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
Cooper is Professor and Associate Head for Graduate Programs in the Department of Physics at the University of Illinois at Urbana-Champaign. He received his B.S. in Physics from the University of Virginia in 1982, his Ph.D. in Physics from the University of Illinois in 1988, and he was a postdoctoral research associate at AT&T Bell Laboratories from 1988-1990. His research interests include optical spectroscopic studies of novel magnetic and superconducting materials at high pressures, high magnetic fields, and low temperatures. Since 2013, he has co-taught (with Celia Elliott) a graduate-level technical writing course each spring to physics and engineering graduate students.Dr. Lynford Goddard, University of Illinois
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
conceptslend themselves to hands-on activities but can be difficult to implement on a smaller scale in alecture classroom setting (as opposed to a large laboratory or outside environment, where mostexamples in this field take place) to first-year or transfer students without prior knowledge of thetopic. Typically, at the University of Illinois Urbana-Champaign, mass transport is taught in arequired junior level course, requiring differential equations related to fluid dynamics.One specific topic of interest is the transport of mass through a porous medium, modeled byDarcy’s Law. We designed a low-cost protocol in which students in BIOE 120 tested theproperties of soils that emulated other permeable materials relevant to bioengineering. First,student
Director until his retirement in 2018. He was RPI ECSE Department Head from 2001 to 2008 and served on the board of the ECE Department Heads Association (ECEDHA) from 2003 to 2008. He is a Life Fellow of the IEEE.Prof. Miguel Velez-Reyes, University of Texas at El Paso Dr. Miguel Velez-Reyes is the George W. Edwards/El Paso Electric Distinguished Professor in Engineering and Chair of the Electrical and Computer Engineering Department at the University of Texas at El Paso (UTEP). He also holds a joint appointment with Pacific Northwest National Laboratory (PNNL) as a Senior Scientist. Dr. Velez-Reyes is an accomplished educator, researcher and mentor. He is an experienced researcher in exploitation of remote sensing data
from 2004-2009, where she established the research center, championed a Master of Building Science/Building Engineering program, and developed a major Building Envelope Test Facility. After working in the department of Architectural Science at Ryerson University for over two years from 2010-2012, she joined the department of Building, Civil and Environmental Engineering at Concordia in Aug. 2012. Dr. Ge is a Tier II Concordia University Research Chair (CURC) in High Performance Building Envelope for Climate Resilient Buildings. Her expertise is in large-scale laboratory testing, field monitoring and modeling of hydrothermal performance of building envelopes, and quantifying wind-driven rain loads by field
problem.Solutions to example problems, class activities, and individual homework were posted in theLMS. The students also had a group design project, two group laboratories with memos, threeindividual exams, and a comprehensive, individual final exam. Pre-class Activities In-class Activities Post-class Activities Video Video Example Homework Lecture Quiz Attempt Laboratory Instructor Group Design Solution Activity ProjectFigure
Engineering at the University of Tennessee, Knoxville. She holds a Bachelor of Science in Civil Engineering from the University of Alaska, Anchorage, as well as a Master of Science in Geotechnical Engineering and a Doctorate of Philosophy in Structural Engineering from the University of South Florida, Tampa. Sarah is a registered professional engineer in the state of Alaska where she worked as a staff engineer for the Department of Natural Resources. She has been a faculty member at the University of Tennessee since the Fall of 2019 where she serves as a laboratory specialist in the fields of materials, geotech and structures. Sarah mentors students by serving as an advisor for the student chapter of the Society of
involving teaching,research, and administrative duties (Campbell & Slaughter, 1999).Utilization of University ResourcesAcademic entrepreneurship can lead to the misuse of university resources, such as laboratories,libraries, servers, offices, equipment, supplies, and personnel, for a researcher’s private ventures.For example, faculty may use university-maintained research facilities to develop a product ortechnology that directly benefits their startup. They may use software, databases, computationaltools, or data generated through university-funded research for purposes beyond academic work.They may also assign startup work to graduate and undergraduate students or other researchpersonnel funded by the university, blurring the line between
winglet using computational tools to optimize aerodynamicefficiency. Similarly, an energy systems course could task students with assessing theenvironmental impact of different propulsion technologies and proposing innovative solutionsfor fuel efficiency. Practical exercises involving wind tunnel testing or computationalsimulations will provide students with hands-on exposure to industry-standard tools.Fire suppression, infrastructure and storage needs, and handling and distribution are vitalcompetencies that can be covered through laboratory-based training and field visits to aviationfacilities. A structured lab course should require students to test and evaluate fire suppressionsystems under controlled conditions, simulating various aircraft
evidence oflearning support information sustained by Spring 2023. This indicates a need to improve thecommunication of campus learning supports and university-wide academic resources to studentsin syllabi. Learning supports such as tutoring centers and academic resource offices have helpedretain students in engineering studies [45], and university writing centers have been shown toimprove student aptitude in engineering laboratory courses [46]. Due to the impact of campuslearning supports on student success and retention in engineering, it is recommended thatinstructors continue to use syllabi to communicate to students about these resources and where tofind them.There was an increase in the percentage of course syllabi containing information on
the Associate Director ofthe Data Science program partnered to create easily accessible videos for instructors. They alsostarted holding regular workshops for faculty online and in the library.KSU currently has one research center and one interdisciplinary institute with a significantamount of activity related to artificial intelligence. The Center for Artificial Intelligence and DataScience within the Computer Science Department conducts basic and applied research into topicsincluding algorithms for data analysis, multi-agent and cooperative reasoning, knowledgerepresentation and machine learning from temporal and spatial databases. The center currentlyhas nine faculty operating in eight research laboratories. The Institute for Digital
Paper ID #48726Unraveling Intersecting Hispanic and Latin´e Engineering Student Identitiesto Understand Sense of Belonging at a Hispanic Serving InstitutionMelissa Lepe, University of California, Irvine Melissa Lepe is a Ph.D. student at the University of California-Irvine. Her research interests include aircraft sustainability, aeroacoustics, and engineering education. Through her work at the UCI Aircraft Systems Laboratory and the STREAM Laboratory, she has worked on merging her interests in aviation and education to promote inclusivity, equity, and diversity in the aerospace field.Spencer Currie, University of
. Manyprofessionals were still working from home and had restrictions post-pandemic. This madefinding industry sponsors particularly difficult. In addition, it sometimes made it difficult forstudents to meet or communicate with sponsors. Despite these challenges, the return to in-personinstruction and a multidisciplinary capstone program was successful and set the stage forimprovements in subsequent academic years.2.2 Year 2: Advancement of Capstone Resources (2022-2023)The opening of the Capstone Design Laboratory in 2022-2023 provided students with advancedtools and resources for prototyping and construction of their final projects, leading to improvedquality. The students were afforded more meeting/collaborative spaces with the opening of ournew academic
, the American Institute of Chemical Engineers (AIChE). She has served in various administrative roles at Michigan Tech and is a former President of ASEE. She earned the AES Electrophoresis Society’s Lifetime Achievement Award in 2022 and was a prior Michigan Professor of the Year Nominee, which illustrates her dual passion for leveraging research and education for student growth and societal advances. While directing the Micro Medical Device Engineering Research Laboratory (uM.D. – ERL), she has managed ˜$14.9 million, yielding 104 research graduates, a patent, and >110 publications. Her favorite quote is by Ray McDermott, ”Culture is not a past cause to a current self. Culture is the current challenge to
and Fall 2023 semesters.In Spring 2022, experiential learning modules were introduced to both Statics and Dynamics labsto provide hands-on experiments to aid students’ comprehension of select problems. Theimplementation builds upon previous work of using adaptive 3D coordinate models to facilitatehands-on experiential problem-solving in group laboratory sessions. In the first phase of theproject, the authors sought to develop and construct the physical units to use in the modules andto identify the topics in the courses the modules should cover. In the second phase of the project,the authors have worked with other faculty teaching the courses to implement the experientiallearning modules. These experiential learning modules have continued in
Engineering. Her teaching focus has been on hands-on BME laboratory courses. She is also interested in broadening participation and retention in BME. ©American Society for Engineering Education, 2025 Industry Mentorship Program Brings Increases in BME Internships, Co-Ops, and Career Placement for Undergraduate StudentsIntroduction:The notion that biomedical engineering (BME) students struggle to transition from undergraddirectly to industry positions still persists [1]. This problem has been looked at from a variety ofangles. There are critiques that BME programs and curriculum are too broad which maydisadvantage undergraduates looking for industry positions
Students’ Fundamental Vector and Calculus Skills in an Undergraduate Engineering Dynamics Course Paper presented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference. 10.18260/1-2— 37313[11]. Kraemer, D. R. (2017, April), Real-world Acceleration Measurements for Engineering Dynamics Course Paper presented at 2017 ASEE Mid Atlantic Section Spring Conference, Morgan State University, Baltimore, Maryland. 10.18260/1-2--29264[12]. Haque, M. S. (2021, July), Work in Progress: Hands-on Engineering Dynamics using Physical Models in Laboratory Sessions Paper presented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference. 10.18260/1-2—38165[13]. Morrison, D., & Zahraee, M., &
instructors are not gaining information about students that theywould otherwise be denied access to, student data is anonymized before being displayed in theCRD, and no individually identifiable information is displayed to the user of the tool.The university assigns unique numeric codes, referred to as Course Reference Numbers (CRNs),to each course session, such as lectures, discussions, laboratory sections, etc. When courses havemultiple components, such as a lecture and lab, a student may be registered in two different CRNsfor a single course. To compensate for this, the CRD tool compiles student numbers for thecourse, not each individual CRN. Additionally, cross-listed courses where two sections withdifferent CRNs meet together can be combined
sequential coursework, especially until the senior year. The use of AI to help solve engineering problems as a collaboration tool is being used inengineering classrooms at increased frequency, hence the motivation of this paper to look at theuse of AI in developing professional skills in engineering undergraduate education. Using AI asprompts to help students draft papers or laboratory reports is starting to emerge in undergraduateengineering programs, although using AI to teach or enhance professional skills seems to be anew area of research [5]. One paper found that the typical use and extent of using generative AIin engineering classes based on student surveys [6] and the general impact of AI incommunication skills training has been
, experiencing hands-on laboratory science, and learning thatthere is more than one way to approach a problem and that those methods may not be given toyou. All of these skills are important to being a practicing engineer. Everyone in the classapproached ill-structured problems; the result of their math methods is not necessarily indicativeof the highest math knowledge. Having entry-level students solve exciting, complex designproblems through an engineering perspective can perhaps even encourage them to stay in themajor and complete all the math requirements.LimitationsWhile this study provides insights into how early-stage undergraduates approach math in designchallenges, it is limited to data from a relatively small sample size. Data was collected
improve motivation and cognition,” Educational Psychologist, vol. 48, no. 4, pp. 243-270, 2013.[15] J. Hampton-Marcell, T. Bryson, J. Larson, T. Childers, S. Pasero, C. Watkins, R. Thomas, D. Flucas-Payton and M. E. Papka, “Leveraging national laboratories to increase Black representation in STEM: Recommendations within the Department of Energy,” International Journal of STEM Education, vol. 10, no 1, pp. 4, 2023. Doi: 10.1186/s40594-022-00394-4.[16] K. H. Collins, “Confronting color-blind STEM talent development: Toward a contextual model for black student STEM identity,” Journal of Advanced Academics, vol. 29, no. 2, pp. 143-168, 2018. doi: 10.1177/1932202X18757958.[17] J.S. Gray, M. A. Brown, and J