belowsummarizes the findings from our analysis of each article.Each article included undergraduate (and sometimes graduate) students working on anengineering design problem in teams of varying sizes. We focused on understanding the contextof each paper, the technique(s) used to elicit the mental model (“Elicitation Process”) from theteams and then the process used by the research team or the students themselves to generate arepresentation of that mental model (“Model Generation Process”). The design contexts in whichstudents were working were different and included topics related to issues with transportation insnow (Helm et al., 2017), designing low-income housing (Quinones et al. 2009), or designing anew desk lamp (Muller et al., 2009). The
participants a copy of the transcripts to obtain their feedback. Weare committed to exclude any language that the participants deem necessary.ResultsBased on the outcomes of our data analyses, the findings are forthcoming. Our findings will highlight the waysin which CCW influences Black and Hispanic women’s persistence in computing education in response to ourcollective need to better support this population in their attainment and representation in STEM+C disciplines.AcknowledgementThis material is based upon work supported by the National Science Foundation under Grant No. 2046079.Any opinions, findings, and conclusions or recommendations expressed in this material are those of theauthor(s) and do not necessarily reflect the views of the National
offemale role models. One additional explanation is the presence of several supportprograms such as the TWU Multi-Ethnic Biomedical Research Program, the Women IneNgineering (WIN), and the Computer Science, Engineering, and Mathematics Scholars(CSEMS).According to the National Science Foundation1, the percentage of earned bachelor’sdegrees for the year 2000 in science and engineering for underrepresented minorities is15.6%. This 15.6% total in bachelor ‘s degrees earned in science and engineering breaksdown into 8% Blacks / No- Hispanics, 6.9% Hispanics and 0.7% American Indian orAlaskan Natives. At TWU the total percentage of underrepresented minorities in thesciences is 38.8% of the 484 total science majors with known ethnicity. In fact, 24.79
moreaccurately assess whether the online sketching questions are indeed measuring what we intendthem to measure.As noted previously, the first five weeks of the semester in EGT 120 are devoted solely to handsketching, before introducing CAD work, and the sketching activities continue throughout thesemester. Considerable time is spent in class providing formative and summative feedback withthese conventional sketching practices. Because of the importance of sketching in developingvisualization abilities, even with the success of the format change on exams, there are no plans toreplace current lecture and lab sketching activities with items and exercises similar to those beingused on exams.References[1] N.L. Veurink, A.J. Hamlin, J. C. M. Kampe, S. A
institution.” Journal of Hispanic Higher Education, vol. 20, no. 3, pp. 297-312, 2021.[4] M. F. Rogers-Chapman. "Accessing STEM-focused education." Education and Urban Society, vol. 46, no. 6, pp. 716-737, 2014.[5] J. L. Petersen and J. S. Hyde. "Trajectories of self-perceived math ability, utility value and interest across middle school.” Ed. Psych., vol. 37, no. 4, pp. 438-456, 2017.[6] D. L. and Z. Lavicza, “Dissecting a Cube as a Teaching Strategy for Enhancing Students’ Spatial Reasoning,” Proceedings of Bridges 2019, pp. 319–326,[7] u/diegolieban, “GeoGebra and 3D printing: Mathematics as a creative practice,” GeoGebra, Feb. 03, 2020. www.geogebra.org/m/pkfzccjw (accessed Jan. 16, 2021).[8] Y. Gao, S. Liu, M. M. Atia, and A
optimize NLP use in qualitative analyses and demonstrate itsefficacy in further expanding qualitative research capacity in engineering education research.Future research will also explore code and theme frequency by gender, race, and ethnicity andalso explore error rates among those different groups.References[1] E.D. Liddy, "Natural Language Processing," in Encyclopedia of Library and Information Science, 2nd Ed., NY, Marcel Decker, Inc., 2001.[2] S. Tenny, J. M. Brannan, G. D. Brannan, Qualitative Study. Treasure Island, FL: StatPearls Publishing, 2022. Available from: https://www.ncbi.nlm.nih.gov/books/NBK470395/[3] "About e-rater", Educational Testing Service (ETS). [online]. Available: https://www.ets.org/erater/about.html[4] A
.[6] K. Mite-Baidal, C. Delgado-Vera, E. Solís-Avilés, A. H. Espinoza, J. Ortiz-Zambrano, and E. Varela-Tapia, “Sentiment analysis in education Domain: A systematic literature review,” in Technologies and Innovation, R. Valencia-García, G. Alcaraz-Mármol, J. Del Cioppo- Morstadt, N. Vera-Lucio, and M. Bucaram-Leverone, Eds., Cham: Springer International Publishing, 2018, pp. 285–297.[7] Y. Sun, Z. Ming, Z. Ball, S. Peng, J. K. Allen, and F. Mistree, “Assessment of Student Learning Through Reflection on Doing Using the Latent Dirichlet Algorithm,” J. Mech. Des., vol. 144, no. 12, Sep. 2022, doi: 10.1115/1.4055376.[8] U. Naseem, I. Razzak, K. Musial, and M. Imran, “Transformer based Deep Intelligent
Encyclopedia of Communication Research Methods. pp 1-11. 10.1002/9781118901731.iecrm0011[2] Bajwa, M. (2014). Emerging 21(st) Century Medical Technologies. Pakistan journal of medical sciences, 30(3), 649-655. https://doi.org/10.12669/pjms.303.5211[3] Costanza-Chock, S. (2020). Design Justice: Community-Led Practices to Build the Worlds We Need. MIT Press.[4] Oudshoorn, N., Rommes, E., & Stienstra, M. (2004, 2004/01/01). Configuring the User as Everybody: Gender and Design Cultures in Information and Communication Technologies. Science, Technology, & Human Values, 29(1), 30-63. https://doi.org/10.1177/0162243903259190[5] Cutting, K., & Hedenborg, E. (2019). Can Personas Speak? Biopolitics in Design
., judging) student work on these two tasks. Participation in actual ACJ panelswill enable judges to gain a “feel” for what this assessment technique entails and how it couldbe used to enhance first-year engineering students learning experiences. At the end of theFYEE conference, results from the panels will be available for those who are interested.AcknowledgementThis work was made possible by a grant from the National Science Foundation (NSF#2020785). Any opinions, findings, and conclusions, or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the NationalScience Foundation.References[1] G. J. Strimel, S. R. Bartholomew, S. Purzer, L. Zhang, and E. Yoshikawa Ruesch, “Informing
).In the first step of the analysis, the percent success scores of the cohort in the attainment of eachof the seven SO by graduation is calculated (Table 1). Table 1: Percent Achievement of Student Outcomes by Class 2021The percent success scores of the cohort in each course are defined as the percentage of studentsthat are considered successful by achieving the benchmark score in the assessment rubric of therelevant SO. Table 1 summarizes which SO is assessed in which course(s) and semester. Forexample, in Course 5, 88% of the students scored equal or higher than the benchmark score of 3out of 4 in SO6. This assessment analysis is already part of Criterion 4. The average SO percentscores in Table 1 are calculated by arithmetic
from application & practice & toward theory, math, engineering sciencethe US • By 1980’s hands-on training had dropped significantly • National Science Foundation-funded university Coalitions in the 1990’s tried to bring some of the hands-on approach back to the curriculum For much of its history, engineering has worked to weed out all but the perceived brightest and best, with the belief that theBrief History of majority of students did not have what it takes to make an engineer.Engineering We have broadened our view of whichEducation in students have
Health,” World Health Organization, Nov. 24, 2021. https://www.who.int/news-room/fact-sheets/detail/disability-and-health (accessed Jan. 24, 2022).[3] “Disability Impacts All of Us,” Centers for Disease Control and Prevention, Sep. 16, 2020. https://www.cdc.gov/ncbddd/disabilityandhealth/infographic-disability-impacts-all.html (accessed Jan. 2022).[4] C. A. Okoro, N. D. Hollis, A. C. Cyrus, and S. Griffin-Blake, “Prevalence of Disabilities and Health Care Access by Disability Status and Type Among Adults - United States, 2016,” MMWR Morb. Mortal. Wkly. Rep., vol. 67, no. 32, pp. 882–887, Aug. 2018, doi: 10.15585/mmwr.mm6732a3.[5] E. V. Peña, “Marginalization of Published Scholarship on Students With Disabilities in Higher
education.Avneet Hira (Assistant Professor) Avneet Hira is an Assistant Professor in the Human-Centered Engineering program at Boston College with a courtesy appointment in the Department of Teaching, Curriculum, and Society. Her scholarship is motivated by the fundamental question of how engineering and technology can support people in living well in an increasingly engineered world. Her research, which is in engineering education, focuses on affordances of technology, humanistic design, and engineering epistemology. Her work is inspired by Making and tinkering practices, especially those from different local knowledge systems.Brian Keith Smith Brian K Smith is the Honorable David S. Nelson Professional Chair and Associate
Paper ID #37759Design and Fabrication of an Accelerated CorrosionChamber for Naval ApplicationsNathan M. Kathir (Associate Professor and Director of Senior Projects) Nathan M. Kathir, Ph.D., P.E.(CO), F.ASCE Director of Senior Design (Capstone), Dept of Mechanical Eng., George Mason Univ. © American Society for Engineering Education, 2022 Powered by www.slayte.comDesign and Fabrication of an Accelerated Corrosion Chamber for Naval applicationsAbstractAn improvement in capability to better manage and reduce degradation of materials in theDepartment of Navy (DON)’s
Machinery]. https://www.acm.org/code-of-ethicsADAPT Centre for Digital Content Technology. (2017). The Ethics Canvas. https://www.ethicscanvas.org/AI for Good Foundation. (2019). Projects—AI for Good Foundation. AI for Good Foundation. https://ai4good.org/active-projects/AI for Good Foundation, & Syngenta. (2017). AI for Agriculture: Help Feed the World with AI. https://ai4good.org/ai-for-agriculture/Athey, S. (2017). Beyond prediction: Using big data for policy problems. Science, 355(6324), 483–485. https://doi.org/10.1126/science.aal4321Benjamin, M., Gagnon, P., Rostamzadeh, N., Pal, C., Bengio, Y., & Shee, A. (2019). Towards Standardization of Data Licenses: The Montreal Data License. ArXiv:1903.12262
, in normal classroom quizzes, students answeringa question correctly is not necessarily a reason to remove it. It is often a challenge to develop aresearch design that functions exactly as desired in a classroom implementation. 7 References[1] K. B. Lyle, C. R. Bego, R. F. Hopkins, P. A. S. Ralston, and J. L. Hieb, “How the amount and spacing of retrieval practice affect the short- and long-term retention of mathematics knowledge,” Educ. Psychol. Rev., vol. 32, no. 1, pp. 277–295, 2019, doi: 10.1007/s10648- 019-09489-x.[2] R. F. Hopkins, K. B. Lyle, J. L. Hieb, and P. A. S
faculty start-up research fund from the Gupta College ofScience at Coastal Carolina University. The 3D printer (Ultimaker S5) of this study was fundedthrough Horry County Higher Education Commission (HCHEC) in Horry County, South Carolina.In addition, the authors acknowledge the support of the SmartState™ Center for MultifunctionalMaterials and Structures (MFMS) at the University of South Carolina.References[1] Rocha, I. L. (2018). Manufacturing as driver of economic growth. PSL Quarterly Review, 71(285), 103-138.[2] Haraguchi, N., Cheng, C. F. C., & Smeets, E. (2017). The importance of manufacturing in economic development: has this changed?. World Development, 93, 293-315.[3] Schake, S., & Craft, J. (2019). Job applicants as the
summer programmentors, compared to their colleagues who never mentored in any of the ERC summer programs.The whole and final version of the instrument will be presented at the conference.References[1] L. A. Ellis and A. K. Peterson, "A Way Forward: Assessing the Demonstrated Leadership of Graduate Civil Engineering and Construction Management Students," Leadership and Management in Engineering, vol. 11, no. 2, pp. 88-96, 2011.[2] B. Ahn, M. F. Cox, J. London, O. Cekic and J. Zhu, "Creating an Instrument to Measure Leadership, Change, and Synthesis in Engineering Undergraduates," Journal of Engineering Education, vol. 103, no. 1, pp. 115-136, 2014.[3] S. Kumar and J. K. Hsiao, "Engineers learn "soft skills the hard way": Planting a
semester separationbetween two courses will give students ample time to identify their project topic and carry outnecessary background research before the second capstone course, thus they will spend timesolely on the project during their last semester. Changes and tweaks will be made to each coursebased on the feedback from students and faculty to improve student learning outcomes outlinedby ABET. More importantly, the sequence will be designed and improved to equip students withtechnical skills and professional skills, which will prepare students to meet expectations from theindustry and ease students’ transition into the professional world.References[1] C. Gewirtz, D. A. Kotys-Schwartz, D. Knight, M. C. Paretti, S. Arunkumar, J. D. Ford, S.Howe
the Construction Science and Management and Civil Engineering Technology Programs, and her research focus is in student engagement and retention in engineering and engineering technology education. Contact: talley@txstate.eduJosh Hurt (Research Engineer 1)Julie S Linsey (Associate Professor) Georgia Tech © American Society for Engineering Education, 2022 Powered by www.slayte.com Changing Homework Achievement with Mechanix Pedagogy: Increasing the Efficacy of a Measurement Tool for Construction MajorsAbstractIn online or large in-person course sections, instructors often adopt an online homework tool toalleviate the burden of grading
. Based on institutional data, FGS continue to apply to, and gain admission, to CEASbut are not matriculating at the same rate they did a decade ago. IHE who can strategicallyconnect and support all aspects of the STEM FGS experience could develop a sustainable studentapplicant pool at the same time CGS high school graduate numbers (the pool that historicallyenrolls in CEAS) are decreasing over the next decade. In combination with changing institutionalbarriers to persistence and graduation outcomes, IHE can capitalize on the assets, funds ofknowledge, and the attitude of “no choice but to succeed” that FGS bring to table. ReferencesAllaire, F. S
differences of the APLto Python. Following the “Programming lessons”, there is a series of activities to help thestudents create circuit(s) and program(s) that interact with each other.Although the course structure of ENGR 111 is the antithesis of a remote pedagogical setting,course administrators decided to redesign the ENGR 111 experience as a remote delivery due tothe reality of the Covid-19 pandemic. The definition of “remote delivery” institutionally is acourse that meets online, and synchronously. The use of the makerspace was not feasible due tothe close-proximity nature of numerous hands-on activities for as many as 96 students per class,and the provision of multiple shared tools amongst six different classes. The remote designationchallenged
and Mentoring (iAM) Program to Promote Access to STEM ProfessionsBackgroundThe Integrated Achievement and Mentoring (iAM) Program at Hofstra University (HU) respondsto the challenge of retaining a diverse STEM student population [1]. This achievement-focusedprogram provides students early access to the hidden curriculum and contextualizes supportservices in a model that is inclusive, promotes belonging, and develops student identity locally inthe STEM community and globally as part of the University community. This is an NSFScholarships in STEM (S-STEM) Track 3 (multi-institution)-funded Program built on thetheoretical framework of legitimate peripheral participation with an emphasis on inclusivity,community, and belonging
more educators aboutour curriculum in an attempt to achieve wider adoption of CS Frontiers.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grants1949472, 1949492, and 1949488. Any opinions, findings, conclusions, or recommendationsexpressed in this material are those of the authors and do not necessarily reflect the views of theNational Science Foundation.References[1] B. Broll, Á. Lédeczi, G. Stein, D. Jean, C. Brady, S. Grover, V. Cateté and T. Barnes, "Removing the Walls Around Visual Educational Programming Environments," in Proceeding of the 2021 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), St. Louis, Missouri, 2021.[2] L. Alvarez, I. Gransbury
students inthe college of engineering and college of arts and sciences. Student responses to open-endedquestions were scored manually by two trained raters in accordance with Grohs et al.’s publishedscoring guide [15]. Scores for each response were assigned and rationales recorded. An initialsample of 20% of the responses were scored individually by each rater. These scores were thencompared across raters to develop a consensus for interpreting student-generated text [16] andscoring guidelines normalized across raters. The remaining 80% of responses were split evenlybetween the two raters. This process required 50 human hours of work.Facilitated ScoringUsing the RStudio and the R Shiny package we import a spreadsheet of the raw text
. M. Jones, “Teachers’ perceptions of a maker-centered professional development experience: A multiple case study,” International Journal of Technology and Design Education, vol. 31, no. 4, pp. 697–721, 2021.[10] S. Meyers, K. Rowell, M. Wells, and B. C. Smith, “Teacher empathy: A model of empathy for teaching for student success,” College Teaching, vol. 67, no. 3, pp. 160–168, 2019.[11] C. R. Rogers et al., Freedom to learn: A view of what education might become. Merrill,, 1969.[12] S. Slater and M. Inagawa, “Bridging cultural divides: Role reversal as pedagogy,” Journal of Teaching in International Business, vol. 30, no. 3, pp. 269–308, 2019.[13] G. P. Wiggins, J. McTighe, L. J. Kiernan, and F. Frost, Understanding by