designing the spaces, facades and circulation corridors. Chat GPT to verifycompliance with standards in design.2. Assignment of roles: Students will be divided into groups of 3 students and will beassigned the respective roles for each stage of the project.Tesfit: Student A will be in charge of designing the green spaces while student Bmakes the geometry of the building and student C the access roads.Hypar: Student A will be in charge of locating the terrain and the design of the space,while student B will be in charge of the façade design and student C will design thecirculation corridors and the placement of the elevator.At the same time, all participants will be in charge of verifying that the designcomplies with construction standards using
team who debriefed as a group before integrating and interpreting the resultingdata. (a) Mathematical formulation for the centroid. (b) Applied formulation from course notes. Figure 2: Formulations for calculating the centroid presented to study participants.In addition to the observed student difficulties with centroids, observations from priorimplementations of this work [10-12] also noted the potential importance of reflective thinkingin transferring knowledge and solving the statics problem (Fig.1). Anecdotally, expert problemsolvers (faculty participants) were observed to be significantly more metacognitive and reflectivethan novice problem solvers (students) and the only student who correctly solved the problemunaided was very
skills. As we introduce targeted debugging skills training in the next research phase,we will monitor trends across gender and other demographic categories to ensure the programenhances debugging skills for all students.AcknowledgementThis work was supported by the National Science Foundation Award EES-2321255. Anyopinions, findings, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References[1] B. Bailey, “Debug: The schedule killer,” Jun. 2021. [Online]. Available: https://semiengineering.com/debug-the-schedule-killer/[2] A. Mutschler, “Debug tops verification tasks,” Dec. 2018. [Online]. Available: https
, but the front strap is noticeably missing on the shown concept,Fig. 4. AI-generated concepts for a body sensor sleeve, for 2-year-olds. “Fig. 7”.B. CPR forearm sleeve. Device to be worn in the arm and in part of the hand, to beused during CPR compressions on adults. The built-inaccelerometer helps users count compressions and maintaintempo, and the LEDs within the bracelet change colors to alertthe user to correct tempo and when to switch to breaths, “Fig.5”. A variety of AI tools were used to unsuccessfully obtain acredible solution when the hands are interlaced for CPRcompressions. Fig. 7. Horse sensor device, showing an original sketch, consecutive sketches
Foundation, Apr. 2004. Google-Books-ID: lQWGAwAAQBAJ.[5] S. Blake-Beard, M. L. Bayne, F. J. Crosby, and C. B. Muller, “Matching by race and gender in mentoring relationships: Keeping our eyes on the prize,” Journal of Social Issues, vol. 67, no. 3, pp. 622–643, 2011. Place: United Kingdom Publisher: Wiley-Blackwell Publishing Ltd.[6] B. Bozeman and M. K. Feeney, “Mentor Matching: A “Goodness of Fit” Model,” Administra- tion & Society, vol. 40, pp. 465–482, Sept. 2008. Publisher: SAGE Publications Inc.[7] R. Ortiz-Walters and L. L. Gilson, “Mentoring in academia: An examination of the experiences of prot´eg´es of color,” Journal of Vocational Behavior, vol. 67, pp. 459–475, Dec. 2005.[8] V. Cornelius, L. Wood, and J. Lai
integration matrix," Principal Leadership, vol. 12, no. 2, pp. 69-71, 2011.[23] A. Almalki, "Integration of Technology among Saudi EFL Teachers," English Language Teaching, vol. 13, no. 8, pp. 160-167, 2020.[24] Y.-H. Chen and S.-J. Jang, "Interrelationship between stages of concern and technological, pedagogical, and content knowledge: A study on Taiwanese senior high school in-service teachers," Computers in human behavior, vol. 32, pp. 79-91, 2014.[25] S. Yalcinalp and Ü. Avci, "Creativity and emerging digital educational technologies: A systematic review," Turkish Online Journal of Educational Technology-TOJET, vol. 18, no. 3, pp. 25-45, 2019.[26] G. Whittleston, B. Haynes, and A. Mardan, "Three
called “RGB LED with Potentiometers”.The activity had the scout participants build and test a circuit with a RGB LED, one 220 Ω resistor,and a potentiometer. T h e n they connected a power supply to power this circuit. The scout wouldthen rotate the screw of the pot to see if the LED brightness changed. Depending on what pin thepot was attached to (R, G or B), the LED would have that color. As the wiper ranged from 0 V to5 V, the LED should go from dark to bright.Figure 5 shows the circuit connection.Manufacturing Engineering WorkshopIn the manufacturing workshop, participants have the opportunity to operate a lathe to createdifferent parts, such as a bowling pin or a chess piece pawn. At the start of the workshop,participants were given a brief
needed as student transition from undergraduate to careers can alsobroaden the impact institutions have. Through these measures, institutions would establish solidstructures of mentoring that offer academic, emotional, and career support to learners. Stabilizingmentoring structures in engineering education would improve retention and success of learners.References[1] W. B. Johnson and K. A. Griffin, On being a mentor: a guide for higher education faculty, 3rd edition. Abingdon, Oxon ; New York, NY: Routledge, 2024.[2] G. Crisp and I. Cruz, “Mentoring College Students: A Critical Review of the Literature Between 1990 and 2007,” Res High Educ, vol. 50, no. 6, pp. 525–545, Sep. 2009, doi: 10.1007/s11162-009-9130-2.[3] D. L. DuBois and N
the small sample size. The heatmap analysis further Fig. 10. Top 10 Country of Residence for Participants confirmed that there was almost no correlation between these variables and ASD, highlighting the challenges of drawingdefinitive conclusions from a dataset that is not large enough on Neural Systems and Rehabilitation Engineering, vol. 30, pp. 2003-2011, 2022, Available: https://doi.org/10.1109/TNSRE.2022.3192431.to yield robust results. [7] B. Noris, M. Barker, J. Nadel, F. Hentsch, F
) lack of representation and role models, (b) service and diversity workload, (c) lack of mentorship and sponsorship mechanisms, (d) work life imbalance, (e) poor or superficial institutional accountability to DEI.• Our participant here speaks of a hidden curriculum that disadvantages some group’s success in navigating STEM and academia. This falls under the subcategory of lack of mentorship and sponsorship mechanisms.• We can also see here that our participant exemplifies problem solving skills related to EM and other relevant skills to navigate this issue.• Additionally, please note the mention of mentors and champions, these individuals were commonly reported as critical to the success of our participants, including serving as gateway
and inclusion: Women and minorities in engineering,” in Cambridge Handbook of Engineering Education Research, 1st ed., A. Johri and B. M. Olds, Eds., Cambridge University Press, 2014, pp. 335–356. doi: 10.1017/CBO9781139013451.022.[14] B. Wentz, P. T. Jaeger, and J. Lazar, “Retrofitting accessibility: The legal inequality of after-the-fact online access for persons with disabilities in the United States,” First Monday, 2011, doi: 10.5210/fm.v16i11.3666.[15] G. D. Kuh and S. Hu, “The Effects of Student-Faculty Interaction In the 1990s,” Rev. High. Educ., vol. 24, no. 3, pp. 309–332, 2001, doi: 10.1353/rhe.2001.0005.[16] A. N. Link, C. A. Swann, and B. Bozeman, “A time allocation study of university faculty,” Econ
very high satisfaction with them. Dubbed “Mechref”, for“Mechanics reference pages”, this new initiative brought OER to the remaining two courses, aswell as a platform for future course additions. This paper aims to determine (1) the efficacy ofonline reference pages, and (2) whether they improve outcomes in students’ perception of the3Cs. (a) Statics (b) Solid MechanicsFigure 1: Survey responses to the question “I make use of the recommended textbook”, Fall 2024The online reference pagesExisting mechanics OER [5], [6] act as a free alternative to paid commercial textbooks,alleviating the financial burden imposed upon students. However, the reference pages formatstrikes a middle-ground between a
conclusions.Reference[1] Martin, M.J., S.J. Diem, D.M.A. Karwat, E.M. Krieger, C.C. Rittschof, B. Bayon, M.Aghazadeh, O. Asensio, T.J. Zeilkova, and M. Garcia-Cazarin, The climate is changing.Engineering education needs to change as well. Journal of Engineering Education, 111:740-746,2022.[2] Milovanovic, J., T. Shealy, and A. Godwin, Senior engineering students in the USA carrymisconceptions about climate change: Implications for engineering education. Journal ofCleaner Production, 345, 131129, 2022.[3] Sinatra, G.M., and P.R. Pintrich (Eds.), International Conceptual Change. Lawrence Erlbaum,Mahwah, NJ, 2003.[4] P. Molthan-Hill, L. Blaj-Ward, M. F. Mbah, and T. S. Ledley, “Climate Change Education atUniversities: Relevance and Strategies for Every Discipline
% 20% 0% 0% 0-2 3-5 6-8 9 - 10 0-2 3-5 6-8 9 - 10 Rating of Severity of Team Conflict Rating of Severity of Team Conflict Worst Point Report Submission Time Worst Point Report Submission Time (a) (b) Figure 1. Severity of team conflict reported on a scale of 0 – trivial concern to 10 – major conflict, at its worst and at the time the final project report was submitted, based on
encourage wider participation.The Customer/Career Discovery Bootcamp is proving to be a model for modern graduateeducation, addressing the evolving professional needs of students. By continuing to refine andexpand the program, it has the potential to make an even greater impact, empowering students tonavigate their career journeys and make meaningful contributions to society.Spring 2024: Student cohort and teaching team (UWM) Spring 2024: Student Cohort (MTU)References:[1] J. Grandy, "SCIENCE AND ENGINEERING GRADUATES: CAREER ADVANCEMENT AND CAREER CHANGE," ETS Research Report Series, vol. 1998, no. 2, pp. i-49, 1998, doi: https://doi.org/10.1002/j.2333-8504.1998.tb01780.x.[2] G. P. B. Catherine, E. B. Sara, S. L. Jeremi, A
wassubjective and based on whether or not the professors liked them. Others felt that grades mayhave had a reason behind them, but that the reason was unclear to them, and no feedback wasprovided. Participants shared: “I hope I have an ‘A’ or I hope I have a ‘B.’ I’d never know. I’m just hoping that they like my things to get the good grade. Because it’s all biased… My worst grade that I got was a ‘C’ with [Faculty member], and I just assumed that it was because he hated everything that we did and none of it was good. I had no idea because he didn't like any of our stuff that we were doing.” – Natalie “And that’s one of my biggest problems with studio. It’s subjective, it is very subjective.” – Kelly “I
of STEM Culture and CampusClimate American Council on Education,” 2019. Available: https://www.acenet.edu/Documents/Achieving-Diversity-Intersection-of-STEM-Culture-and-Campus-Climate.pdf[2] R. M. Hall and B. R. Sandler, The Chilly Classroom Climate: A Chilly One For Women? Association ofAmerican Colleges, Washington, DC. Project on the Status and Education of Women., 1982.[3] J. Hart and J. Fellabaum, “Analyzing campus climate studies: Seeking to define and understand.,” Journalof Diversity in Higher Education, vol. 1, no. 4, pp. 222–234, 2008, doi: https://doi.org/10.1037/a0013627.[4] American Society For Engineering Education, “Profiles of Engineering & Engineering Technology – IRA| ASEE,” ira.asee.org, 2024. https://ira.asee.org
wind tunnel shown in Fig. 1 (b), which was designed and built by senior students as part ofa capstone design class. Finally, a report is required to summarize the work done to design the blades,the calculations, and the results. The wind tunnel gives digital data for the power generated for studentsto postprocess. Bragging rights are given to teams with the blades that generate the highest power.Sample blades are shown in Fig. 1 (c to f).Students cut their own blades and get familiar with operating laser cutters during this activity. Theysee that accurate cuts can be made in less than a minute. They learn to think about the assembly, whichis required after cutting the blades. This includes attaching the blades to dowels and deciding on
actionable guidance. A feedback loop will be incorporated to refine detection capabilities overtime, adapting to evolving phishing strategies. Moreover, collaboration with local organizations andcommunities will help raise awareness about phishing risks and promote the chatbot as a valuable tool for 1digital security. This paper presents several key contributions to the field of phishing detection in messagingapplications:(a). Tailored Optimization for WhatsApp: By focusing exclusively on WhatsApp, this solution ensures specialized phishing detection, offering a seamless and consistent user experience optimized for one of the most widely used messaging platforms.(b). Immediate Threat
can best support graduate students remains a considerableissue.AcknowledgmentsWe acknowledge the National Science Foundation (NSF) for funding this project(#EEC2404797), and we express our gratitude to the graduate students who participated in thestudy.References[1] B. Bahnson Matthew and C. Berdanier, “Current trends in attrition considerations of engineering Master’s and Ph.D. students at research- intensive universities in the United States,” Int. J. Eng. Educ., vol. 39, no. 1, pp. 14–29, 2023.[2] C. R. Bair and J. G. Haworth, “Doctoral Student Attrition and Persistence: A Meta-Synthesis of Research. ASHE Annual Meeting Paper,” Nov. 1999. Accessed: Dec. 06, 2024. [Online]. Available: https://eric.ed.gov/?id=ED437008[3] S
. Overarching control system 3 (b) Side-view of a built Pinbox 3000 with two blue marbles (a) Top-view of a built Pinbox 3000 with two blue marbles Figure 1: View of the Pinbox 3000 after assembly.Students are organized into teams of four, with each student responsible for one of the abovesubsystems. These systems need to be integrated to complete the project.The launcher and flipper systems are the most challenging design components of the project. Thecardboard construction of the Pinbox 3000 meant that traditional, powerful solenoids used in com-mercial pinball machines
inelectrical engineering through altruism at the middle school level,” in 2013 IEEE GlobalHumanitarian Technology Conference (GHTC), 2013, pp. 108–111.[6] D. McGreevy, S. Hoops, and B. Morris, "Tending to the K-12 Talent Pipeline," inPES T&D 2012, 2012, pp. 1-2.[7] J. Naukkarinen, K. Korpinen, and P. Silventoinen, “Upper secondary schoolstudents’ gendered interests in electronics and electrical engineering,” Research inScience & Technological Education, vol. 41, pp. 1412–1432, 2023.[8] M. Estrada, A. Woodcock, P. R. Hernandez, and P. W. Schultz, "Toward a Modelof Social Influence that Explains Minority Student Integration into the ScientificCommunity," Journal of Educational Psychology, vol. 103, no. 1, pp. 206-222, Feb.2011, doi
itsets and hardens over time. This dual carbon-capturing effect—from both hemp and lime—makes hempcrete an effective long-Fig. 2. Cross-section of a cannabis stalk, showing its hollow core and inner Fig. 5. Pile of lime binderfibers (hemp hurd) on top, with the hemp stalk at the bottom. Approximately 4inches in length. B. Compositions of Hempcrete Samples This study examined hempcrete mixtures with a consistent hemp hurd amount while varying the binder composition and water
for systems thinking in undergraduate engineering education,” Int. J. Eng. Pedagogy, vol. 12, no. 3, 2022. [Online]. Available: https://doi.org/10.3991/ijep.v12i3.25035[18] E. B. Dano, “Introducing systems thinking techniques into an undergraduate engineering education,” INCOSE Int. Symp., vol. 32, no. 1, pp. 199–209, 2022. [Online]. Available: https://doi.org/10.1002/iis2.12925[19] M. Frank and D. Elata, “Developing the capacity for engineering systems thinking (CEST) in a project-based learning environment,” Syst. Eng., vol. 8, no. 2, pp. 187–195, 2005.[20] J. D. Sterman, Business Dynamics: Systems Thinking and Modeling for a Complex World. (Working paper), 2000.[21] J. W. Thomas, “A review of research on project-based
Paper ID #45824Generative AI in Engineering: Tool or Trouble?Dr. Claire Lynne McCullough PE, High Point University Dr. McCullough received her bachelor’s, master’s, and Ph.D. degrees in electrical engineering from Vanderbilt, Georgia Institute of Technology and the University of Tennessee, respectively, and is a registered professional engineer in the state of Alabama. She is currently Professor and Founding Chair of Electrical and Computer Engineering at High Point University, and teaches courses in such areas as Engineering Ethics, Controls, and Engineering Design. Dr. McCullough has over 30 years’ experience in
equipment costs ($400,000–$500,000) and annualmaintenance ($25,000–$50,000) [22], this technology was unavailable in Vietnam and Paraguay,where lower-cost care relies on non-profits. Students engaged with VR experiences, lectures, andinterviews, then completed a survey (described below) assessing their ability to recognizedifferences in values, regulations, and treatment approaches across locations. Figure 2: VR clinical immersion environments of a standard cataract surgery performed in A) Paraguay, B) Vietnam, and C) the United States.Student Surveys and AssessmentsTo evaluate the feasibility and utility of the virtual clinical immersion platform for unmet clinicalneeds finding and understanding global healthcare
% respectively), and more white students enrolled in all three semesters (52%, 48%, and 50%respectively). Most students were 21 years of age (50%, 49%, and 48% respectively), whichmakes sense as this course is for advanced standing students; overall, 62% of the studentsenrolled were classified as seniors. Students’ residency changed over the three semesters, with anincrease in out-of-state students, from 39% to 50%. In all three semesters, 20% or less of thestudents were identified as first-generation college students, and only one student during thosethree semesters was identified as a veteran. The starting cumulative GPA increased from 3.12 in2021, 3.13 in 2022, to 3.32 in 2023. Overall, 35% of the students received an A or A-, 30%received a B+, B, or
, Dr. Quan has a keen interest in employing active learning strategies and inductive teaching methodologies. His educational mission centers around enhancing students’ higher-order thinking skills and self-learning abilities.Jing Wang ©American Society for Engineering Education, 2025Understanding Epistemic Beliefs of Chinese Students to Bridge the CulturalGaps in Teaching and LearningXinfeng Quan1, a), Jing Wang2, b), Xuan Li3, c), Xi He3, d), Chenhui Zhang4, e)1 Department of Chemistry, School of Science, Westlake University, Hangzhou, China2 Department of Physics, School of Science, Westlake University, Hangzhou, China3 School of Physics, Hangzhou Normal University, Hangzhou, China4 Independent
resources needed when requestingfunding. It is recommended for librarians involved in outreach work to consider the followingbest practices for a successful event. 1. Keep notes regarding: a. Planning timelines. b. Partner collaboration messaging. c. Liaison departmental email messaging. d. Internal library messaging. 2. Establish roles during the event itself a. Consider how event attendance is collected. Recommendations include the use of a sign-in sheet to gather additional information or a clicker for collecting the number of attendees. b. Discuss who is coordinating with partners during the event for set-up and questions. c. Assign someone to
during fine-tuning, so GPT2-medium and Flan-T5-base balance efficiency and performance the best among all of themodels that were further tested.Figure 3: Confusion matrices illustrating the (1)T5-base, (2)Flan-T5-base, (3)GPT2-medium model’s performanceunder (a) zero-shot learning and (b) fine-tuning. Figure 4: Fine-tuning performance comparison of the LLM in terms of (a) MCC and (b) F1 score.5 DiscussionFrom the confusion matrices, as shown in Figure 3, it becomes clear that GPT2-medium, the best model, is accurate in identifyingboth true positives and true negatives, which are the cases that the model correctly labels. This improvement is made obvious bythe fine-tuning confusion matrix. During the zero-shot GPT2-medium experiments