. Any opinions, 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] C. B. Zoltowski, P. M. Buzzanell, A. O. Brightman, D. Torres, and S. M. Eddington, “Understanding the Professional Formation of Engineers through the Lens of Design Thinking: Unpacking theWicked Problem of Diversity and Inclusion,” ASEE Annu. Conf. Expo. Proc., Jun. 2017, Accessed: Dec. 06, 2022. [Online]. Available: https://par.nsf.gov/biblio/10036285-understanding-professional-formation-engineers- through-lens-design-thinking-unpacking-thewicked-problem-diversity-inclusion[2] B. Frank, D. Strong, R. Sellens, and L. Clapham
. D. Jones et al, "An analysis of motivation constructs with first‐year engineering students:Relationships among expectancies, values, achievement, and career plans," J Eng Educ, vol. 99,(4), pp. 319-336, 2010.[2] V. G. Renumol, D. Janakiram and S. Jayaprakash, "Identification of cognitive processes ofeffective and ineffective students during computer programming," ACM Transactions onComputing Education (TOCE), vol. 10, (3), pp. 1-21, 2010.[3] S. Bergin and R. Reilly, "Predicting introductory programming performance: A multi-institutional multivariate study," Computer Science Education, vol. 16, (4), pp. 303-323, 2006.[4] M. Thuné and A. Eckerdal, "Analysis of Students’ learning of computer programming in acomputer laboratory context," Null
graduate education for improvingtechnical and professional skills of graduate education has demonstrated that it has potential inaddressing the project goals. For this model to be successful, several requirements are critical. Asdemonstrated above, teams are more successful when effective scaffolds are employed to supportthe co-creation process. These scaffolds need to come from supportive and engaged researchadvisors of graduate students who can work collaboratively with an agreed-upon set of goals andobjectives for their students’ success in this effort. Throughout the project, mechanisms formaintaining and exercising acquired skills need to be provided. We also believe that it isimportant to identify the specific product(s) that co-creating
of the mentoring sessions. Two of the mentors interviewed were Deans ofEngineering and two were faculty members. During an individual 30-minute interview, each wasasked the following questions: 1. I understand that you have served as a mentor for at least one of the KIND speed Mentoring workshops. What was the topic for the mentoring session(s) that you led? 2. Approximately how many individuals participated in your session(s)? 3. May I ask you to briefly describe your impressions/experiences of the session(s)? 4. What did you think went particularly well with the session(s)? 5. Were there any aspects of the session(s) that proved particularly challenging or that you wish you had approached differently? 6. Have you
publication.AcknowledgementThe authors would like to appreciate the financial support from the National Science Foundationvia award #2107140, # 2110760 and the Department of Energy via award DENA0003987, alsothe RISE grant from the Research & Innovation at Prairie View A&M University.References[1] J. Lee, B. Bagheri, and H.-A. Kao, "A cyber-physical systems architecture for industry 4.0-based manufacturing systems," Manufacturing letters, vol. 3, pp. 18-23, 2015.[2] Y. Huang, M. C. Leu, J. Mazumder, and A. Donmez, "Additive manufacturing: current state, future potential, gaps and needs, and recommendations," Journal of Manufacturing Science and Engineering, vol. 137, no. 1, 2015.[3] B. Motyl, G. Baronio, S. Uberti, D. Speranza, and S
Psychologist, 34(1), 118-133. https://doi.org/10.1177/0011000005282374Bowman, P. J. (2013). A Strengths-Based Social Psychological Approach to Resiliency: Cultural Diversity, Ecological, and Life Span Issues. In S. Prince-Embury & D. H. Saklofske (Eds.), (pp. 299-324). Springer Science & Business Media. https://doi.org/10.1007/978-1-4614-4939-3_21Brooms, D. R., & Davis, A. R. (2017). Exploring Black Males' Community Cultural Wealth and College Aspirations. Spectrum: A Journal on Black Men, 6(1), 33-33. https://doi.org/10.2979/spectrum.6.1.02Burrell, J. O., Fleming, L., Fredericks, A. C., & Moore, I. (2015). Domestic and international student matters: The college experiences of Black males majoring in
(KPIn ) we used in this effort are listed below and we developedfunctions to drive our algorithms in our custom database dashboard. 1. 100% 1st article 2. Inventory each kit 3. On-Time Delivery 4. Percentage of revenueIn equation 1, KPI1 is defined as how much time (T ) it takes to get a final working product that istested. For example, we can compute the time between dates such as physical work start (P W S)date, material procurement dates, 1st article test (1AT ) dates, and final article test dates. KP I1 = TP W S − T1AT . (1)In equation 2, KPI2 is defined as how long it takes to inventory each kit. For example, we candetermine the function by comparing timestamps
Assessment Program, 2003.[2] C. R. Pace and G. G. Stern, “An approach to the measurement of psychological characteristics of college environments,” Journal of Educational Psychology, vol. 49, no. 5, pp. 269–277, Oct. 1958, doi: http://dx.doi.org/10.1037/h0047828.[3] P. T. Terenzini and E. T. Pascarella, “Twenty Years of Research on College Students: Lessons for Future Research,” Research in Higher Education, vol. 32, no. 1, pp. 83–92, 1991.[4] C. Kandiko Howson and F. Matos, “Student Surveys: Measuring the Relationship between Satisfaction and Engagement,” Education Sciences, vol. 11, no. 6, Art. no. 6, Jun. 2021, doi: 10.3390/educsci11060297.[5] P. C. Wankat and F. S. Oreovicz, Teaching Engineering
careers: Leaky pipeline or gender filter?” Gender and Education, 17(4), pp. 369–386, 2005.[2] R. Suresh, “The relationship between barrier courses and persistence in engineering.” Journal of College Student Retention, 8(2), pp. 215–39, 2006/2007.[3] T. Armstrong, Neurodiversity: A Concept Whose Time Has Come. Da Capo Press. 2010. p. 3.[4] T. Armstrong “The Myth of the Normal Brain: Embracing Neurodiversity.” AMA J Ethics.17(4): pp. 348-352, 2015. doi:10.1001/journalofethics.2015.17.4.msoc1-1504.[5] C. L. Taylor, A. Esmaili Zaghi, J. C. Kaufman, S. M. Reis, and J. S. Renzulli, “Divergent thinking and academic performance of students with attention deficit hyperactivity disorder characteristics in engineering
form of steam by findingthe percentage of initial mass 1234 Kg/s distributed along the system by calculating the values ofmass flow rates, y1 to y8. Additionally, the students were asked to find the Carnot efficiency,thermal efficiency, and representing all the states on P-v, T-v and T-s plots.Course grading scale and assessment HW's and presentations 40% Attendance 10% Midterms 20% Final Project 15% Final Exam 15%Innovative techniquesTowards the middle of this course, local engineers from the industry were invited to give a guesttalk related to energy
Paper ID #38459Work in Progress: Engineering Identity Development after Two Years ofUndergraduate EducationJanet Aderemi Omitoyin, Janet Omitoyin is a PHD student in the Department of Curriculum and Instructions, University of Illinois at Chicago (UIC). An astute scholar, Janetˆa C™s quest for a solution to the problems of mathematics learning based on her experience as a student andDr. Renata A. Revelo, The University of Illinois, Chicago Renata Revelo is a first-generation college student, migrated from Ecuador to the United States as a teenager with her parents and sister. She is the first in her family to obtain a
they encounter. Once these processesare articulated, engineers must proceed to engaging in creating the potential solutions for of theproblems that they encounter. Through this, engineers generate potential solutions to theproblem, select an optimal solution, and design and engage in a step-by step-plan(s) andassociated analysis using engineering disciplinary skills. They verify results, evaluate, and adjustthe solutions they work on accordingly, until they reach an optimal solution for their identifiedproblems.10 This is an important process for practicing engineers, however, rarely are first yearengineering students exposed to and able to practice this process. Our program addresses thisimportant practice during the first semester that
also some mismatch between the declared knowledge of atool and its described practice or the instructors’ conceptions. The future inclusion of empiricaldata from observations and artifacts will give us a broader perspective to approach these questionsand arrive at conclusions on the long-term impact of our faculty development program.References[1] R. M. Felder, “Teaching engineering in the 21st century with a 12th century teachingmodel: How bright is this?,” Chemical Engineering Education, vol. 40, no. 2, pp. 110–113, 2006.[2] R. Graham, Achieving excellence in engineering education: the ingredients of successfulchange. London: The Royal Academy of Engineering & Massachusetts Institute of Technology,2012.[3] S. Freeman et al
., examining the nuance in January and Srihari’s disability identities whenconsidering engineering and US cultural stigma regarding mental health disabilities). Bydeveloping a greater understanding of the ways student narratives intersect with their culturalformation as engineers, we can contribute to an engineering education culture that not onlyaccepts, but invites students to freely and simultaneously construct their personal andprofessional identities.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under AwardNumbers 2114241 and 2114242. Any opinions, findings, and conclusions, or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National
analysis to analyze the interviews and video transcripts since it allows for asystematic way of seeing and processing qualitative data [38]. We followed Braun and Clarke[38]’s six-phase method for thematic analysis, which encompassed familiarizing yourself withdata, generating initial codes, searching for themes, reviewing, defining, and naming the themes,and creating the report. First, statements in the interview were coded with descriptive labelsthrough emergent coding, and these codes were categorized into themes. Constant comparison,first within each interview and then within each group (i.e., children as a group and parents as agroup), was used to continually sort the data until a robust set of themes explaining the data wasdeveloped for each
past chair of the Research in Engineering Education Network (REEN) and a deputy editor for the Journal of Engineering Education (JEE). Prior to joining ASU he was a graduate research assistant at the Tufts’ Center for Engineering Education and Outreach. ©American Society for Engineering Education, 2023 Examining the Unique Experiences of Transgender and Gender Nonconforming Students in a Pre-College Engineering CourseIntroduction Very little research on transgender and gender nonconforming (TGNC) students inengineering has been undertaken to better understand the experiences of this underrepresentedand largely ignored population. Pawley et al. 's [1] review of published articles in
subscribed users to the rulewould be notified that the door was closed. Likewise, an upper bound of 50 m/s2 was applied tothe acceleration in the Y-axis to determine when the door was opened. Table 1: XDK Acceleration Data for the Door Open State Coded Variable Min Axis 2 Max Value (m/s ) Value X acc_x 18 38 Y acc_y 15 45 Z acc_z 982 1011 Table 2: XDK Acceleration Data for the Door
is ongoing. The results will inform future implementationand program communication and seek to understand if the student experience is consistent withthe literature previously mentioned. Additionally, this will serve as the beginning of alongitudinal study to understand student career development over their entire college career. It iscritical to understand the longevity of this structure on a student’s pathway into an engineeringcareer and inform continue intervention of these skills at the first-year level.[1] B. D. Jones, M. C. Paretti, S. F. Hein, and T. W. Knott, “An Analysis of Motivation Constructs with First-Year Engineering Students: Relationships Among Expectancies, Values, Achievement, and Career Plans,” Journal of
success variables, college grades a (i.e., first year GPA) and creativity.Preliminary findings suggest that specific college experiences have a greater influence on first-year GPA and that students with ADHD are more likely to self-report high levels of creativity.We also plan to conduct the analysis for resilience, a less-common measure of collegiateacademic success that may be relevant for students who have ADHD.Table 2. Model components, constructs, and survey items from the HERI instrument [32], [33]. Components and constructs of our model Item(s) from the HERI instruments Precollege characteristics & experiences Gender Gender of respondent; Survey choices: Female, Male Sociodemographic
had been highly rated at the time of original review. Inpart because of this and in part because it is an important part of proposal review, our reviewerswere asked to closely read the current program description and calls for proposals and evaluatethe proposals with respect to how well they matched the current call. This allowed for apotentially greater range of quality evaluations, with the understanding that there would be amismatch between the current call and the call the original proposals responded to. The callsused in this training were the Preparing Future Engineers: Research Initiation in EngineeringFormation (PRF: RIEF), Scholarships in Science, Technology, Engineering & Math (S-STEM),and the Faculty Early Career Development
/translating-theory-on-color-blind-racism-to-an-engineering-educatio n-context-illustrations-from-the-field-of-engineering-education.[10] S. Johnston, A. Lee, and H. McGregor, “Engineering as Captive Discourse,” Society for Philosophy and Technology Quarterly Electronic Journal, vol. 1, no. 3/4, pp. 128–136, Oct. 1996, Accessed: Jul. 06, 2021. [Online].[11] M. G. Eastman, M. L. Miles, and R. Yerrick, “Exploring the White and male culture: Investigating individual perspectives of equity and privilege in engineering education,” J. Eng. Educ., vol. 108, no. 4, pp. 459–480, Oct. 2019.[12] E. Rap and M. T. Oré, “Engineering Masculinities: How Higher Education Genders the Water Profession in Peru,” Eng. Stud., vol
chemical engineer before, and mentorvideos and interactions helped them meeting with professional chemical engineers and seeingtheir future in them.Future WorkWe had collected both qualitative and quantitative data during three semesters ofimplementation. All data was cleaned, organized, coded individually and as a group. This data iscurrently being analyzed.AcknowledgmentsThis work was supported through the National Science Foundation’s funding under a PFE: RIEFGrant No. (2024960). Any opinions, findings, conclusions, or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the National ScienceFoundation’s views. We wish to thank survey and interview participants for their participation inthe
; less than 28% of the total IT workforceand only 12% of engineers are female [2]. By the time students reach college, 1 in 5 young menplan on majoring in engineering or computing while only 1 in 17 young women declare the same[3]. Since 1990, the percentage of female computing professionals dropped from 35% to about24% today, and if that trend continues, the share of women in the nation’s computing workforcewill decline to 22% by 2025 according to Girls Who Code [4]. These statistics provide themotivation for a program called Project-based Work Studio (PWS) developed at a mid-sizedAppalachian primarily undergraduate university supported by an NSF S-STEM grant to build amore proportionate female workforce in computer science, engineering, and
Foundation under Grant No.EEC 2144213. References[1] N. Hillman and T. Weichman, "Education deserts: The continued significance of “place” inthe twenty-first century," American Council on Education, Washington, DC, 2016.[2] M. Reyes, A. Dache-Gerbino, C. Rios-Agular, M. Gonzalez-Canche and R. Deil-Amen, "The“geography of opportunity” in community colleges: The role of the local labor market instudents’ decisions to persist and succeed," Community College Review, vol. 47, no. 1, pp. 31-52, 2019.[3] F. S. Laanan and D. Jain, "Advancing a new critical framework for transfer student research:Implications for institutuional research," New Directions for Institutional Research, vol. 170, pp.9-21, 2017.[4] S. S
found a noticeable but insignificant difference in scores. All calculations wereperformed using Microsoft Excel. Table 2. Summary of results. Mean Standard Shapiro-Wilk Mann-Whitney Result Duration (s) Deviation (s) Normality U test Normal Pre-COVID 149 84 Statistically (p>0.05) U=329 significant
Figure 2, we found a statistically significant improvement in problem-solving masterywhen comparing the Abstract #1’s draft to the final submission (* refers to p=0.000031). Onlycompleted abstracts were included in the analysis (n=19 out of 26). The mean Hake gain for thefirst abstract is 48 +/– 7 %, suggesting that students earned almost half of the points lost on thedraft on the final abstract submission. Additionally, the quality of peer reviews scored 35 +/– 9 outof a maximum score of 48 (maximum of eight points per standard and six standards evaluated).Initial investigation of the correlation between mastery improvement and quality of peer reviewwere not significant for either the critic or the critiqued. Thematic analysis of peer review
those developed by Butterfield, Elmer,Prima, et al., involve temperature monitoring [1] or air quality and colorimetric sensing [2-6]using Arduino’s IDE programming language. Henrique et al. use Arduino boards and open-source processing software for flow, level, pH, and temperature control [7]. Their processesincorporate rigor and complexity. Hedengren et al. developed a small, portable, integratedArduino temperature control kit, allowing students to readily put to practice process controlsusing MATLAB scripts and Simulink models [8-10].Like Hedengren et al.’s kit, our system is low-cost, small and portable. It is a risk-free andsimple alternative that expands learning options, allowing easy application of Simulink or otherprogramming platforms
Revolution to Industry 4.0: A Literature Review,” in 2020 ASEE Virtual Annual Conference Content Access Proceedings, Virtual On line, Jun. 2020, p. 35318. doi: 10.18260/1-2--35318.[4] S. R. Brunhaver, R. Korte, S. Barley, and S. Sheppard, “Bridging the Gaps between Engineering Education and Practice,” in U.S. Engineering in a Global Economy, University of Chicago Press, 2018, pp. 129–163. doi: 10.7208/chicago/9780226468471.001.0001.[5] K. Tonso, “Teams that work: Campus culture, engineer identity, and social interactions,” J. Eng. Educ., vol. 95, no. 1, pp. 25–37, 2006.[6] A. C. Loignon, D. J. Woehr, M. L. Loughry, and M. W. Ohland, “Elaborating on Team- Member Disagreement: Examining Patterned Dispersion in Team-Level Constructs
surveys in solving selected geotechnical and environmental problems,” Applied Sciences, vol. 10, no. 7, 2020.[3] R. Herman, “An introduction to electrical resistivity in geophysics,” American Journal of Physics, vol. 69, no. 9, pp. 943-952, 2001.[4] J. Stanley, “Earth resistivity meter,” Electronics Today International, 1981.[5] R. Beck, “Earth resistivity meter,” Everyday with Practical Electronics, vol. 26, no. 2, pp. 102-105, 1997.[6] J. Becker, “Earth resistivity logger,” Everyday Practical Electronics, vol. 32, no. 4, pp. 288- 295. 2003.[7] B. S. Badmus and A. O. Kilasho, “Fabrication of electrical resistivity equipment and some model studies within complex basement terrain of southwestern Nigeria,” Research Journal
materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation. References[1] Council of Graduate Schools, “Ph.D. completion and attrition: Analysis of baseline data from the Ph.D. completion project,” Council of Graduate Schools, Washington, DC, USA, 2008.[2] C. Wendler et al., “The path forward: The future of graduate education in the United States,” Educational Testing Service, Princeton, NJ, USA, 2010.[3] J. M. Jones, “The dual pandemics of COVID-19 and systemic racism: Navigating our path forward,” School Psychol., vol. 36, no. 5, pp. 427-431, Sep. 2021, doi: 10.1037/spq0000472.[4] C. Davies, C. A. Arbeit, and M. Yamaner