design. The word cloud in Figure 3(b) fromCVET-464 students included the most used words: "real," "example," "project," "future," and"case studies" indicating an emphasis on practical, hands-on learning and preparation for theprofessional field. (a)Word Cloud for CVET-434 (b) Word Cloud for CVET-464 Figure 3. Responses to how the Incorporation of Case Studies into the Curriculum can Benefit Future Civil Engineering and Construction ProfessionalsCVET-434 students view case studies as a tool for learning from past structural failures andimproving engineering design. CVET-464 students value case studies as a way to bridgeclassroom learning with real-world construction experiences. Both groups agree
Paper ID #47678BOARD # 462: The Role of the NSF S-STEM funded ACCESS Project inRecruiting and Supporting Cybersecurity StudentsProf. Katerina Goseva-Popstojanova, West Virginia University Dr. Katerina Goseva-Popstojanova is a Professor at the Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV. Her research interests are in software engineering, cybersecurity, and data analytics, as well as in higher education focused on these areas. She has served as a Principal Investigator on various NSF, NASA, and industry funded projects. She leads the B.S. in Cybersecurity program
vibrational states. This foundationis crucial for linking classical vibrational principles to advanced topics like thermodynamics and quan-tum behavior.Figure 2: Visualization of Foundational Knowledge: Demonstrating the Transition from ClassicalTheory to Quantum Concepts Using MBL Tools Across 1D, 2D, and 3D Oscillatory Modes As illustrated in Figure 2 (b), the instructor began with a 1D example, using the vibrationalmodes of a guitar string to demonstrate the fundamental principles of oscillatory behavior. This 1-Dvisualization enabled students to understand the sequential progression from the fundamental mode(1st mode) to higher-order modes (2nd and 3rd modes) while highlighting the distribution of vibrationalenergy and the relationship between
Society chapter at UCD, where she serves as the graphics designer and actively contributes to the Outreach and Fundraising committees. Alongside her involvement in BMES, Angelika is an enthusiastic member of B-Hours, a student-run organization dedicated to projects benefiting clinics in Sacramento. Focusing her course studies in cell and tissue engineering, Angelika is currently seeking research opportunities to further explore her passion in bioprinting and regenerative medicine. ©American Society for Engineering Education, 2025 Work in progress: Preparing Biomedical Engineers to Tackle Biases in Machine LearningIntroductionFrom just 21 FDA-authorized (including
. Chen, “What is Energy? Examining Engineering Students’ Conceptions of Energy,” in 2020 ASEE Virtual Conference, 2020.[21] B. S. Bloom, M. D. Englehart, E. J. Furst, W. H. Hill, and D. R. Krathwohl, Taxonomy of educational objectives: Handbook 1. Cognitive domain. . White Plains, NY: Longman, 1956.[22] D. R. Krathwohl, “A Revision of Bloom’s Taxonomy: An Overview,” Theory Pract, 2002.[23] L. H. Waite, J. F. Zupec, D. H. Quinn, and C. Y. Poon, “Revised Bloom’s taxonomy as a mentoring framework for successful promotion,” Curr Pharm Teach Learn, vol. 12, no. 11, pp. 1379–1382, Nov. 2020, doi: 10.1016/J.CPTL.2020.06.009.[24] W. Boles, D. Jayalath, and A. Goncher, “Categorising conceptual assessments under the
Appendix B. To analyze these plans, the research team utilized a document analysis approach. Each teammember independently reviewed the plans to identify themes and patterns. Regular meetings wereconducted to compare findings, address discrepancies, and refine the coding framework. Additionally, theteam explored precedents of vertically integrated topics across K-12 education to contextualize theapproach within existing educational models. The iterative analysis allowed the team to synthesize findingsacross districts/grade levels.Preliminary Findings The analysis of the VA plans from each school district provides a perspective of how educators andadministrators planned to integrate semiconductor content/experiences across schools, grades, and
hours 2-5 hours 5-10 hours 10-15 hours Less than 2 hours 2-5 hours 5-10 hours 10-15 hours Over 15 hours Over 15 hours Over 15 hours(a) Impact on student’s life. Total responses = 55 (b) Self-reported hours/weekFigure 5. Impact of participation on students’ life: Break out with respect to hours/weekconsists of only 61 student responses taken
knuckles using the pneumatic haptic muscles (Fig. 3-b). Compared tocurrent methods, this device feels more intuitive. Unlike bulky wearable devices, it resembleswearing a thin glove, thanks to its integration of stretchable sensors and electronics that areprinted. Figure 3 represents the first prototype of the motion capture glove (Fig. 3-a), and theoverall motion capture glove system (Fig. 3-b). The overall idea is to enable a user to conduct arobotic procedure (either in the same room or remotely) through wearing a motion capture glovethat controls a remote robot operating on a patient. Figure 3. Soft Robotic Glove and Sleeve Human Machine Interface (HMI).3.2. The identification of the end usersThe original research proposal did not
]. Thisinterdisciplinary approach supports student learning and demonstrates how engineering designserves as a powerful integrator of STEM disciplines [1], [12], [13], particularly through contextand content integration [9].B. Motivating and engaging contextsStudents engage more strongly with content when instructors provide a motivating and engagingcontext. Here the word “context" is used to describe a narrative or a scenario that helps studentsunderstand or apply content. Students are motivated when they understand the utility of thecontent being learned and can apply the learning to be of use to others [5]. Additionally, whenpersonal connections to content are clear, students are more inclined to persevere throughchallenges and demonstrate an increased desire
unbiased evaluation of modelperformance. The training set constituted 70% of the data, while 20% was reserved for validation and 10% for testing. These preprocessing steps ensured that the models were trained on a diverse and well-prepared dataset, allowing forreliable performance comparisons across SegNet, U-Net, and YOLO-Seg. As shown in Table I, the dataset was efficientlylabeled using Roboflow, a free and user-friendly annotation tool. Its intuitive interface eliminates the need for specializedtraining, making it accessible even to users with minimal technical expertise. TABLE I S UMMARY OF B LOOD C ELL DATASET
Paper ID #47801Empowering the Next Generation of Women Engineers: Early Outreach andMentorship through Targeted STEM ProgramsProf. Abas Sabouni, Wilkes University Professor Abas Sabouni joined the Department of Electrical Engineering at Wilkes University in 2013. He received his Ph.D. in Electrical and Computer Engineering from the University of Manitoba, Winnipeg, Canada, in 2011. From 2011 to 2013, he served as a postdoctoral fellow in the Biomedical Engineering ´ Department at Ecole Polytechnique de Montr´eal and the Montreal Neurology Institute, and as a research associate in the Department of
as the significance and impacts of the results. Bonus points was awarded for finding additional relevant datasets and demonstrating the benefits of these datasets in solving or understanding the research questions. (b) Experience with (c) Interests in interdisciplinary (a) Understanding of CI. interdisciplinary work. work.Figure 1: Pre-workshop survey: ratings on understanding of CI, experience with interdisciplinarywork, and interests in interdisciplinary work before the workshop. (a) Overall experience. (b) Content. (c) Teamwork experience.Figure 2: Post-workshop survey: rating on overall
] B. E. Farley, “The medical device industry and the biomedical engineer: current status and future trends,” IEEE Eng. Med. Biol. Mag., vol. 8, no. 3, pp. 27–32, Sep. 1989, doi: 10.1109/51.35575.[5] R. W. Lent, S. D. Brown, and G. Hackett, “Toward a Unifying Social Cognitive Theory of Career and Academic Interest, Choice, and Performance,” Journal of Vocational Behavior, vol. 45, no. 1, pp. 79–122, Aug. 1994, doi: 10.1006/jvbe.1994.1027.[6] N. A. Fouad et al., “Barriers and Supports for Continuing in Mathematics and Science: Gender and Educational Level Differences,” Journal of Vocational Behavior, vol. 77, no. 3, pp. 361–373, Dec. 2010, doi: 10.1016/j.jvb.2010.06.004.[7] R. W. Lent, S. D. Brown, and G. Hackett, “Social
piloted systems or platforms where a human is a merepassenger, rather than a pilot.Figure 4: Comparison of a typical electric motor for a drone (A) and a standard layout electricmotor (B)The Bachelor of Science in Uncrewed & Autonomous Systems uses Computer Aided Design(CAD) in courses, such as UNSY 318 - Uncrewed Aircraft Systems Robotics to introducecomponents of aerial robotic platforms and the associated electric propulsion. Figure 4 shows thedifference between typical electric drone motor and a standard electric motor used in industrypurposes in CAD models.The design principles used for larger and more complex drones merge the foundational conceptsof traditional aeronautical engineering with cutting-edge, digitally driven robotics
, “Me with math classes, I'd say I've been pretty good with math.I've passed all of them for so far.” Kyra from Alpha described, “Math class? So being here sincesixth grade, I’ve always been good at math, and I’ve always been able to get an A+ or just an A.”Kyra elaborated on strategies to succeed: “So in class really, if you just pay attention carefullyand listen and get all the notes done, you’re good. So, it’s not really that difficult or stressful forme.” Ailani from Beta responded, “I always had a B or a A. I’ve never had a bad grade.” Whenpushed to describe what she finds enjoyable about science, she vaguely responded, “I don’tknow. I find a lot of things enjoyable.” Students who performed well in STEM courses definedtheir experience
future work on this project will be to better understand reasons for the lownumbers of completed scholarship applications and employing strategies to increase the numberof completed applications to maximize the cohort awards. Work will continue withimplementation of the program areas, especially those intended for students further along in theprogram such as peer mentoring, collaborative project involvement, and internships.References[1] I. H. Jaafar, M. J. Jensen, S. Tolman, A. C. Bordelon, B. J. Willardson, and J. P. Raje, “Enhancing STEM Degree Completion: A Framework for the Civil and Mechanical Engineering (CAM) Scholarship Project,” presented at the 2024 ASEE Annual Conference & Exposition, Jun. 2024. Accessed: Jan. 14, 2025
-awareness, social skills, self-regulation, empathy, andmotivation is seen as art and lived out through practice [3], [5], [13]. The ability for aspiringproject engineers to hone EI, project management competencies, and understanding teamdevelopment can better equip them for the workplace and meet technical and interpersonal skillexpectations of employers.References[1] De Campos, D. B., de Resende, L. M., & Fagundes, A. “The importance of soft skills for the engineering,” Creative Education, 11, pp.1504-1520. 2020. https://doi.org.10.4236/ce.2020.118109[2] Kastberg, E., Buchko, A., & Buchko, K. “Developing emotional intelligence: The role of higher education,” Journal of Organizational Psychology 20(3), 2020. pp.64-72. https
, benefits, and challenges. International journal of exercise science, 1(3), p.91.[4] Linn, M.C., Palmer, E., Baranger, A., Gerard, E. and Stone, E., 2015. Undergraduate research experiences: Impacts and opportunities. Science, 347(6222), p.1261757.[5] Adedokun, O.A., Zhang, D., Parker, L.C., Bessenbacher, A., Childress, A. and Burgess, W.D., 2012. Understanding how undergraduate research experiences influence student aspirations for research careers and graduate education. Journal of College Science Teaching, 42(1), p.82.[6] Gilmore, J., Vieyra, M., Timmerman, B., Feldon, D. and Maher, M., 2015. The relationship between undergraduate research participation and subsequent research performance of early career STEM graduate students
tomorrow’s ethical innovators and storytellers.9. References1. R. Taleyarkhan, M. Behbehani, J. M. Santiago, M. Diaz, and S. Hummel, “Work in Progress: Impact onStudents’ Dropout Rates of Introducing a First-Year Hands-On Civil Engineering Course,” Proceedings ofthe ASEE Annual Conference & Exposition, 2013.Available: https://peer.asee.org/work-in-progress-impact-on-students-dropout-rates-of-introducing-a-first-year-hands-on-civil-engineering-course.pdf2. B. M. Olds, R. L. Miller, and R. M. Felder, “Engineering Attrition: Student Characteristics andEducational Initiatives,” Proceedings of the ASEE Annual Conference & Exposition, 2004.Available: https://peer.asee.org/engineering-attrition-student-characteristics-and-educational
fields: Towards a system and change perspective,”enhance learning experiences, it should complement—not re- ArXiv.org, 2024. [Online]. Available: https://arxiv.org/abs/2410.12795 [7] D. H. Jonassen, “Everyday problem solving in engineering: Lessonsplace—critical thinking, creativity, and interpersonal skills. for engineering educators,” Journal of Engineering Education, vol. 95,Overdependence on AI-generated solutions may hinder stu- no. 2, pp. 139–151, 2006.dents’ ability to develop independent problem-solving and [8] L. Liu, A. Ali, and B. Ojeme, “A framework for diversifying the artificial
positive emotional responses such as hope and empowerment. Hope is essential inenabling individuals to recognize both their capabilities and the opportunities available to themin a way that can help them engage in behavioral change (e.g. COM-B model [24]). Cultivatingpositive affective states can enhance creativity and resilience in addressing sustainabilitychallenges [15],[25]. Positive emotions are also more likely to entice students to approach a topicand engage [26].Intentionally considering emotions in the design of sustainability education in engineeringpresents an opportunity to foster a more holistic and effective learning environment. Byacknowledging and leveraging the emotional dimensions of learning, educators can bettersupport students
(Table 1).Table 1: Students by gender and disciplineDegree Female Male Grand TotalAAS AIM 1 6 7AS Engineering 6 6 12Grand Total 7 12 19The 19 students' dashboards totaled 36 semesters spread over Fall 2023, Spring 2024, and Fall2024, and 144 months are included. The dashboards were filled at 84%, 121 months had data,but only 42% (15/36) of the semesters were filled for the 4 months. Most of the time, when notall the months were filled, the data for the last semester was missing. During that same time,the students completed 150 of about 155 courses with an A or a B grade and withdrew (with aW) from 5 of the 155 courses
: ASEE, Jun. 2011. doi: 10.18260/1-2-- 17817.[7] D. Northrup and S. Northrup, “Multidisciplinary Team Assessment,” in 2007 Annual Conference & Exposition, Honolulu, HI: ASEE, Jun. 2007. doi: 10.18260/1-2--2319.[8] P. H. Stiebitz, E. C. Hensel, and J. R. Mozrall, “Multidisciplinary Engineering Senior Design at RIT,” in 2004 Annual Conference, Salt Lake City, UT: ASEE, Jun. 2004. doi: 10.18260/1-2--13856.[9] B. S. Goda, A. H. Sayles, and D. C. Gray, “One Approach to Multidisciplinary Senior Design Projects,” in Technology-Based Re-Engineering Engineering Education Proceedings of Frontiers in Education FIE’96 26th Annual Conference, Salt Lake City, UT: IEEE, Nov. 1996. doi: 10.1109/FIE
Journal of Clinical and Translational Science, 1–25, 2025. doi:10.1017/cts.2025.2[8] K. Morozumi, T. Patel, P. Kerr, M. B. Cassely, T. Carey, J. Buse, G. Dave, “Evaluating a CTSA-funded pilot grant program.” Journal of Clinical and Translational Science, 5(1), e63, 2021. doi:10.1017/cts.2020.557[9] J. D. Nelson, M. E. Dunn, and Y. A. Levites Strekalova, “Pilot implementation of a co- mentoring circles program for the clinical research professionals: Evidence for formative evaluation and logic model,” in Journal of Clinical and Translational Science, 8(1), e21, 2024. doi:10.1017/cts.2023.712[10] Overton. https://www.overton.io/[11] Dimensions. https://www.dimensions.ai/[12] A. Eggleston, and C. Kantor. “Pace and Pitch: Predictive
Paper ID #49488West Virginia’s Power Systems Industry: History, Directions, and FutureAlexa July Hoffman, Marshall UniversityDr. Trevor Joseph Bihl, Marshall University ©American Society for Engineering Education, 2025 West Virginia’s Power Systems Industry: History, Directions, and FutureAbstractWest Virginia (WV) is well known across the United States for its coal mining industry.However, while coal has been the state’s largest source of power for decades, a shift to shuttingdown coal-fired power plants is resulting in WV exploring new power generation methods. Asthe interest in renewable energy increases, the state is
too early to discernif there will be a complete paradigm shift, but there is certainly a need for greater exploration.References[1] N. Chomsky, I. Roberts, and J. Watumull. “The False Promise of ChatGPT.” The New York Times. March 8,2023. [Online][2] E. Mollick. Co-Intelligence: Living and Working with AI. Portfolio/Penguin, 2024.[3] K. A. Neeley and H. C. Leugenbiehl. “Beyond Inevitability: Emphasizing the Role of Intention and Ethical Responsibility in Engineering Design,” Philosophy and Design. Springer 2008.[4] K. Shelton and D. Lanier. The Promises and Perils of AI in Education: Ethics and Equity Have Entered the Chat. Lanier Learning, 2024.[5] B. McMurtrie. “Cheating Has Become Normal: Faculty members are
Critical Thinking, Digital Literacy, and [1]. It requires clarity and logical reasoning [3]. Cybersecurity Awareness Amid a rapidly changing digital environment, individuals B. Historical Foundations of Critical Thinkingmust function effectively, make informed decisions, and Foundations of critical thinking trace back to Socraticdefend themselves against emerging threats. Blurred work-life questioning, Platonic dialectics, Aristotelian logic, and Johnboundaries, constant digital engagement, and the psychological Dewey’s advocacy for inquiry-based learning, which hestrain of social media contribute to growing mental fatigue. viewed as essential to fostering informed
approach. In the discussion, webuild recommendations for collaborative professional development of faculty and discuss nextsteps.We draw on the literature of professional learning and instructor development, which purportsthe following tenets of effective practice: a) professional development should continue over timeto create change [3], b) professional development should build on the lived experiences offaculty learners [4], and c) professional development should be reflective in nature [5] . Ourcurriculum design features a spiral introduction of materials [6] described in the literature asreviewing concepts over time with greater depth at each iteration [7]. Our effort of embeddingsocial responsibility in the computing curriculum draws on other
engineering students in the educational process.” Proceedings of American Society for Engineering Education, 2008.[9] Chapín, H. G., Wiggins, B. L., and Martin-Morris, L.E. “Undergraduate science learners show comparable outcomes whether taught by undergraduate or graduate teaching assistants.” J. of Coll. Sci. Teaching, vol. 44, no. 2, pp. 90-99, 2014. https://www.jstor.org/stable/43631962[10] Washer, P. “Designing a system for observation of teaching.” Quality Assurance in Teaching, vol. 14, no. 3, pp. 243-250, 2006. DOI 10.1108/09684880610678559[11] McDermott, P. and Simpson, L. Forward in Applied Improvisation: Leading, Collaborating, and Creating Beyond the Theatre. Eds. Dudeck, T. R. &
quantitative results to explain how a STEM degree promotes the social mobilityof a selected group of students. In this explanatory sequential follow-up, the plan is to exploresocial mobility with Hispanic students. The independent variable was the student's undergraduateor graduate research participation. On the other hand, the dependent variables were: a) monthlyearnings, b) medical insurance, c) active participation in research, d) self-disclosed socioeconomicstatus (SES) at the beginning of their higher education journey, and e) self-disclosed SES at themoment of the study.Quantitative data for study 2 was collected via student transcripts of the participants (N=68) tolook for overall earned credits, transfer credits from other institutions, and