Python (CS 101-orange) or R (RU-green) are introduced. RU is applicable to 3 rd-year courses only. Theprerequisite courses are shown in the vertical axis. (Recent semesters, F: Fall, S: Spring). Almostall students in the 3rd year courses MB and GE had taken at least one of the coding prerequisites.Figure 5. Computational tools students have used before taking one of the listed courses. In thedepicted semesters students in 3rd year courses have already taken one or more courses where Ror Python are required (Recent semesters, F: Fall, S: Spring). a) ‘What in the best time to start learning coding?’b) ‘Computational tools are important for CEE’.c) ‘Computational tools are important to help you understand better CEE course materialsthrough
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
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
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
period TELPhE concerned itself with the second objective, that is to develop aresearch base to support efforts to improve technological literacy in the United States. Hadboth sides been aware of the Bruner’s model of the spiral curriculum a fruitful collaborationmight have arisen between the two divisions [37]. Unfortunately work in the English systemof public examinations which showed that concepts were open to different levels ofunderstanding, in this case the concept of ‘system’, was not widely publicised in England[38].In 2011 a significant paper by D. B. Moore who was in the College of Education at OhioUniversity went by unnoticed, not that he made any reference to the work of either of theASEE divisions! In it he proposed that “technology
science, technology, engineering and maths,” in Social inclusion and higher education, Bristol Chicago: Policy Press, 2012, pp. 65–82.[6] B. Geisinger and D. Raman, “Why they leave: understanding student attrition from engineering majors,” International Journal of Engineering Education, vol. 29, no. 4, pp. 914–925, 2013.[7] Z. Hazari, G. Sonnert, P. M. Sadler, and M.-C. Shanahan, “Connecting high school physics experiences, outcome expectations, physics identity, and physics career choice: A gender study,” Journal of Research in Science Teaching, vol. 47, no. 8, pp. 978–1003, 2010, doi: 10.1002/tea.20363.[8] H. B. Carlone and A. Johnson, “Understanding the science experiences of successful women of color: Science identity as
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
wereintentionally selected from different grade categories (1 with an "F", 1 with a "D", 2 with "C", 1with a "B", and 2 with "A"). These interviews were conducted via ZOOM by an instructor withextensive educational research experience who had no authority over any ODE student. Only thedata consented to by students are used in this paper.The end-of-semester survey was conducted during the last week of the semester using Qualtrics.It included five sets of Likert scale questions and several open-ended questions designed toexplore the four research questions. Below is an outline of how these five sets correspond to thefour research questions mentioned in the introduction section. Research Questions Survey Likert
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
, we must look atthe past," a one-hour tech elective course in a General Engineering program was designed togive students the opportunity to examine historical cases and learn modern tools, equippingthem for the workplace in the AI era.This paper presents a dual-pronged approach used to achieve these goals: (A) studying historicaltechnology and business cases, and (B) learning how to use powerful AI tools such as ChatGPT. (A) Learning from History: In small, randomly assigned groups, students were asked to watch episodes of the documentary series The Men Who Built America and read selected articles from the book Inspiring Technology: 34 Breakthroughs. They then presented their findings to the entire class and engaged in Q
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
% 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
electrical power and energyproduction using a data acquisition system). A topical outline of the course is provided below.Topical Outline I. Solar PV System Applications A. Solar PV Electrical Characteristics B. Geographic Considerations for PV C. Solar Site Assessment D. Solar Energy Production Estimates E. Solar PV Workstation Labs F. Solar Passive Home Construction and Testing II. Wind Power System Applications A. Wind Turbine Components and Operations B. Geographic Considerations for Wind Energy C. Wind Site Assessment D. Wind Energy Production Estimates E. Airfoil Design and Construction F. Wind Tunnel Testing of Model
gradual exposure to scientific literaturecontributes to the development of critical skills necessary for analyzing, evaluating, and applyinginformation [4,5].The survey then asked students to evaluate how the project contributed to their learning anddevelopment. The questions were:• Contribution A: “In your opinion, did the semester project contribute to a better understandingof important physical theories (logical and mathematical structure, experimental support, physicalphenomena described)?”;• Contribution B: “In your opinion, did the semester project allow you to develop your ability toindependently perform experiments, and critically evaluate experimental data?”;• Contribution C: “In your opinion, did the semester project allow you to
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
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
content analysis identified four key themes:(a) enhancing academic engagement via CRP practices for international students, (b) shapinginternational students' perceptions, (c) counter-narratives against deficit perspectives, and (d) theimportance of faculty training and institutional support. The findings reveal that CRP effectivelyimproves international students' educational experiences (e.g., enhance problem-solving,teamwork, and critical thinking skills in engineering courses), offers a counter-narrative to deficitviews of international students in engineering ecosystems, and fosters inclusivity in engineeringclassrooms. To build a more inclusive and equitable learning environment, engineering educatorsand institutions must prioritize CRP in
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
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
% 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
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
documents and student identity,” in 2018 ASEE Annual Conference & Exposition Proceedings, Salt Lake City, Utah: ASEE Conferences, Jun. 2018, p. 30343. doi: 10.18260/1-2--30343.[9] A. Godwin and G. Potvin, “Fostering female belongingness in engineering through the lens of critical engineering agency,” International Journal of Engineering Education, vol. 31, no. 4, pp. 938–952, 2015.[10] H. B. Carlone and A. Johnson, “Understanding the science experiences of successful women of color: Science identity as an analytic lens,” J. Res. Sci. Teach., vol. 44, no. 8, pp. 1187– 1218, Oct. 2007, doi: 10.1002/tea.20237.[11] A. Godwin, “The development of a measure of engineering identity,” in 2016 ASEE Annual
, 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
.[2] L. G. McDermott and D. P. Oleynik, "Neuroqueer Literacies in a Physics Context: A Discussion on Changing the Physics Classroom Using a Neuroqueer Literacy Framework," 2022.[3] C. Syharat, A. Hain, A. Zaghi, R. Gabriel and C. Berdanier, "Experiences of neurodivergent students in graduate STEM programs," Frontiers in Psychology, vol. 14, 2023.[4] E. Soto, D. Orantes, N. Russo and K. Antshel, "Autism and sexual and gender minority identity in college students: Examination of self-reported rates, functional outcomes, and treatment engagement," Autism, vol. 28, no. 6, pp. 1519-1539, 2024.[5] B. E. Hughes, ""Managing by not managing": How gay engineering students manage sexual orientation identity," Journal of College Student
, funding institutions, and associations.Prof. Camila Zapata-Casabon, Universidad Andres Bello Master in Marketing and Market Research from the University of Barcelona, Spain. Industrial Civil Engineer from the Universidad del B´ıo-B´ıo. She has three diplomas in the areas of coaching, digital marketing and equality and empowerment of women. Her professional experience is linked to higher education as a project engineer and university management in the public and private area. Teacher at different universities in matters of entrepreneurship, business plans and marketing. She currently works as a teacher and academic secretary at the Faculty of Engineering of the Andr´es Bello University. The areas of research interest
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
-engineering-education[4] E. E. Miskioğlu et al., “Situating intuition in engineering practice,” J. Eng. Educ., vol. 112, no. 2, pp. 418–444, 2023, doi: 10.1002/jee.20521.[5] S. j. Schmidt, M. s. Parmer, and D. m. Bohn, “Using Quality Circles to Enhance Student Involvement and Course Quality in a Large Undergraduate Food Science and Human Nutrition Course,” J. Food Sci. Educ., vol. 4, no. 1, pp. 2–9, 2005, doi: 10.1111/j.1541- 4329.2005.tb00049.x.[6] Vinod Nambiar, Sabitha Panambur, B S Mohan, and Thomas Arthur Heming, “Implementation of Students’ Quality Circle in Medical Microbiology Course,” Int. J. Sci. Study, vol. 2, no. 12, pp. 84–88, Mar. 2015, doi: 10.17354/ijss/2015/111.[7] F. Nafa, L. Sreeramareddy, S. Mallapuram, and