opportunities for gaining design experience and applying skills and knowledgefrom multiple subjects. These projects offer significant benefits to students.6. REFERENCES[1]. ABET Engineering Accreditation Commission, “Criterial for accrediting Engineering Program”, https://www.abet.org/wp-content/uploads/2024/11/2025-2026_EAC_Criteria.pdf.[2]. Mercadier, Y., & Vittecoq, P., & Doucet, P., & Plante, J., & Charron, F., & Van Hoenacker, Y. (2002, June), Design Projects in The Mechanical Engineering Curriculum at Sherbrooke University Past, Present, And Future Paper presented at 2002 Annual Conference, Montreal, Canada. 10.18260/1-2—11202[3]. Mynderse, J. A., & Gerhart, A. L., & Liu, L., & Arslan, S. (2015
ability to understand the impact of theworkshops on undergraduate research mentoring. Due to the intentionally flexible nature of ourapproach, these workshops can be implemented at additional institutions, further increasing thegeneralizability of our conclusions.AcknowledgementsThe authors would like to acknowledge the contributions of Dr. Kenneth van Treuren andfunding from the Kern Family Foundation.References[1] A. L. Zydney, J. S. Bennett, A. Shahid and K. W. Bauer, "Impact of Undergraduate Research Experience in Engineering," Journal of Engineering Education, vol. 91, pp. 151-157, 2002.[2] E. Seymour, A.-B. Hunter, S. L. Laursen and T. DeAntoni, "Establishing the benefits of research experiences for undergraduates in the sciences
.References [1] S. Park and H. Lee, “Deep learning approach to optical camera communication receiver design,” in 2021 IEEE Region 10 Symposium (TENSYMP), 2021, pp. 1–5. 10 [2] J. S´anchez, A. Mallorqu´ı, A. Briones, A. Zaballos, and G. Corral, “An integral pedagogical strategy for teaching and learning iot cybersecurity,” Sensors, vol. 20, no. 14, 2020. [Online]. Available: https://www.mdpi.com/1424-8220/20/14/3970 [3] I. Delgado, E. Sancristobal, S. Martin, and A. Robles-G´omez, “Exploring iot vulnerabilities in a comprehensive remote cybersecurity laboratory,” Sensors, vol. 23, no. 22, 2023. [Online]. Available: https://www.mdpi.com/1424-8220/23/22/9279 [4] R. Raval, A. Maskus, B
application of circuit analysis and design, computer programming, associated software, analog and digital electronics, microcontrollers, and engineering standards to the building, testing, operation, and maintenance of electrical/electronic(s) systems b application of natural sciences and mathematics at or above the level of trigonometry to the building, testing, operation, and maintenance of electrical/electronic systems c analysis, design, and implementation of one or more of the following: control systems, instrumentation systems, communications systems, computer systems, power systems or energy systems e utilization of differential and integral calculus, as a minimum, to
essential engineering (hard) and professional (soft) skills, engineering criteriamust include global skills that will help engineering professional to work globally (Arun S. Patil,2005). Global citizenship is described as “awareness, caring, and embracing cultural diversity,while promoting social justice and sustain-ability, coupled with a sense of responsibility to act”.(Robinson & Levac, 2018)4. Research Questions (RQ)The questions that arise from this are: "What motivated participants to willingly travel to Africa?"and "Did they gain satisfactory learning experiences that justified their decision? If so, what wasthe nature of these experiences?" Furthermore, after the conclusion of the PBL program, multiplestudents reported that their
machinery and help to drive behavior in learning environments. His academic training was in Physics and Philosophy before he turned to science (particDr. Ken Kiger, University of Maryland, College Park ©American Society for Engineering Education, 2025 Go with the Flow! Empowering hands-on individual fluid dynamics educationG Arzate-Juarez, D Boback, A Diep, A Dyson, J Nuntha Kumar, V Patel, T Pierce, J Sambrano, S Selebangue, A Sheahy, S Suresh, M Taesun Yi, A Elby, K Kiger University of Maryland, College ParkHands-on laboratory experiments are a standard component of many introductory college-levelcourses in fluid dynamics. When done well
design and implementation or rely on computer simulations,despite the recognized need for hands-on experimentation. This lack of PLC education representsa gap in knowledge that would be important for all students who will work in an industrialenvironment, especially those going into the field of process control.Over the past year, we introduced a liquid level system controlled by Opto-22’s ProgrammableAutomation Controller (PAC) architecture and Opto-22's Edge Programmable IndustrialController (EPIC) training center in the Senior Process Control Lab. The PAC architecture isanalogous to PLC in industrial automation and EPIC is an updated version of this architecture.These systems were specifically designed to provide students with practical
research interests include talent development in STEM fields.Mr. Joseph Anthony Donndelinger, Baylor University Mr. Donndelinger joined Baylor Universityˆa C™s School of Engineering and Computer Science as a Clinical Associate Professor after 23 years of experience in the automotive and cutting tool industries. During his 16 years as a Senior Researcher at General MoProf. 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
from previous years, manyparticipants perceived it to be simpler than Lab 6’s multi-step challenges—a testament to theirimproved preparedness. Lab 7 marked a shift to mobile robotics as learners teleoperated aTurtleBot 4 in a maze, introducing sensor data interpretation and basic navigation strategies.Building on that, Lab 8 asked them to write an exploration script for autonomous movement,requiring further integration of sensor feedback and more advanced navigation logic.Finally, Lab 9 culminated in the implementation of the A* search algorithm to identify optimalexploration points and complete a full map of the environment. This exercise combined conceptsfrom earlier labs, highlighting advanced path planning and perception skills as
wisdom, scientific knowledge and the teachings of plants. Milkweed editions.Lambrinidou, Y. (2018). When Technical Experts Set Out to “Do Good”: Deficit-Based Constructions of “the Public” and the Moral Imperative for New Visions of Engagement. Michigan Journal of Sustainability, 6(1). https://doi.org/10.3998/mjs.12333712.0006.102Leiser, S. (2022). A 20-year review of Flint finances shows consequences of lack of investment | Gerald R. Ford School of Public Policy. Ford School of Policy. https://fordschool.umich.edu/news/2022/20-year-review-flint-finances-shows-consequenc es-lack-investmentLeydens, Jon A. "Sociotechnical communication in engineering: An exploration and unveiling of common myths
Paper ID #48387Exploring Civil and Environmental Engineering for First-Year StudentsDr. Kevin Haas, Georgia Institute of Technology Dr. Haas is a Professor and Associate Chair of Undergraduate Programs in the School of Civil and Environmental Engineering at Georgia Tech. He has been a faculty member since 2003 with a research focus on coastal processes and ocean energy. Dr. Haas has been involved in education innovation including collaborative learning in the classroom.Dr. Adjo A Amekudzi-Kennedy, Georgia Institute of Technology Professor Adjo Amekudzi-Kennedyˆa C™s research, teaching and professional activities focus on civil
accreditation challenges and ensure educational excellence. It also opens new pathways for fostering global partnerships and shaping policies that promote innovation, quality, and equity in education across borders.. References[1] M. Iqbal Khan, S. M. Mourad, and W. M. Zahid, “Developing and qualifying Civil Engineering Programs for ABET accreditation,” Journal of King Saud University - Engineering Sciences, vol. 28, no. 1, pp. 1–11, Jan. 2016, doi: 10.1016/j.jksues.2014.09.001.[2] J. A. Memon, R. E. Demirdöǧen, and B. S. Chowdhry, “Achievements, outcomes and proposal for global accreditation of engineering education in developing countries,” Procedia Soc Behav Sci, vol. 1, no. 1, pp. 2557–2561, 2009, doi: 10.1016
to increase their learning by providing the opportunity to learn from their mistakes.Automation also assists professors by reducing the time they spend grading student work.Previous work showed that students preferred using an automated grading system to having a TAgrade their work.A web-based system has been developed based on the email-based system currently used at theuniversity. Interfaces were developed to grade AutoCAD, SOLIDWORKS, Excel, and LabVIEWfiles. From the student perspective, students choose the assignment they are submitting and thenupload the appropriate file(s). The back end of the web page grades the student’s work, providingtextual and graphical feedback on their submission. On the web page, students can review
. 5, pp. 2630–2643, 2024. [2] S. M. Holder, L. Hang, and B. K. Johnson, “Investigation of transmission line protection performance in an electric grid with electronically coupled generation,” in 2013 North American Power Symposium (NAPS), 2013, pp. 1–6. [3] IEEE PES Industry Technical Support Task Force and IEEE / NERC Task Force on Short-Circuit and System Performance Impact of Inverter Based Generation, “Impact of Inverter Based Generation on Bulk Power System Dynamics and Short-Circuit Performance PES-TR68,” Technical report PES-TR68, no. July, pp. 1–71, 2018. [4] M. Nagpal and C. Henville, “Impact of power-electronic sources on transmission line ground fault protection,” IEEE Transactions
Curricular Complexity Faced by Transfer Students: 2+2, Vertical Transfers, and Curricular Change,” in 2022 ASEE Annual Conference & Exposition, ASEE, 2022. doi: 10.18260/1-2--41462.[13] R. Molontay, N. Horvath, J. Bergmann, D. Szekrenyes, and M. Szabo, “Characterizing Curriculum Prerequisite Networks by a Student Flow Approach,” IEEE Transactions on Learning Technologies, vol. 13, no. 3, pp. 491–501, Jul. 2020, doi: 10.1109/TLT.2020.2981331.[14] G. L. Heileman, C. T. Abdallah, A. Slim, and M. Hickman, “Curricular Analytics: A Framework for Quantifying the Impact of Curricular Reforms and Pedagogical Innovations,” Nov. 2018, [Online]. Available: http://arxiv.org/abs/1811.09676[15] S. M. Padhye, D
, communicate effectively, complete academic tasks,and prepare for future careers in an increasingly technology-dependent societyReferences[1] M. Pantic, A. Pentland, A. Nijholt, and T. S. Huang, “Human Computing and Machine Understanding of Human Behavior: a survey,” in Springer eBooks, 2007, pp. 47–71. doi: 10.1007/978-3-540-72348-6_3.[2] “Smartphones as Partners in Teaching and Learning,” International Journal of Academic Research and Reflection, Vol. 7, No. 1, 2019, ISSN 2309-0405. [Online]. Available: https://www.idpublications.org/wp-content/uploads/2019/02/Full-Paper-SMARTPHONES- AS-PARTNERS-IN-TEACHING-AND-LEARNING.pdf. [Accessed: 05-Mar-2023].[3] “Computer and internet use in the United States: 2018,” American
students who participated in2024 competition, particularly Demayla Jenkins and Elison Decarvalho, the NAHB StudentChapter President and Vice-President, respectively, for their exemplary leadership andcommitment, London McSwain and Junie Saint Juste, and Jasmine Walker, the studentcompetition team captains, for their outstanding efforts in guiding their teams and ensuring thesuccess of this initiative.Their contributions have been instrumental in making the 2024 NAHB Student Competition arewarding and inspiring experience for all involved. 8. REFERENCES1. Konak, A., Kulturel-Konak, S., Schneider, D. R., & Mehta, K. (2024). Enhancing student learning in innovation competitions and programs. European Journal of Engineering Education, 1-21.2
intoacademic curricula and enhancing professional training can foster a more environmentallyresponsible construction industry, benefiting communities and stakeholders by reducingenvironmental impacts and promoting cost-effective recovery efforts. These efforts align withSDGs and pave the way for a more sustainable built environment.AcknowledgmentsThis research was partially funded by the National Science Foundation Innovation Corps (NSF I-CORPS), Grant Number 2317424.References[1] A. F. Abd Rashid and S. Yusoff, “A review of life cycle assessment method for building industry,” 2015, Elsevier Ltd. doi: 10.1016/j.rser.2015.01.043.[2] C. Calle Müller, P. Pradhananga, and M. Elzomor, “Pathways to decarbonization, circular construction, and
-BoardDiagnostics, or OBD) now required mechanics to demonstrate mechanical, electrical, andelectronic mastery across an ever-wider array of systems. By the early 1980’s, research onautomotive repair costs continued to reiterate the common complaints about the shortage ofqualified mechanics and training programs as well as the increasing technological complexity ofvehicles [6], [7]. The introduction of computerization to automotive technology maintained, ifnot exacerbated, the perennial lack of trained mechanics that the industry had been strugglingwith since the very inception of the automobile [5], [8]. The path to a career as an automotive mechanic today varies by location and employers’preferences. In some areas, local and state laws dictate a
. Vijay Devabhaktuni, Illinois State University Vijay Devabhaktuni (S’97-M’03-SM’09) received the B.Eng. degree in EEE and the M.Sc. degree in Physics from BITS, Pilani, India, in 1996, and the Ph.D. degree in electronics from Carleton University, Ottawa, Canada, in 2003. From 2005 to 2008, he held the Canada Research Chair in Computer-Aided High-Frequency Modeling & Design, Concordia University, Montreal, Canada. In 2008, he joined the Department of Electrical Engineering & Computer Science, University of Toledo, Toledo, as Associate Professor, and was early promoted to Professor in 2013. Between 2018 and 2021, he worked for Purdue Northwest, Hammond, as Chair of Electrical & Computer Engineering. Between
Fujiuchi, Yi Zhang, and all of the participants whoplay tested the game and provided valuable feedback. This project was funded by two successiveInnovative Instructional Technology Grants from the State University of New York (SUNY).ReferencesFoss, S. K., & Griffin, C. L. (1995). Beyond Persuasion: A Proposal for an Invitational Rhetoric.Communication monographs, 62(1), 2–18.Gupta, A.H. (2021, December 27). Crash Test Dummies Made Cars Safer (for Average-SizeMen). The New York Times. https://www.nytimes.com/2021/12/27/business/car-safety-women.html.Halada, G. P., Sharma, S., Scarlatos, L., & Zhang, Y. (2024, April). Enhancing Inclusivitythrough Alternative Rhetoric in STEM Education. In ASEE Mid-Atlantic Section SpringConference.Halada, G
Mural (www.mural.co) and provided a rich set of information regarding howto prepare our students for the near future.We augmented the available information from Mural with a follow-up “pulse” survey topractitioners and faculty, with the objective of working toward consensus on defining the skillsetand mindset needed by future civil and environmental engineers with respect to the use of AI.BackgroundSince the 1950’s researchers have been collaborating across many disciplines to betterunderstand how Artificial Intelligence (AI) can provide efficient problem-solving pathways whenmodeling and optimizing [1]. The American Society of Civil Engineering has a long history ofpromoting the use of computing power in civil engineering with documented use
: • System power is generated by solar panel(s) and stored in batteries. • Battery charging and discharging need to be managed. • Depend on the load types, system may or may not include inverters. • Current and voltage of the solar panel and the energy storage unit need to be monitored. • Hourly data need to be logged. • System needs to be assembled and installed for use in an application.The first step of the project involves identifying a problem, followed by creating a requirementsdocument and a test plan for the system. Students must meet several milestones to ensure steadyprogress. These milestones include: • Problem statement and solution description (week 7): Each team will draft a brief problem statement and
SSRN: https://ssrn.com/abstract=4807516 or http://dx.doi.org/10.2139/ssrn.4807516 3. Biswas, S.S. Role of Chat GPT in Public Health. Ann Biomed Eng 51, 868–869 (2023). https://doi.org/10.1007/s10439-023-03172-7 4. American Society of Engineering Education website: https://www.asee.org/events/Conferences-and-Meetings/ASEE-Conference-Proceedings-Search 5. Feldman, U., & Cherry, C. (2024, June), Equipping First-Year Engineering Students with Artificial Intelligence Literacy (AI-L): Implementation, Assessment, and Impact Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. 10.18260/1-2--473276. Peuker, S. (2024, June), Evaluation of the Utilization of Generative Artificial Intelligence
[1] G. A. Garcia, A.-M. Núñez, and V. A. Sansone, “Toward a Multidimensional ConceptualFramework for Understanding ‘Servingness’ in Hispanic-Serving Institutions: A Synthesis of theResearch,” Review of Educational Research, vol. 89, no. 5, pp. 745–784, Oct. 2019, doi:10.3102/0034654319864591.[2] J. Ritchie, J. Lewis, C. M. Nicholls, and R. Ormston, Eds., Qualitative research practice:a guide for social science students and researchers, 2. ed. Los Angeles, Calif.: Sage, 2013.[3] A. Srivastava and S. B. Thomson, “Framework Analysis: A Qualitative Methodology forApplied Policy Research,” Journal of Administration & Governance, vol. 4, no. 2, pp. 72–79,2009.[4] N. K. Gale, G. Heath, E. Cameron, S. Rashid, and S. Redwood, “Using
, possessing limitations. diagrams, and/or text. Assumptions Differences from the referent that Represented as a directed connection define the model. e.g., idealization from the referent to the model. All of the referent [21], neglect of assumptions lead to some limitation(s). natural phenomena outside the system boundary. Limitations Aspects of the referent that cannot Represented as a directed connection be represented by the model. from the model to the referent. All limitations arise from some assumption
of soft skills for engineering," Creative Education, vol. 11, no. 8, pp. 1504–1520, 2020.[5] H. Ebrahiminejad, "A systematized literature review: Defining and developing engineering competencies," paper presented at 2017 ASEE Annual Conference & Exposition, Columbus, OH, Jun. 2017. [Online]. Available: https://peer.asee.org/27526.[6] P. Arthur and S. Koomson, "Is student internship still beneficial today? The views of multi-parties in Ghana," PSU Research Review, vol. 8, p. 609632, 2023.[7] D. Spanjaard, T. Hall, and N. Stegemann, "Experiential learning: Helping students to become ‘career-ready’," Australasian Marketing Journal, vol. 26, no. 2, pp. 163–171, 2018.[8] D. Jackson
minimal energy to ignite. There were open flames in the vicinity of thehydrogen-nitrogen blending system. The author has never forgotten physically shaking in the carwhile driving away from the plant because of the realization that this potentially explosivesituation could have killed the author and many of the plant workers.The author sent the client follow-up instructions after the visit concerning how to connect thesafety equipment. Those instructions were already contained in the very detailed, extensive, andthick manual that had been sent with the equipment. Based on Vendor 1’s experience, whilemuch time was devoted to creating those manuals, it was well known that most clients paid littleattention to them. Sending potentially dangerous
get the mostout of them, which severely limits the savvy and nuance needed to effectively cheat. Thestudents may reach that point, given enough time and opportunities to develop such skills, butthe vast majority of students do not seem to be there yet. At this point, there are more low-hanging-fruit methods to be academically dishonest if they choose to be. Perhaps using GenAIcan actually stem the attempts to cheat by making it harder to do. That is a question for adifferent study. References[1] S. Lock, "The Guardian," 5 December 2022. [Online]. Available: https://www.theguardian.com/technology/2022/dec/05/what-is-ai-chatbot-phenomenon- chatgpt-and-could-it-replace-humans. [Accessed 10 January
variables (items) inwhich factor loadings ranged from 0.743 to 0.813. Factor 2 and Factor 3 each included threeobserved items. Factor 2’s observed variables demonstrated exceptional results with twoobserved variables (CON-12 and CON-17) to be values greater than 1, indicated a strongalignment between the observed data and the hypothesized clustering of this factor. Factor 3demonstrated relatively lower results of 0.812, 0.741, and 0.635 but all are still above therecommended threshold of inclusion (0.04). Factor 4 included six observed variables with factorloadings ranging from 0.633 to 0.891, with CON-9 demonstrating the highest factor loading ofthe cluster. With this, all factor loadings for the indirect assessment instrument measuringConnections