thenhow they interact over time to create distinctive developmental trajectories.Case 1: Student 1 - The Growth Alignment PatternAs seen in Figure 4, Student 1's developmental trajectory exemplifies the Growth AlignmentPattern, characterized by coordinated growth across all three dimensions of self-perceivedprogress, desire, and perceived possibility and culminating in identification as aninterdisciplinary scholar. Their journey demonstrates how initial tentativeness aboutinterdisciplinary work can evolve into a confident interdisciplinary identity through sustainedengagement with interdisciplinary practices and communities. Figure 4: The Growth Alignment Pattern Developmental TrajectoryDesire TrajectoryStudent 1's desire to pursue
frequent contributorsto WIED proceedings include Rincon R. and Reisberg R., each with seven publicationsreflecting their prominent role in advancing research on women in engineering. Other prolificauthors include Bailey M.B., who has contributed to six publications. The remainingauthors— Ross L., Lucietto A.M., Zum-Birkhimer S., Ma G.G., Oka, L.G., Truyol M.E., andKaeli E.—have five publications. These findings demonstrate key individuals' collaborativeand sustained contributions to the division's research agenda. Figure 5. Top 10 most frequent authors in the Women in Engineering Division (WIED) proceedings (2015–2024).Most Cited Papers. Figure 6 presents the top 10 most cited papers, offering insight into
appreciation extends to the members of my research group, whose feedback andsolidarity have continually shaped and strengthened my thinking. Their presence has made thisjourney intellectually rich and personally meaningful. 9. References[1] A. B. and N. G. Ruiz, “Key facts about Asian Americans, a diverse and growing population,” Pew Research Center. Accessed: May 30, 2024. [Online]. Available: https://www.pewresearch.org/short-reads/2021/04/29/key-facts-about-asian-americans/[2] S. Venkatraman, “Brown University becomes first Ivy League school to add official caste protections,” NBC News. Accessed: May 30, 2024. [Online]. Available: https://www.nbcnews.com/news/asian-america/brown-university-becomes-first-ivy-league- school-add
collaborative settingsstudents’ gesture production also leveraged various forms of speech, not only including formalizedspeech (i.e., speech explicitly used in theory-based or lab courses) but also non-formalized speech.Among these formalized and non-formalized components of speech, Grondin and colleagues [12]identified instances of engineering students’ speech as referring to either the structure (S) orfunction (F) of engineering objects. Structure refers to the static nature of an engineering object(e.g., the metallic rod or the geometry of the sample) whereas function refers to the dynamic ortime-dependent nature of an engineering object being acted upon (e.g., deformation due to torsion). Mechanical reasoning tasks elicit both static and
.: National Academies Press, 2004. doi: 10.17226/10999.[5] Engineering Accreditation Commission, “Criteria for Accrediting Engineering Programs, 2023 - 2024,” 2022. [Online]. Available: https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting-engineering -programs-2023-2024/.[6] H. Eskandari, S. Sala‐Diakanda, S. Furterer, L. Rabelo, L. Crumpton‐Young, and K. Williams, “Enhancing the undergraduate industrial engineering curriculum: Defining desired characteristics and emerging topics,” Educ. Train., vol. 49, no. 1, pp. 45–55, 2007. doi: 10.1108/00400910710729875.[7] D. Nazzal, J. Zabinski, A. Hugar, D. Reinhart, W. Karwowski, and K. Madani, “Introduction of Sustainability Concepts into
Look Like and How Can It Be Explored?,” in 2018 ASEE Annual Conference & Exposition Proceedings, Salt Lake City, Utah: ASEE Conferences, Jun. 2018, p. 31234. doi: 10.18260/1-2--31234.[2] L. A. Gelles, K. L. Youmans, and I. Villanueva, “Sparking Action: How Emotions Fuel or Inhibit Advocacy around Hidden Curriculum in Engineering”.[3] R. Plutchik, “A GENERAL PSYCHOEVOLUTIONARY THEORY OF EMOTION,” in Theories of Emotion, Elsevier, 1980, pp. 3–33. doi: 10.1016/B978-0-12-558701-3.50007-7.[4] P. Ekman, “An argument for basic emotions,” Cogn. Emot., vol. 6, no. 3–4, pp. 169–200, May 1992, doi: 10.1080/02699939208411068.[5] S. An, L.-J. Ji, M. Marks, and Z. Zhang, “Two Sides of Emotion: Exploring Positivity and Negativity in Six
., Zwicky, D., & Van Epps, A. S. (2024). A scoping review of engineering education systematic reviews. Journal of Engineering Education, 113(4), 818– 837. https://doi.org/10.1002/jee.20549[6] ASEE (2024). https://peer.asee.org/[7] Gunn, C. (2000, June), Utilizing Co Op To Further Liberal Education Within Engineering Paper presented at 2000 Annual Conference, St. Louis, Missouri. 10.18260/1-2--8828[8] Anderson, A., & Lee-Thomas, G. (2000, June), Assessing Cooperative Education Through The Lens Of Abet Outcomes Paper presented at 2000 Annual Conference, St. Louis, Missouri. 10.18260/1-2--8172[9] Wilding, K., & Grossman, C., & Hundley, S., & Fox, P. (2001, June), An International Cooperative Education
work which draws from the legacy of Perry [28], Faber and Benson [26]identified students who could be termed “multiplists,” as they had moved beyond absolute,binary notions of right and wrong and acknowledged multiple perspectives. Nevertheless, thesestudents struggled to evaluate validity and justifications thoroughly, often relying on superficialor insufficient evidence. Alarming in this regard is Wise et al.’s [29] finding that mostengineering students only reach such a stage of epistemic development by their fourth year,rather than advancing to the more nuanced “evaluatist” stages (that is, adopting a moresophisticated view of knowledge and knowing processes; see [30]). When applied to engineeringjudgment, if educators aim to cultivate
calculus concepts. As a result, the virtual modulesignificantly increased students’ interest in calculus.Despite these successes in engineering education, most VR modules discussed above [9, 10, 11,12] are based on entirely imaginary universes with artificial physics simulations developedthrough 3D game engines (e.g., Unity [13], or Unreal Engine [14]). If not well investigated, thesegame engine-based VRs are criticized for being unauthentic and unsophisticated [15]. Indeed,developing and maintaining realistic, high physical fidelity, virtual content is time-consumingand labor-intensive [16], as the developer(s) must consider multiple factors such as viewpointselection, camera movement, the realism of the virtual environment, media mode
request funding for camp sponsorships and immersiveexperiences. We hope that by providing this model, detailed camp schedule, costs, and logistics,we can inspire camps across the county. In addition, we feel that as the idea grows, we willeventually have multiple summer camps at each of our institutions annually. Reference[1] M. Terzian, Ph.D., M.S.W., K. A. Moore, Ph.D., and K. Hamilton, M.A., Effective and promising summer learning programs and approaches for economically-disadvantaged children and youth, ERIC Document No. ED506969, 2009. [Online]. Available: https://eric.ed.gov/?id=ED506969.[2] S. A. Phelan, S. M. Harding, and A. S. Harper-Leatherman, "BASE (broadening
demand for being a peer mentor exceeds theneed, an application and selection process will be implemented.Peer mentors introduced themselves to first-year students shortly before the start of classesduring a first-year orientation event. The peer mentor program was explained to the first-yearstudents, and the benefits of being active in the program were also explained, backed by data.During the orientation, students could scan a QR code for a link to the biographies of all the peermentors along with a peer mentor preference survey. The biographies mostly included mentorinterests and hobbies outside of class. In the preference survey, first-year students indicatedwhich peer mentor(s) they were interested in being paired with. The QR code links
Paper ID #46300Building College Capital for Community College Students: The Perspectivesof Students Participating in an Engineering Momentum ProgramDr. Jingjing Liu, Florida International University Dr. Jingjing Liu is a Postdoctoral Associate in the School of Universal Computing, Construction, and Engineering Education (SUCCEED) at Florida International University.Dr. Bruk T Berhane, Florida International University Dr. Bruk T. Berhane received his bachelorˆa C™s degree in electrical engineering from the University of Maryland in 2003. He then completed a masterˆa C™s degree in engineering management at George Washington
that ‘The autograders were incredibly helpful’ while another mentionedthat ‘I think the auto graders should give hints as to what is required otherwise even debuggingmultiple times ends up giving the same errors.’ The authors are of the opinion that in a junior-level mechanical engineering class, an autograder is not meant to fix student code. Instead, wewant students to exercise their critical thinking to build their own debugging skills given minimaldirection. In the root-finding example, students are not told which equation(s) the autograder isusing to determine their function’s accuracy. However, students are given a list of equations toperform their own tests. It is our expectation that if the autograder says “Your bisection code isnot
mission can be seen below in Table 3. We chose to de-identify companynames for the purposes of this paper.Table 3. Local Companies Overview Company Company Mission Green Company 1 develops, commercializes, and deploys forward looking clean energy Technology innovations for our commercial, community, and utility customers. From US Company Department of Energy R&D funded grants to hundreds of commercial solar and EV charging installations, Company 1’s experience and services are supporting all communities’ transition to a cleaner robust future. Solar Company 2 is a local, Vermont-based, member-owned worker’s cooperative Installation specializing in affordable, high
., works for Communication across the Curriculum (CxC) at Louisiana State University (LSU). She is a Ph.D. candidate in LSUˆa C™s cultural geography and anthropology program, and has over 10 years of qualitative research and teaching ©American Society for Engineering Education, 2025 Celebrating 20 Years of the Engineering Communication Studio at Louisiana State UniversityAbstractThis practice paper reviews the 20-year history of the Engineering Communication Studio(Studio) at Louisiana State University (LSU), highlighting its role in improving communicationskills among engineering students to promote leadership, teamwork, and understanding ethicaland professional
implemented to improve the overall efficiency of this cycle.The introduction and discussion of these power cycles rely heavily on the use of temperature versusentropy diagrams (T-s) which clearly show the process as the working fluid moves from state tostate. A T-s diagram of a simple ideal Rankine Cycle is shown in Figure 1. Figure 1. T-s diagram of a generic simple, ideal Rankine Cycle.Assignment Students were assigned the task of designing a new powerplant for the university. Thispowerplant was required to produce a minimum 12-MW of power. Due to metallurgical constraintsstudents were limited to a maximum temperature of 620 ℃, unless they could prove theircomponents could withstand a higher temperature. All components used had to be
whichhelps fund study-related initiatives including an online [deidentified] video portal; an annual[deidentified] conference for secondary school girls interested in computing featuring interviewparticipants and industry professionals; research experiences for undergraduate students (NSFREU); and STEM education postdoctoral scholars.References[1] S. Ashford-Hanserd, Effects of community cultural wealth on persistence of Black and Hispanic women in the P-20 computing workforce pipeline in Texas (Award No. 2046079) [Grant]. National Science Foundation, 2021–2026. Available: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2046079[2] T. J. Yosso, “Whose culture has capital? A critical race theory discussion of community
supported by the National Science Foundation under Grant Nos. 2325523,2325525, and 2434698.References[1] S. E. Dreyfus and H. L. Dreyfus, "A Five-Stage Model of the Mental Activities Involved in Directed Skill Acquisition," Berkeley, CA, No. ORC-80-2, 1980. [Online]. Available: https://apps.dtic.mil/sti/pdfs/ADA084551.pdf[2] C. M. Seifert, A. L. Patalano, K. J. Hammond, and T. M. Converse, "Experience and expertise: The role of memory in planning for opportunities," in Expertise in Context, P. J. Feltovich, K. M. Ford, and R. R. Hoffman Eds. Menlo Park, CA: AAAI Press/ MIT Press, 1997, pp. 101-123.[3] E. E. Miskioğlu and K. M. Martin, "Is it Rocket Science or Brain Science
faculty. We areassembling the resources we gathered to be able to share later with the community.Despite the progress and importance of this research effort, it has recently been terminated,reflecting a shift in the NSF’s stated priorities away from explicitly equity-oriented research. Asa research team deeply committed to equity and systemic change, we disagree with this shift andremain steadfast in our belief in the necessity of research that moves towards racial equity ineducation.Acknowledgements:This material is based upon work supported by the National Science Foundation through AwardNumbers 2237564. Any opinions, findings, and conclusions, or recommendations expressed inthis material are those of the author(s) and do not necessarily
from underserved populations and foster social mobility of students from economically disadvantaged backgrounds. He is a life member of SHPE and SACNAS, and Senior Member of IEEE. He is also a member of AIAA, ASEE, and AGU.Dr. John C. Kelly, North Carolina A&T State University Dr. John C. Kelly, Jr. is chair and associate professor in the Department of Electrical and Computer Engineering at North Carolina A&T State University. He received his Ph.D. in Electrical Engineering from the University of Delaware. Dr. Kellyˆa C™s researcDr. Pamela Leigh-Mack, Virginia State University Dr. Pamela Leigh-Mack is Professor and Chair of the Department of Engineering at Virginia State University. She received the B.S
initiative.References[1] A. M. McAlister, S. Lilly, R. Bailey, and J. L. Chiu, “The Many Roles of an Engineering Graduate Student: Exploring How Graduate Students Identify with the Multiple Roles They Assume,” International Journal of Engineering Education, vol. 38, no. 5, pp. 1307– 1327, 2022.[2] D. F. Feldon et al., “Graduate Students’ Teaching Experiences Improve Their Methodological Research Skills,” Science, vol. 333, no. 6045, pp. 1037–1039, Aug. 2011, doi: https://doi.org/10.1126/science.1204109.[3] K. McGoldrick, G. Hoyt, and D. Colander, “The Professional Development of Graduate Students for Teaching Activities: The Students’ Perspective,” The Journal of Economic
camps, clubs, or after school activities cangive students a sense of success and increase students’ interest in learning more about Python orother programming languages [14]. This strategy could also be used in formal education with acareful selection of projects that lead to learning the programming language in depth over thecourse of the year. Over the long run such strategies can broaden participation in computing byincreasing interest and confidence in learning programming languages.AcknowledgementsWe gratefully acknowledge the GenCyber Program for the support to offer cybersecurity campsfree of charge to U.S. students.References[1] J. R. Warner, C. L. Fletcher, R. Torbey, and L. S. Garbrecht, “Increasing capacity forcomputer science in
shown here.) 4Figure 3: University and Engineering 4-, 5-, and 6-Year Graduation RatesFigure 4: Student Retention at the University and SchoolRetention rates were next analyzed based on initial math placement by considering students whowere placed in pre-calculus and those who were placed in Calculus I or above. Table 1 shows thedifferences in retention rates within the School (S) and at the University (U). The data indicatethat retention rates both at the School and at the University lowered during COVID, but theimpact within the School was much higher. The retention rate in the School in 2021 of 39% forstudents placed in pre-calculus was particularly alarming
this study can be utilized to enhance the effectiveness of summer bridge programs,thereby producing engineers who meet the projected workforce demand.References[1] B. L. Yoder, “Engineering by the numbers: ASEE retention and time-to graduation benchmarks for undergraduate engineering schools, departments and programs,” 2016.[2] B. N. Geisinger and D. R. Raman, “Why they leave: Understanding student attrition from engineering majors,” in International Journal of Engineering Education, 2013.[3] A. Kodey, J. Bedard, J. Nipper, N. Post, S. Lovett, and A. Negreros, “The U.S. Needs More Engineers. What’s the Solution?,” Dec. 2023. Accessed: Jan. 14, 2025. [Online]. Available: https://web-assets-pdf.bcg.com/prod
attention on keylearning objectives. This involves starting with the learning objectives and then incorporatingonly tool(s) that are well aligned to those objectives and can be seamlessly integrated into thelearning environment, e.g., via single sign-on and in-line placement. This contrasts with a naturaltendency, especially in online design, to incorporate multiple educational technologies into acourse simply because they are available and might be useful. While such technology uses mightpromote learning, they are also quite likely to create extraneous cognitive load, which detractsfrom learning. That is, when students are compelled to learn and focus on multiple tools, theirattention and time are taken away from the primary learning objectives
people with different sensory needs.References[1] D. H. Uttal et al., “The malleability of spatial skills: A meta-analysis of training studies.,” Psychol. Bull., vol. 139, no. 2, pp. 352–402, Mar. 2013, doi: 10.1037/a0028446.[2] C. A. Cohen and M. Hegarty, “Inferring cross sections of 3D objects: A new spatial thinking test,” Learn. Individ. Differ., vol. 22, no. 6, pp. 868–874, Dec. 2012, doi: 10.1016/j.lindif.2012.05.007.[3] M. C. Linn and A. C. Petersen, “Emergence and Characterization of Sex Differences in Spatial Ability: A Meta-Analysis,” 1985, vol. 56, no. 6, pp. 1479–1498, 1985, doi: https://doi.org/10.2307/1130467.[4] D. Voyer, S. Voyer, and M. P. Bryden, “Magnitude of sex differences in spatial abilities: A meta
well as the total number of tokens (operatorsand operands combined) [3]. In our study, we applied Halstead Measures within the Expertiza code toestablish a baseline for software complexity. Additionally, we examined how code refactoring impactsoverall complexity. n1 = number of distinct operators n2 = number of distinct operands N1 = total occurrences of operators N2 = total occurrences of operandsHalstead Measures estimate programming difficulty D byand programming effort E byProgramming time is an estimate of the time it takes to implement or understand fully the given software[3]. This metric is calculated bywhere f = 60 (seconds per minute) and S = 18 (moments per second). S is
. 12, 2025. [Online]. Available: https://www-scopus-com.proxy.lib.ohio-state.edu/record/display.uri?eid=2-s2.0-851061909 29&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=%28TITLE%28transgender%29 +AND+ABS%28engineering%29%29&sessionSearchId=489192ebf1b727a0671573e86d5 969db&relpos=9[4] A. L. Pawley, C. Schimpf, and L. Nelson, “Gender in Engineering Education Research: A Content Analysis of Research in JEE, 1998-2012,” J. Eng. Educ., vol. 105, no. 3, pp. 508–528, Jul. 2016, doi: 10.1002/jee.20128.[5] “Education,” US Trans Survey. Accessed: Jan. 13, 2025. [Online]. Available: https://ustranssurvey.org/report/education/[6] “Course + Curriculum | Engineering For US All
3.This board, along with three Analog Devices AD627 instrumentation amplifiers, will be housedinside one of the handles of the handheld tool. Power to the microcontroller board will beprovided via an onboard MicroUSB port connected to the host computer. The M0 will send3.3V to each of three Wheatstone bridges, comprised of four Micro Measurements 240UZA-series strain gauges, and to each of the three AD627 amps. Each Wheatstone bridge will capturedeformations in one of three modes: axial, torsional, and flexural bending. The analog signalsfrom each bridge will first route to the AD627’s to be amplified, then pass to the M0 to becomedigitized by the microprocessor, and finally sent to the host computer via the same MicroUSBcable providing