE -GSW Annual Conference

Authors

Alexander Hernandez, West Texas A&M University; Sanjoy Bhattacharia, West Texas A&M University; Sarah Petters, University of California, Riverside; Markus Petters, University of California, Riverside

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Paper ID #49596Teaching Science and Engineering undergraduates with a liquid droplet solidificationtoolMr. Alexander Hernandez, West Texas A&M University Senior Mechanical Engineering student at West Texas A&M University.Dr. Sanjoy Bhattacharia, West Texas A&M University Assistant Professor of Mechanical Engineering, College of Engineering, West Texas A&M University, Canyon, TX-79016 ©American Society for Engineering Education, 2025 1 Teaching Science and Engineering undergraduates with a liquid

Collection

2025 ASEE -GSW Annual Conference

Authors

Surupa Shaw, Texas A&M University; Danaii Anitzel Elizondo, Texas A&M University

classroomsize on student engagement, academic achievement, and overall learning experiences has becomea topic of increasing interest and significance. This research paper embarks on a journey tocomprehensively investigate the relationship between classroom learning and smaller classroomsizes. Wang et al. [1] explored the impact of class size on student engagement and satisfaction byutilizing a comparative analysis of small and large classes, revealing that smaller class sizessignificantly enhance teacher supportiveness and overall student satisfaction. By delving into themultifaceted effects of class size reduction, we aim to shed light on the potential benefits andchallenges associated with this critical dimension of the learning environment. Benton

Collection

2025 ASEE -GSW Annual Conference

Authors

Olukayode Emmanuel Apata, Texas A&M University; John O Ajamobe, Texas A&M University; Segun Timothy Ajose; Peter Oluwaseyi Oyewole, Kent State University, Kent; Grace Iyinoluwa Olaitan

©American Society for Engineering Education, 2025 1 Session 5 The Role of Artificial Intelligence in Enhancing Classroom Learning: Ethical, Practical, and Pedagogical Considerations Olukayode E. Apata1* Department of Educational Psychology Texas A&M University John Oluwaseun Ajamobe2 Department of Teaching, Learning and Culture Texas A&M University

Collection

2025 ASEE -GSW Annual Conference

Authors

Byul Hur, Texas A&M University

automation, environmental & biomedical data measurement, and educational robotics development. ©American Society for Engineering Education, 2025 1 Session 4 Underwater robotics and boats in Embedded Systems and Engineering Technology Education Byul Hur Department of Engineering Technology and Industrial Distribution Texas A&M University, College Station AbstractEmbedded systems or microcontroller application

Collection

2025 ASEE -GSW Annual Conference

Authors

Paul J Componation, The University of Texas at Arlington

Paper ID #49677Using Agile Curriculum Development to Design a Systems Engineering ProgramCurriculumDr. Paul J Componation, The University of Texas at Arlington Paul J. Componation is the Associate Dean for Graduate and Interdisciplinary Affairs in the College of Engineering at the University of Texas at Arlington. ©American Society for Engineering Education, 2025 1 Ram kSession XXXX

Collection

2025 ASEE North Central Section (NCS) Annual Conference

Authors

Brian Scott Downey, Ohio Northern University; Anthony Middleton; Jared Timmerman, Ohio Northern University; Teagan Hendricks, Ohio Northern University; Aiden Tallet, Ohio Northern University

, less obvious stakeholder,is the university’s IT department. The office message board device requires the use of a networkin order to function correctly. There needs to be a server hosting the back end of the device. Theback end is simple, being made up of a database and a program that handles authentication. Thissimplicity means that any IT department should be able to host the required back end easily ontheir own network. Figure 1: Server DiagramData Collection​ In order to gather important information from our stakeholders, our group decided to holdsurveys for the faculty and students at our university. This was done to ensure that our designswill support the wants and needs of the stakeholders

Collection

2025 ASEE North Central Section (NCS) Annual Conference

Authors

Wesley Cole Hanson, Ohio Northern University; Cody Beagle, Ohio Northern University; Aaron Altstaetter, Ohio Northern University; Amari Shamar Patterson, Ohio Northern University

market.Through meetings with the Advisor, as well as research on the competition and designconstraints, the team divided them into design constraints and design metrics, dependingon whether the constraints needed to be met, or if it could be maximized/minimized.Table 1 below shows design constraints and metrics that the team determined to benecessary to the success of this project when put out on the market. These concern bothsafety of the product (since it is an electrical circuit), as well as digital aspects of theproject that will help improve the user experience, and help match what the standard is onthe current market. Table 1: Design Constraints Design Constraints Maximum bypass

Collection

2025 ASEE North Central Section (NCS) Annual Conference

Authors

Kathryn Chludzinski, Youngstown State University - Rayen School of Engineering; C. Virgil Solomon, Youngstown State University - Rayen School of Engineering

, and torque feedback response. Correctly tuning thesystem is essential for the best performance but is often challenging to achieve.While electronic CVTs are the newest development, research is still prevalent in mechanicalCVT design and analysis. Olav Aaen’s Clutch Tuning Handbook is an essential resource forworking with mechanical CVTs and has been cited in much of the research performed onmechanical CVTs since its publication. The handbook explores how the primary and secondaryunits work independently, and as a system together [1].Current research on mechanical CVTs typically focuses on performance prediction andoptimization, or on studying the dynamics of belt operation and temperature effects. A kinematic-based script for estimating CVT

Collection

2025 ASEE North Central Section (NCS) Annual Conference

Authors

Jarod Max Banzon, Marshall University; Mohammed Ferdjallah, Marshall University

prevention, medical records, comparative outcomes research, and biomedical sciences. He has successfully published several peer-reviewed articles in biomedical sciences, physical medicine and rehabilitation, modeling and simulation of physiological signals, motion analysis, and engineering. ©American Society for Engineering Education, 2025 Random Walk Modeling and Simulation Analysis of Coal Fly Ash Compounds Settling in West Virginia Max Banzon1, Mohammed Ferdjallah1, and Asad Salem2 1 Department of Computer Science and Electrical Engineering, Marshall University, WV 2 Department of Mechanical and Industrial Engineering, Marshall

Collection

2025 ASEE North Central Section (NCS) Annual Conference

Authors

Jundong Liu, Ohio University; Trevor Joseph Bihl, Air Force Research Laboratory; Daniel Masami Nagura, Ohio University

playing policy is trained with a reinforcement learning (RL) setup, which consists states, actions, rewards and RL learning algorithms. Human players in- teract with the environment, generating an experience buffer as they play. During the training phase of the RL agents, the human experience buffer is combined with agent-generated data to establish a reinforcement learning with human experience (RLHE) paradigm. Experimental results show that our RLHE approach significantly accelerates the training process and en- hances the performance of RL agents, demonstrating marked improvements in race car motion planning.1 IntroductionMotion planning is a critical component in autonomous robotics, unmanned aerial

Collection

2025 ASEE North Central Section (NCS) Annual Conference

Authors

Preston K Sellards, Marshall University; Mathew Allen, Marshall University; Pingping Zhu, Marshall University; Ben Taylor, Marshall University

in the use of AI in response to wildfires.IntroductionWith the continuation of climate change, society is beginning to experience an increase in wildfiresas well as an increase in intensity, threatening ecosystems and infrastructure [1]. Traditionalwildfire detection methods like satellite monitoring and ground-based patrol fall into certainweaknesses like limited coverage of an area. Unmanned Aerial Vehicles (UAVs), more commonlyknown as drones, can be equipped with advanced technologies, like AI, as a solution to thedetection and monitoring of wildfires [2]. Bitcraze's Crazyflie drones are a lightweight andmodular drone system that allows the drone to be equipped with special hardware like the AI deckto enable real-time sensing and image

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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Kastriot Palokaj, Eastern Michigan University; Justin Barnet Brock, Eastern Michigan University; Elizabeth Selby, Eastern Michigan University; Mussa Geyre, Eastern Michigan University; Ethan Victor Harper, Eastern Michigan University; Nicholas B Cote, Eastern Michigan University; John Losee, Eastern Michigan University; Daoud Sidibe Sambimana, Eastern Michigan University; Qin Hu, Eastern Michigan University

potentially be used toprovide rides for students needing assistance navigating the campus.1.​ IntroductionDoor-to-Door transportation for students with mobility issues is an issue widely ignored acrosscampuses in the nation. Campus Disability Resource Database reveals the majority of theuniversities have no service for helping students with disabilities navigate from building tobuilding [1]. Of the few that list some services, even fewer have door-to-door transportation. Aninterview with the Disability Resource Center at our University revealed that one of the mostfrequent requests students with disabilities ask for is transportation from building to building.Adjacent to this issue is the emergence of autonomous vehicles. While self-driving

Collection

2025 ASEE North Central Section (NCS) Annual Conference

Authors

Grace Hattery, Ohio Northern University; Stephany Coffman-Wolph, Ohio Northern University; Dax Amburgy, Ohio Northern University

attract more prospective students and their parents, increase studentretention through the full length of the program, and ultimately have more students attend ONU.The secondary motivation is to emphasize the “magic” of engineering – specifically what kindsof illusions and cool visual effects can be created through using the knowledge gained from avariety of engineering disciplines studied by the team’s members.Research has shown that students' engagement with their academic environment significantlyinfluences their overall success. Positive feelings toward their academic building can fosterimproved student retention, assist in student well-being, and create overall satisfaction with theircollege experience [1]. The capstone team also found that

Collection

2025 ASEE North Central Section (NCS) Annual Conference

Authors

Ragavanantham Shanmugam, Fairmont State University; Madhan Gopal Perumal, The University of Texas at Dallas; Uma Maheswari Krishnamoorthy

Tagged Topics

Diversity

. Introduction: Addressing the Challenges of Course SelectionEach year, nearly 40% of college students in the U.S. fail to graduate within six years, often dueto course misalignment and scheduling inefficiencies [1]. Many of these students, despite beingcapable, find themselves trapped in an endless loop of prerequisite confusion, last-minuteoverrides, and unclear academic advising. Navigating course selection in U.S. universities can bea daunting challenge for students. A study by the Education Advisory Board [2] found that studentswho take random or excess credits are 12% less likely to graduate on time compared to thosefollowing a structured pathway.Consider the case of Alex (an imaginary student), an engineering student who, due to unclearadvising

Collection

2025 ASEE North Central Section (NCS) Annual Conference

Authors

Yousef Sardahi, Marshall University; Asad Salem

Tagged Topics

Diversity

System for Military Applications Erin Webb1 , Josie Farris2 , Lydia Hittle2 , Yousef Sardahi* 4 , Asad Salem5 , and Mallory Lind6 1-5 Department of Mechanical and Industrial Engineering, Marshall University, Huntington, WV 25705, webb424@marshall.edu,farris33@marshall.edu, hittle@marshall.edu sardahi@marshall.edu, asad.salem@marshall.edu 5 CMI2 - Civil-Military Innovation Institute, Morgantown, WV 26505, mcoleman@cmi2.orgAbstractThis paper details a student-led research project, supervised by faculty and funded by the Civil-Military Innovation

Collection

2025 ASEE North Central Section (NCS) Annual Conference

Authors

Yousef Sardahi, Marshall University; Asad Salem

Sardahi* 3 , Asad Salem4 , Sudipta Chowdhury5 , and Brian Gazaway6 1-5 Department of Mechanical and Industrial Engineering, Marshall University, Huntington, WV 25705, webb424@marshall.edu,farris33@marshall.edu sardahi@marshall.edu, asad.salem@marshall.edu, chowdhurys@marshall.edu 5 CMI2 - Civil-Military Innovation Institute,Morgantown, WV 26505, bgazaway@cmi2.orgAbstractThis paper presents a student-led research project, supervised by faculty and sponsored by theCivil-Military Innovation Institute (CMI2), focused on reducing the physical burden on

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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Zachary Schreiber, Purdue University at West Lafayette (PPI); Anne M Lucietto, School of Engineering Technology, Purdue University at West Lafayette (PPI); Diane L Peters P.E., Kettering University

electric societypowered by solar, wind, and other forms of “sustainable” and renewable energy sources.Alternative Energy Sustainability ConsiderationsAll goods, including renewable energies and vehicles, require some form of raw materials to bemined, refined, transported, manufactured, and assembled into a final product. Vehicles andrenewable energies can include thousands of different materials and manufacturing processeswith associated transportation and emissions. The size and type of vehicle or renewable energymay require different materials and manufacturing processes that have different amounts ofenvironmental impact from creation alone. [1-4].Once manufactured and transported to consumers, the use phase becomes the next and

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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Roberto Andre Mossi, Gannon University; Ramakrishnan Sundaram, Gannon University

creating artificial intelligence that focus on the study of the livingorganisms. For this specific situation, there is an inspiration from two specific projects. The first project is the Multi-Agent Hide and Seek [1] developed by Open-AI. This project gave me the inspiration of making a environment basedon a game to study the ingenuity of AI for problem solving situations. The second project is the video I programmedsome creatures [2]. This project has the main idea of managing the behavior of the organisms with the use of genomesthrough the environment constrains. This gives a connection between the world of computer science and biology.Prerequisites Type Version Name Description Why Language

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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Jayed Pasha; Junayed Pasha, Gannon University; Ikechukwu P Ohu

workers and healthcare providers, robotics, and computer int ©American Society for Engineering Education, 2025 Traffic Flow Management of State Street-Bayfront Parkway Intersection: A Simulation Case Study Jayed Pasha1, Kyle Anderson2, Alvaro Agullo San Juan2, Junayed Pasha2*, and Ikechukwu P. Ohu2 1 Department of Civil Engineering, Military University of Science and Technology, Dhaka 12172 Department of Biomedical, Industrial and Systems Engineering, Gannon University, Erie, PA 16541AbstractTraffic congestion at intersections is a common cause of wasted time, increased fuelconsumption, environmental pollution, etc. It is a major challenge faced by almost all busy urbansocieties

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2025 ASEE North Central Section (NCS) Annual Conference

Authors

Nicholas A Baine P.E., Grand Valley State University; Karl Brakora, Grand Valley State University

Tagged Topics

Diversity

transfer students, students of color, and Pell Grant recipientsbenefiting least. The findings suggest systemic inequalities that merit further discussion.IntroductionThere has been significant study associated with the equity of access to college and the collegeadmissions process [1] [2] [3]. There are also advocates who are drawing attention to the fact thatseemingly neutral policies such as requiring remedial courses and limited credit transfers fromassociate degree programs can have unintended consequences and contribute to structural racismin higher education [4]. However, there has been less study of policies regarding tuition and feesoutside of financial aid and assistance. The work recently done in [5], explores how tuition and feesystems

Collection

2025 ASEE North Central Section (NCS) Annual Conference

Authors

Ethan Scott Stevenson, Marshall University; Jay Cook, Marshall University; Trevor Bihl, Marshall University

Tagged Topics

Diversity

payment, is acritical issue that affects power distribution systems worldwide. In the United States (U.S.),electricity theft leads to an estimated $1.6 billion in annual losses for utility companies, creatinga significant financial burden that is ultimately passed on to honest consumers through higherelectricity rates [1]. While this issue is not frequently discussed in the U.S., its financial andoperational impacts are felt across the energy sector [2]. The challenge lies not only in themonetary losses but also in the inefficiencies and operational difficulties introduced by electricitytheft, which compromise the reliability and resilience of power grids.Globally, electricity theft is recognized as a pervasive problem, particularly in developing