). “Comparing engineering andbusiness undergraduate students’ entrepreneurial interests and characteristics,” The Journal ofEngineering Entrepreneurship, 6(2), 1-24.[11] Gilmartin, S.K., Thompson, M.E., Morton, E., Jin, Q., Chen, H.L., Colby, A., Sheppard,S.D. (2019). “Entrepreneurial intent of engineering and business undergraduate students,”Journal of Engineering Education, 108, 316–336.[12] Barth, S., Sheppard, S.D., Gilmartin, S.K. (2020). Analyzing Innovative Behavior Outcomesof Early-Career Engineering Graduates,” Proceedings of the 2020 ASEE Virtual Conference.[13] Schar, M., Gilmartin, S.K., Harris, A., Rieken, B., & Sheppard, S. (2017a). “InnovationSelf-Efficacy: A very brief measure for engineering students,” Proceedings of the 2017
International Journal, vol. 18, no. 1, pp. 10–20, Jan. 2011, doi: 10.1108/13527601111104269.[5] M.-Y. Wu, “Hofstede’s Cultural Dimensions 30 Years Later: A Study of Taiwan and the United States,” p. 10, 2006.[6] H. Murzi, T. Martin, L. McNair, and M. Paretti, “A Longitudinal Study of the Dimensions of Disciplinary Culture to Enhance Innovation and Retention among Engineering Students,” American Society of Engineering Education (ASEE) Conference. New Orleans, LA, United States, 2016. 12[7] M. Guerra, H. Murzi, J. Woods, and A. Diaz, “Understanding Students’ perceptions of Dimensions of Engineering Culture in Ecuador,” American Society
., American Society for Engineering Education (ASEE)),identity (i.e., Black Greek Letter Organizations (BGLOs), or both (i.e., National Society of BlackEngineers (NSBE)) [3]. Martin, Revelo, Stefl, Garrett, and Adams investigated the impact ofparticipating in ethnic professional organizations (NSBE and the Society of HispanicProfessional Engineers (SHPE)) at the undergraduate level [4]. However, the focus was solely onengineering related professional organizations and students who attended a predominantly Whiteinstitution (PWI).The purpose of this study is to identify counterspaces utilized by Black engineering students andthe associated values of engaging in these spaces. This study stems from a larger NationalScience Foundation (NSF) funded study
Paper ID #32562Teaching Ethical Theory and Practice to Engineering Students:Pre-Pandemic and Post-Pandemic ApproachesMs. Alexis Powe Nordin, Mississippi State University Alexis Powe Nordin is an instructor in the Shackouls Technical Communication Program in Mississippi State University’s Bagley College of Engineering. She is a member of ASEE and ASEE-SE and has taught university-level writing and communication courses since 2004.Ms. Amy K. Barton, Mississippi State University Amy Barton is the coordinator of the Shackouls Technical Communication Program in the Bagley College of Engineering at Mississippi State University
Paper ID #33302Home-based Cantilever Beam Experiment for Civil EngineeringUndergraduate StudentsMs. Sotonye Ikiriko, Morgan State University Ms. Sotonye Ikiriko is currently a Doctoral student and Research Associate in the Department of Civil Engineering, Morgan State University (MSU) in Baltimore Maryland. Prior to joining the department in January of 2019, Ms. Sotonye Ikiriko was a Graduate Research Assistant (GRA) at Tennessee State University (TSU) in Tennessee State, where she obtained her master’s degree in civil engineering. Ms. Sotonye Ikiriko obtained her Bachelor of Engineering (B.ENG) in civil engineering from
cover over 50% of the demand for wheat andother staple crops [3, 4]. The World Bank classifies Egypt as a lower middle-income country [5]with 32.5% of Egypt’s population living below the poverty line in 2019 [1]. A vast majority of95% of Egypt’s population lives in the fertile stretch of the Nile River [6], with remote desert areashaving much less access to public services, such as access to the electricity grid, water andsanitation services and suffering from higher transportation prices for goods and long distances tomarkets.Boosting local food production in Egypt is limited by resource scarcity, particularly water scarcityand a lack of fertile, arable land, as 93% of the country is desert. Egypt’s arid climate with closeto no rainfall means
Science Foundation, National Center for Science and Engineering Statistics. 2017. Women, Minorities, and Persons with Disabilities in Science and Engineering: 2017. Special Report NSF 17-310. Arlington, VA. [2] Blanchard S, Judy J, Muller C, Crawford RH, Petrosino AJ, White CK, Lin FA, Wood KL. “Beyond Blackboards: Engaging Underserved Middle School Students in Engineering”, J Precoll Eng Educ Res. 2015;5(1):2 [3] Thomas SW., Campbell SW., Subramanyam MD., Ellerbrock CR., “Contemporary STEM Issues: Engineering Training of Pre-Service Teachers for Middle School STEM Curriculum Development (Evaluation)”, 2019 ASEE Annual Conference & Exposition. [4] De
the Journal for Engineering Education, an Associate Editor of the IEEE Transactions on Education, and past chair of the Educational Research and Methods Division of ASEE. She founded the Center for Research on Learning and Teaching in Engineering at U-M in 2003 and served as its Director for 12 years. Prior to joining U-M, Dr. Finelli was the Richard L. Terrell Professor of Excellence in Teaching, founding director of the Center for Excellence in Teaching and Learning, and Associate Professor of Electrical Engineering at Kettering University. Dr. Finelli’s current research interests include student resistance to active learning, faculty adoption of evidence-based teaching practices, and the use of technology
Paper ID #32620Work in Progress: Developing Undergraduate Research Experiences inUnmanned Aircraft Systems (UAS) CybersecurityDr. Matthew A. Verleger (He/His/Him), Embry-Riddle Aeronautical University Matthew Verleger is an Associate Professor of Engineering Fundamentals at Embry-Riddle Aeronautical University in Daytona Beach, Florida. His research interests are focused on using action research method- ologies to develop immediate, measurable improvements in classroom instruction and on the development of software tools to enhance engineering education. Dr. Verleger is an active member of ASEE, having served as the
introductorydynamics,” in ASEE Annual Conference & Exposition, Tampa, Florida, 2019.[6] C. A. Moulton, A. Dubrowski, H. Macrae, B. Graham, E. Grober, and R. Reznick,“Teaching surgical skills: what kind of practice makes perfect?: a randomized, controlledtrial,” Annals of surgery, 244(3), 400-409, 2006.[7] K. A. Ericsson, “Acquisition and maintenance of medical expertise,” Academic Medicine,90(11), 1471-1486., 2015.[8] S. Andersen; P. Mikkelsen, L. Konge, P. Caye-Thomassen, and M. S. Sørensen, “Cognitiveload in distributed and massed practice in virtual reality mastoidectomy simulation,” TheLaryngoscope, 126(2), E74-E79, 2016.[9] J. v. Merrienboer, P. A. Kirschner, Ten Steps to Complex Learning: A Systematic Approachto Four-Component
, propose design iterations,and justify those changes. Students were creative in their responses and engineering designthinking, often going beyond the scope of the initial problem. In addition, we saw the potentialinfluence of the engineering curriculum and small group collaboration on student responses.AcknowledgementsWe are deeply grateful to the participating teachers and students for sharing their time and ideaswith us. This study was supported by the National Science Foundation ITEST program (grantnumber 1657218). We acknowledge the chair and reviewers from the PCE division of ASEE fortheir thoughtful feedback.References[1] NGSS Lead States. 2013. “Next Generation Science Standards: For States, By States.” Washington, DC: The National
- testing-of-an-instrument-to-understand-engineering-doctoral-students-identities-and- motivations[30] Z. Zhao et al., “Design and Development: NSF Engineering Research Centers Unite: Developing and Testing a Suite of Instruments to Enhance Overall Education Program Evaluation,” presented at the 2021 ASEE Virtual Annual Conference, Jul. 2021.[31] M. W. Ohland et al., “Board 95: Expanding Access to and Participation in MIDFIELD (Year 3),” Atlanta, United States, Jun. 2019. Accessed: Mar. 07, 2021. [Online]. Available: https://search.proquest.com/docview/2314032679?pq-origsite=primo&
, 2011.[11] A. R. Sloboda. “The effect of context on student perceptions of homework-style problems in engineering,”Proceedings of ASEE Annual Conference, Tampa, FL, 2019.[12] D. J. Inman, Engineering Vibration 4th Ed. Upper Saddle River, NJ: Pearson Education, pp. 447, 2014.
standards-based grading in engineering courses.”,Proceedings of the ASEE Annual Conference and Exposition, 2016.[4]. L. M. Fritschner, “Inside the Undergraduate College Classroom,” The Journal of HigherEducation, vol. 71, no. 3, pp. 342–362, 2000.[5]. L. R. Murillo-Zamorano, J. Á. L. Sánchez, and A. L. Godoy-Caballero, “How the flippedclassroom affects knowledge, skills, and engagement in higher education: Effects on students'satisfaction,” Computers & Education, vol. 141, p. 103608, 2019.[6]. R. Ptucha and A. Savakis, “How connections matter: factors affecting student performancein stem disciplines,” IEEE 2nd Integrated STEM Education Conference, 2012.[7]. R. M. Felder, R. Brent, and M. J. Prince, “Engineering instructional development
trends in projects and team functionality. Trends, results, and observed practices on thetechnical design side have been documented by the authors in the following papers: Solnoskyand Fairchild [24], Solnosky and Parfitt [25], and Solnosky et al. [26].Research Approach The results presented in this paper were gathered from an Architectural Engineering (AE)capstone program at Penn State over the last 10 years (2010-2019, Year ‘20 & ‘21 wereexcluded). Student cohorts are 5th year standing AEs in either the Bachelor of ArchitecturalEngineering (BAE) degree program or the integrated Bachelor of Architectural Engineering /Master of Architectural Engineering (BAE/MAE). Here, the capstone is a year-long, two coursecumulating experience that
Chair for the IEEE Conference on Automatic Face and Gesture Recognition (FG) 2018 and 2020. His work on automatic facial expression analysis by computer vision algorithms was featured in Motor Trend Magazine in 2014, 2015 and 2016 for the Best Driver Car of the Year event. Dr. Cruz obtained a few awards for dissemination of research to the greater public (NSF Com- munity Award (2013) and NSF Judges Choice Award (2012) in NSF IGERT Video/Poster Competition). He is a member of the American Society for Engineering Education (ASEE), the Association for Com- puting Machinery (ACM), the Institute of Electrical and Electronics Engineers (IEEE), and the American Society of Agricultural and Biological Engineers (ASABE
(International Flavors and Fragrances) prior to his current role. He served on the executive committee of the ASEE Women in Engineering division from 2010 to present.Dr. Michael D. Johnson, Texas A&M University Dr. Michael D. Johnson is a professor in the Department of Engineering Technology and Industrial Distribution at Texas A&M University. Prior to joining the faculty at Texas A&M, he was a senior product development engineer at the 3M Corporate Research Laboratory in St. Paul, Minnesota. He received his B.S. in mechanical engineering from Michigan State University and his S.M. and Ph.D. from the Massachusetts Institute of Technology. Dr. Johnson’s research focuses on engineering education; design tools
Evaluation Association affiliate organization and is a member of the American Educational Research Association and American Evaluation Association, in addition to ASEE. Dr. Brawner is also an Exten- sion Services Consultant for the National Center for Women in Information Technology (NCWIT) and, in that role, advises computer science and engineering departments on diversifying their undergraduate student population. She remains an active researcher, including studying academic policies, gender and ethnicity issues, transfers, and matriculation models with MIDFIELD as well as student veterans in engi- neering. Her evaluation work includes evaluating teamwork models, broadening participation initiatives, and S-STEM and
, “Chemical Engineering Major Selection Throughout the First Year: A Mixed-Methods Approach,” in ASEE Annual Conference & Exposition, 2018.[8] X. Chen, C. E. Brawner, M. W. Ohland, and M. K. Orr, “A Taxonomy of Engineering Matriculation Practices,” in Proceedings of the American Society for Engineering Education Annual Conference & Exposition, 2013.[9] M. K. Orr, C. E. Brawner, S. M. Lord, M. W. Ohland, R. A. Layton, and R. A. Long, “Engineering Matriculation Paths: Outcomes of Direct Matriculation, First-Year Engineering, and Post-General Education Models,” in Proceedings of the IEEE Frontiers in Education Conference, 2012.[10] C. E. Brawner, M. M. Camacho, R. A. Long, S. M. Lord, M. W
during the design process. It does not directly measure changes in how theyapproach the process, but instead measures changes in how they describe and conceptualize theirapproach. This is a limitation of our research methods.Scoring ProcedureResponses from students enrolled in the Spring 2018 and Spring 2019 offerings of SEED Labwere scored. In Spring 2018, 18 students completed both the pre and the post case studies and 31students completed both in Spring 2019, for a total sample size of 49. Each of these studentscompleted both the pre and the post case study, for a total of 98 case study responses. TABLE 1 SCORING RUBRIC
persuasion, and Dimension 5: Abstract vs. non-abstractinformation. In the academic year (AY) 2019-2020, total of 97 student artifacts (N = 97) werecollected. For this analysis, we grouped documents into similar assignment genres: research-papers (n = 28), technical reports and analyses (n = 5), and engineering laboratory reports (n =35), with individual engineering students represented at least once in the laboratory report andonce in another category. Findings showed that engineering lab reports are highly informational,minimally-persuasive, and featured more immediate elaboration on claims and data. Conversely,students’ research papers in academic writing courses were highly involved, highly persuasive,and used deferred elaboration. The analyses
Paper ID #32621Project-based Learning in a Persistent COVID-19 EnvironmentCade FleaherMr. Dechathon Suwanakeree, United States Military AcademyMr. Scott Amos CollinsGeoff KirkMr. Antonio La TorreLt. Peyton James PisacaneLt. Col. Kevin P. Arnett P.E., United States Military Academy LTC Kevin Arnett is a fifth year Assistant Professor at the US Military Academy. He received his B.S. in Civil Engineering from USMA in 2001, his M.S. Civil Engineering from U.C. Berkeley in 2011, and his PhD in Structural Engineering from UCSD in 2019. He teaches structural analysis and design of steel structures, and is a licensed Professional
, W.F. Denetclaw, C.G. Gutiérrez, S. Hurtado, G.H. John, J. Matsui, R. McGee, C.M. Okpodu, T.J. Robinson, M.F. Summers, M. Werner-Washburne, & M. Zavala. “Improving underrepresented minority student persistence in STEM.” CBE Life Sciences Education, vol. 15(3), pp. 1-10, 2016.[5] L.V. Garcia-Felix. “Latinos not engaging in science, technology, engineering and mathematics (STEM) careers.” Journal of Academic Perspectives. Vol 4, pp. 1-21, 2019.[6] D. Hernandez, S. Rana, A. Rao, & M. Usselman. “Dismantling stereotypes about Latinos in STEM.” Hispanic Journal of Behavioral Sciences, vol. 39(4), pp 436-451, 2017.[7] C. Peralta, M. Caspary, & D. Boothe. “Success factors impacting Latina/o
risk toAfrican-American defendants than to Caucasian defendants (Larson, Mattu, Kirchner & Angwin,2016). New York City Department of Transportation (NYCDOT) has employed the ManhattanTraffic Model that fails to disaggregate transportation data by gender (Perez, 2019), therebyplacing an extra burden on caregivers, predominantly female care workers, who must take multiplebuses to navigate the city's periphery. Software systems used for policing that deploy predictivealgorithms like Chicago's Strategic Subject List (SSL) disproportionately target African Americanindividuals and neighborhoods for increased policing (Brayne 2017; Ferguson 2017; Karppi 2018;Sheehey 2018). The significance of systems that are engineered by technologists for
analytics and their relation with performance in VLE-supported F2F and online learning,” Comput. Hum. Behav., vol. 31, pp. 542–550, Feb. 2014, doi: 10.1016/j.chb.2013.05.031.[15] B. Hui and S. Farvolden, “How Can Learning Analytics Improve a Course?,” in Proceedings of the 22Nd Western Canadian Conference on Computing Education, New York, NY, USA, 2017, p. 1:1-1:6, doi: 10.1145/3085585.3085586.[16] C. Brozina and D. Knight, “Learning Management Systems: What More can we Know?,” in 2015 ASEE Annual Conference and Exposition Proceedings, Seattle, Washington, Jun. 2015, p. 26.1072.1-26.1072.14, doi: 10.18260/p.24409.[17] E. Duval et al., “Learning dashboards & learnscapes,” Educ. Interfaces Softw. Technol., pp. 1–5, Jan
: using a randomised control trial to estimate the impact of an at-home lab kit on student attitudes and achievement in a MOOC,” European Journal of Engineering Education, vol. 44, no. 1-2, pp. 234-252, 2019.[5] J. Donnell, P. Varney, D. MacNair, A. Ferri, “Optimizing Efficiency and Effectiveness in a Mechanical Engineering Laboratory using Focused Modules,” in Proceedings of ASEE Annual Conference & Exposition, Columbus, Ohio, June 2017.[6] J. Ma and J. Nickerson, “Hands-On, Simulated, and Remote Laboratories: A Comparative Literature Review,” ACM Computing Surveys, vol. 38, no. 3, 2006.[7] M. Koretsky, C. Kelly, and E. Gummer, “Student Perceptions of Learning in the Laboratory: Comparison of Industrially Situated Virtual
diversity-focused nature that promotesresearch collaboration across different types of institutions. ICTAS expects the partnerships toresult in research proposals and the hope is that collaborative partners at Virginia Tech andHBCUs/MSIs maintain their working relationships beyond the duration of funded partnership.During the last three years (2016-2019), 50 awards of $10k were made to help build and fostercollaborative efforts between Virginia Tech faculty and HBCUs/MSIs partners. As a result,twenty-three different HBCUs/MSIs and at a minimum of 38 distinct collaborative pairs wereinvolved in the program. Within Virginia Tech, six colleges and four centers/institutes wereinvolved with the ICTAS D&I Investment, with most of the awards
influences (e.g., weather). Where students might havepreviously been focused on using a written report to regurgitate a standard procedure and presenta single data point with weak contextual connections, here they were able to fit their data puzzlepiece into a larger picture and work collaboratively to hypothesize broader meaning behind it.Evaluating Effectiveness of the Rotational ScheduleOutside of subjective feedback from the instructor and students, the relative newness of theprogram has made more quantitative comparisons with a pre-pandemic lab experiencechallenging. The first iteration of the Introduction to Environmental Engineering course andlaboratory were run during the Summer 2019 semester, as the new laboratory space was beingoutfitted