laboratories. To address this, wepropose developing an AI-driven course recommendation tool focused on the Electrical andComputer Engineering (ECE) domain, designed to bridge this gap by empowering students withdata-driven guidance that improves career alignment.The tool leverages machine learning (ML) algorithms to analyze job postings from industrycareers pages, extracting key trends and skills currently in demand. Using keywords associatedwith various ECE subfields—such as controls, power electronics, and power systems—, thesystem will provide students with a curated list of recommended courses corresponding to thesemarket demands. Additionally, the tool will incorporate student input, allowing them to tailorrecommendations based on their interests
investigates students’ math reasoning. She designs tasks to help students to expand their math reasoning, and she studies how instructors and departments transform practices to grow students’ math reasoning.Prof. David C. Mays, University of Colorado Denver David Mays is an Associate Professor in the Department of Civil Engineering at the University of Colorado Denver. He earned his B.S. from the University of Pennsylvania in 1995, then taught high school through Teach for America and worked as a contractor at Los Alamos National Laboratory before earning his M.S. and Ph.D. from the University of California Berkeley in 1999 and 2005, respectively. He has been at CU Denver since 2005, where he teaches fluid mechanics and
setting [16], [17], [18], [19]. Drawing studentsfrom majors across the university’s colleges, the program emphasizes the value of diverseperspectives, promoting rich interdisciplinary collaboration. Students are offered a mix ofindividual research opportunities, team-driven design projects, technical training related to theseprojects, and various activities that promote community engagement and all-arounddevelopment. The program prides itself on its holistic approach to learning, preparing studentsnot only for the laboratory but for a balanced life and career after graduation. Fairness anddiversity are thus necessary guiding values for the program to cultivate a culture of collaborativeinnovation and personal and professional growth. This
this work, future research should aim to expand the scope byincluding a larger and more diverse sample of SFS institutions. This expansion would provide amore comprehensive understanding of how different institutional environments influence SFSscholars' engagement in research activities. Additionally, longitudinal studies could be conductedto assess the long-term impacts of research participation on scholars' career trajectories andprofessional development. Specifically, it would be valuable to investigate whether involvementin research experiences correlates with an increased interest in pursuing research-orientedpositions, e.g., roles in academia, research laboratories, or advanced cybersecurity initiativeswithin government agencies.Further
. Figure 3. Robert Morris bust before its restorationThe project team included the lead author, a graduate assistant, and the laboratory engineer. AKonica Minolta Vivid 910 scanner (Figure 4a), a laser scanner, was used for the digitizationprocess. The camera had the ability to capture large free-form objects with a dimensionalaccuracy of 0.127 mm. Because of the geometric complexity of the bust, special attention had tobe paid to cavities and shiny surfaces. Since the scanner did not have the flexibility to reachhard-to-access details, the scanning process became more tedious than originally expected. Figure 4. a) Konica Minolta scanner b) Manual turntable built for the projectThe main difficulty encountered during the scanning process
, laboratories, and practical internships. Mr. Halkiyo has been teaching different Civil Engineering courses at Bule Hora University, Ethiopia, where he also served as a department head and conducted various research and community projects.Sultan Bedane Halkiyu Sultan Bedane Halkiyu pursued his Master of Science degree in Road and Transport Engineering and Bachelor’s degree in Civil Engineering at Hawassa University (2017) and Jimma University (2015) respectively. Mr. Halkiyu is working as a lecturer at Bule Hora University, Ethiopia, and teaching different Civil Engineering courses. He is a mixed methods researcher and pursuing his research interests: quality of road construction, and transport/traffic mobility in urban
Paper ID #49415The Fifth Element of Biomedical Engineering is Innovation: A QuintessentialDesign Studio Course Focusing on the ”Wearable Technology” EcosystemJohn Peponis, Lawrence Technological University John Peponis is an Assistant Professor of Practice in the Biomedical Engineering Department at Lawrence Technological University. He completed his Bachelor’s and Master’s in Biomedical Engineering at Lawrence Technological University.Dr. Eric G Meyer, Lawrence Technological University Dr. Meyer directs the Experimental Biomechanics Laboratory (EBL) at LTU with the goal of advancing experimental biomechanics understanding. Dr
during the COVID-19 pandemic has spotlighted the need forflexible instructional strategies that accommodate remote settings without sacrificingeducational quality.In engineering curricula—particularly in fluid mechanics and thermodynamics courses—therehas been a longstanding reliance on laboratory-based, hands-on experimentation [17]. However,the recent shift to virtual simulations and digital resources has prompted questions about therelative efficacy of these modalities compared to traditional physical interactions [10, 14]. As in-person classes resumed, it became crucial to evaluate how these different instructional methodsimpact student engagement and learning outcomes [1, 5].The present study addresses this need by systematically examining
challenge students to workin multidisciplinary teams and include best practices in the industry while enhancing theirtechnical as well as communication skills. We merged students from four concentration areas ofcivil engineering (structures, construction, transportation, and environmental engineering) towork in a small group of up to eight students. The project assigned included all concentrationareas and students were informed to place emphasis on all four concentration areas to enhanceculminating design experience. Some of the example projects students worked in the past fewyears include building projects for a university that includes classroom and laboratory facilities;building project for a university that includes student services facilities
research assistant professor. Dr. Kaipa directs the Collaborative Robotics & Adaptive Machines (CRAM) Laboratory where his group actively conducts research in diverse fields including swarm intelligence, autonomous systems, human-robot collaboration, bio-inspired robotics, surgical robotics, and robotics in education. Dr. Kaipa currently serves as the Associate Editor for IEEE Robotics and Automation Letters, Frontiers in Robotics & Artificial Intelligence, and ASME Journal of Computing and Information Science in Engineering.Dr. Anurag Purwar, Stony Brook University Dr. Anurag Purwar is an Associate Professor of Mechanical Engineering at Stony Brook University. His research interests are in bringing together
ofengineers to be included on each episode to show how a workplace functions and how differentengineering disciplines cooperate.This study focuses on the potential impact of interviews with practicing engineers on studentmotivation and commitment to engineering. The students involved in the study were currentfirst-year students in EGR 1000. The course serves approximately 1100 students a semester andfocuses on lifelong learning as one of its anticipated student learning outcomes. The course has alecture and laboratory component, but this study was conducted only in lecture sections of thecourse to avoid duplication of students. Not every section of the course participated in the study.Students in four sections of EGR 1000 completed an assignment that
electrode surface oxidation-reduction reactions for sensor applications, material corrosion mechanisms, and electrochemical degradation. She is a strong advocate for integrating high-impact practices, such as problem-based learning, into lectures, laboratories, and outreach initiatives to enhance student and community engagement in STEM education.Melissa Karlin, St. Mary’s University Dr. Melissa Karlin serves as the Director of Office Student Research and Inquiry (OSRI) at St. Mary’s University (StMU), and is a Professor of Environmental Science and Sustainability. A StMU faculty member since 2012, Melissa teaches undergraduate courses in GIS, ecology, experimental design, and conservation biology. Her research focuses
MechatronicSystems: Modeling, Control and Diagnosis. London: Springer, 2013. doi: 10.1007/978-1-4471-4628-5.[2] Broenink, J. (1999). Introduction to Physical Systems Modelling with Bond Graphs. Universityof Twente, Dept EE, Control Laboratory.[3] D. C. Karnopp, D. L. Margolis, and R. C. Rosenberg, System Dynamics: Modeling, Simulation,and Control of Mechatronic Systems. John Wiley & Sons, 2012.[4] D. Grande, F. Mancini, and P. Radhakrishnan, “An Automated Graph Grammar Based Tool toAutomatically Generate System Bond Graphs for Dynamic Analysis,” in IDETC-CIE2016,Volume 1B: 36th Computers and Information in Engineering Conference, Aug. 2016. doi:10.1115/DETC2016-59941.[5] F. Mancini, D. Grande, and P. Radhakrishnan, “An Automated Virtual Lab for Bond
Pennsylvania working in energy and sustainability education. She earned her BSE from Princeton in 2017 and PhD from UC Berkeley in 2022, both in chemical engineering, and then received an ASEE eFellows postdoctoral fellowship to study chemical engineering education with Milo Koretsky at Tufts University from 2022-2024.Dr. Brian P. Self, California Polytechnic State University, San Luis Obispo Brian Self obtained his B.S. and M.S. degrees in Engineering Mechanics from Virginia Tech, and his Ph.D. in Bioengineering from the University of Utah. He worked in the Air Force Research Laboratories before teaching at the U.S. Air Force Academy for sev ©American Society for Engineering Education, 2025
3. M. Yilmaz, J. Ren, S. Custer, and J. Coleman, “Hands-On Summer Camp to Attract K– 12 Students to Engineering Fields,” IEEE Trans. Educ., vol. 53, no. 1, pp. 144–151, Feb. 2010, doi: 10.1109/TE.2009.2026366 4. G. Verma et al., “A synergistic approach to outreach and teaching: Combining service learning at the college level with a summer hands-on outreach program in chemical and biomolecular engineering for high school girls,” Chem. Eng. Ed., vol. 58, no. 3, pp. 179- 189, Summer 2024. https://doi.org/10.18260/2-1-370.660-134385 5. J.N.Renner et al., “Analyzing the function of cartilage replacements: A laboratory activity to teach high school students chemical and tissue engineering concepts,” Chem
graduate education. He is completed a postdoctoral appointment in engineering education with the Engineering Cognitive Research Laboratory with Dr. Catherin Berdanier at Pennsylvania State University. He is currently a Research Scientist at Purdue University with the STRIDE research group directed by Dr. Allison Godwin at Cornell University.Dr. Allison Godwin, Cornell University Allison Godwin, Ph.D. is the Dr. G. Stephen Irwin ’67, ’68 Professor in Engineering Education Research (Associate Professor) in the Robert Frederick Smith School of Chemical and Biomolecular Engineering at Cornell University. She is also the Associate Director of the Cornell NanoScale Science and Technology Facility and a McCormick Teaching
Paper ID #45447A Course on Air Quality Monitoring and Control for Mechanical EngineeringSeniorsDr. Amir Ahmad Naqwi, University of St. Thomas The author has an adjunct faculty appointment at the Mechanical Engineering Department of the University of St. Thomas (MN), where he has been involved in the development and instruction of laboratory courses in fluid mechanics, thermodynamics, and heat transfer. He has a long-standing interest in air quality management and control. This course is a part of a package of electives including a course on water quality management and control offered by the Civil Engineering Department
deployment of newtechnologies. Additionally, both our face-to-face (F2F) and distance education (DE) studentpopulations are growing. Feedback to students is often delayed because of large class sizes. Toaddress these challenges, we have been incorporating virtual labs and automated assessments [1–2] into our information technology laboratory courses [3]. The labs and their environments haveundergone multiple updates to align with current technological trends.The most recent major redesign of the ICTN 4200/4201 Intrusion Detection Technologies courseoccurred during the 2021–2022 academic year. The new lab platform is built around a singleLinux virtual appliance that hosts multiple nested KVM virtual machines functioning as attackersor defenders. This
, 2011. [8] Linda B Nilson. Specifications grading: Restoring rigor, motivating students, and saving faculty time. Stylus Publishing, LLC, 2015. [9] Kate J McKnelly, William J Howitz, Taylor A Thane, and Ren´ee D Link. Specifications grading at scale: Improved letter grades and grading-related interactions in a course with over 1,000 students. 2022.[10] William J. Howitz, Kate J. McKnelly, and Ren´ee D. Link. Developing and implementing a specifications grading system in an organic chemistry laboratory course. Journal of Chemical Education, 98(2):385–394, 2021. doi: 10.1021/acs.jchemed.0c00450.[11] Dennis Earl. Two years of specifications grading in philosophy. Teaching Philosophy, 45(1):23–64, 2022.[12] Ella Tuson and Tim Hickey
research in the Hatton group at MIT before joining the faculty of Chemical Engineering at Virginia Tech in 2006. Dr. Martin’s research focuses on advanced materials and processes for separations, including water purification and carbon capture. The Martin group’s research has been funded by the National Science Foundation, the Department of Energy, the ACS-Petroleum Research Fund, 3M, and the Office of Naval Research. Dr. Martin has taught across the chemical engineering curriculum, including Mass & Energy Balances, Fluid Dynamics, and Mass Transfer. He has directed the Chemical Engineering Unit Operations Laboratory at Virginia Tech since 2007. He has been the recipient of multiple teaching awards, including the
an aerospace job that aligns with their values.Curriculum DevelopmentLastly, we have continued to develop and implement our aerospace macroethics lessons. In thepast year, we revised existing lessons and delivered them in an sophomore-level Introduction toAerospace Engineering course and a senior-level Space System Design course at the Universityof Michigan. We also delivered a slightly-revised lesson in a sophomore-level Aerospace VehicleDesign Laboratory at the University of Colorado Boulder in Spring 2025. In addition to theselessons, we developed a new lesson for a junior-level Spacecraft Dynamics course at theUniversity of Michigan. This new lesson addressed a regulatory issue relevant to the coursematerial: the FCC’s rule that all
PlatformThe grading platform was tested on two sets of 50 assignments graded by the GPT-4 and Qwen.AI-generated grades were compared with the human-graded benchmarks. Figure 4 shows the meanscores and variability (mean ± standard deviation) for Labs 2 and 5, with human scores serving asthe reference for comparison. In Lab 2, the human reference mean was 16.89, with Qwen scoring16.07 and GPT-4 scoring 15.72. Qwen's score was closer to the human reference, indicating betterperformance than GPT-4 in this laboratory. In Lab 5, the human reference mean was 20.44, andQwen achieved a mean score of 22.67, whereas GPT-4 scores were 21.17. Although both LLMsscore higher than the human reference, GPT-4's score is closer, suggesting that it performs betterthan
within the Department of Electrical Engineering and Computer Science at the University of Central Florida. Amoruso’s research interests encompass advancements in machine learning implementations, particularly in the domains of education, technology-enabled learning, and feedback-driven grading approaches.Prof. Ivan Garibay, University of Central Florida Ivan Garibay is the director of the Complex Adaptive Systems Laboratory (CASL) and the Master of Science in Data Analytics (MSDA) at the University of Central Florida (UCF). Dr. Garibay is a Professor in the Industrial Engineering and Management Systems department. He holds a Ph.D. in computer science with specialization in artificial intelligence, a M.S. in computer
McKay Co,” 1956, Inc.[17] N. Breslow, “A generalized Kruskal-Wallis test for comparing K samples subject to unequal patterns of censorship,” Biometrika, vol. 57, no. 3, pp. 579–594, Dec. 1970, doi: 10.1093/biomet/57.3.579.[18] R. Gammon-Pitman and T. M. Nocera, “Board 8: Work in Progress: BME Students’ Perspectives on a Laboratory Technical Writing Cycle,” in 2019 ASEE Annual Conference & Exposition, 2019.AppendixAppendix Table 1: Grading rubric for lab reportsPoint values in parenthesis Content area (40 total points) Evaluation statements Technical content (30) • Abstract provides a concise overview of the
, highlighted the pedagogical value of using thefilm The Matrix to introduce complex ideas in engineering ethics. Through this approach,students were encouraged to engage in constructive thinking, writing, and discussion aboutchallenging ethical dilemmas. Similarly, Summet and Bates [21] demonstrated how short sciencefiction stories, combined with structured assignments, could effectively engage students inethical reasoning and critical analysis, rendering abstract ethical challenges more tangible andrelatable.A key theme in the literature is the potential of science fiction to encourage interdisciplinaryexploration and critical thinking about technology’s broader implications. VanderLeest [22]described science fiction as a “mental laboratory” where
(materials, 5-8 questions),electrical (properties of electrical materials, 4-6 questions), mechanical (material properties andprocessing, 7-11 questions), and other disciplines (materials, 6-9 questions). The integration ofsustainability topics into materials science is therefore an opportunity to promote asociotechnical mindset among students and might be part of a large curriculum wide effort.A number of examples of sustainability integration into materials science courses have beenpreviously published. Ruzycki embedded sustainability into a laboratory-based materials course,including case studies, life cycle analysis, and the Granta CES software [14], [15]. Dr. Jordan’smaterials science course at Baylor University incorporated two modules with
, Morgan State University. He is also a graduate research assistant at the Sustainable Infrastructure Development, Smart Innovation and Resilient Engineering Research Laboratory also at the Civil Engineering Department. His research interests include UAV applications in high-rise and bridge infrastructures monitoring, Remote Sensing and GIS in engineering applications, engineering education, student success and hands-on engineering pedagogy for program enhancements. He is an alumnus of University of Nigeria (UNN), having earned his M.Sc. in Surveying and Geoinformatics (Remote Sensing and Geographic Information System). He previously completed a B.Sc. in Surveying and Geoinformatics, at the Lead City University
watch out for with respect to accuracy, assumptions, and extrapolation) 3.6 Transport: Describe and give examples of the three modes of transport 3.5 Thermo: Calculate changes in thermodynamic properties using the first and second laws of thermodynamics in conjunction with equations of state or departure functions 3.5 Math Methods: Apply parametric (t statistics) and nonparametric (U statistic; K-S statistic) tests to determine when significant differences exist between two or more sets of data. 3.4 Safety: Assess the safety of a laboratory operation.3.3 Survey analysis of non-core learning objectivesWe created and
application ofthe 1st and 2nd laws of thermodynamics to reciprocating engines, air-water vapor mixtures andHVAC systems, and chemically reacting systems, and concludes with a discussion of heatexchanger analysis and design.During the laboratory sessions, students worked in small groups to experimentally investigate theperformance of a vapor-compression refrigeration cycle, a spark-ignition engine, a psychrometricchamber, a residential combined heat and power (CHP) system, and an air-water heat exchanger.Students performed the experiments, collected data, and summarized their findings throughtechnical presentations and reports. In addition to the experiments, they also completed twodesign projects in their lab groups, the second one being the HVAC