, “Transformation in the U.S. Higher Education System: Implications for Racial Equity,” presented at the Symposium on Imagining the Future of Undergraduate STEM Education, Oct. 2020.[17] K. DeGood, A. Cassady, K. Walter, and R. Frederick, “Building Progressive Infrastructure,” Center for American Progress. https://www.americanprogress.org/issues/economy/reports/2019/01/31/465687/building-pro gressive-infrastructure/ (accessed Jan. 23, 2021).[18] D. S. Hurwitz, K. L. Sanford Bernhardt, R. E. Turochy, and R. K. Young, “Transportation Engineering Curriculum: Analytic Review of the Literature,” Journal of Professional Issues in Engineering Education & Practice, vol. 142, no. 3, pp. 1–10, Jul. 2016, doi
Postdoctoral Fellow in the Department of Biomedical Engineering at Case Western Reserve University, working in the Motion Study Laboratory at the Advanced Platform Technology Center (Louis Stokes Cleveland Veterans Affairs Medical Center). There, she developed and evaluated control systems to restore standing balance after paralysis, explored experimental biomechanical and computational modeling techniques to investigate interactions between the upper extremities and walkers during static and quasi-static standing postures, and investigated the feasibility of neural stimulation to facilitate assisted transfers after paralysis. She received her Ph. D. and M. S. in Biomedical Engineering from New Jersey Institute of Technology
engineering problems but also how to lead others in the organizations. In sum,the potential to advance knowledge from this research is evident in the applicability ofengineering leadership development for both men and women engineering students.References[1] Block, K., Gonzalez, A. M., Schmader, T., & Baron, A. S. (2018). Early gender differencesin core values predict anticipated family versus career orientation. Psychological Science, 29(9),1540-1547.[2] Hill, C., Miller, K., Benson, K., & Handley, G. (2016). Barriers and Bias: The Status ofWomen in Leadership. American Association of University Women.[3] Skervin, A. E. (2015). Success factors for women of color information technology leaders incorporate America (Doctoral dissertation
Stand T ECP Systems Pendulum Test Stand P Student Project Variable Speed Single-Plane Balancer B Student Project Mechanical Wave Generator W Vibration and Waves Kit Vibration Absorber A Faculty Ball Bearing Shock Stand S Faculty Vibration Isolation I FacultyImages of the equipment are included on the following page.Images of Equipment (a) Rectilinear Test Stand (b) Torsional
table. Table 3: A small excerpt of the data collected from Trial 2.After we recorded the data for each trial, we plotted the total energy generated over time for Trial1 and Trial 2 shown in Figures 13a and 13b, respectively. The first trial generated 7.23 mJ over aflow time of 60 seconds, while the second trial generated 7.29 mJ over the same amount of time,resulting in an overall average energy generation of 7.26 mJ between the two trials. Figure 13a: Graph of Total Energy (mJ) vs. Time (s) for first sink trial Figure 13b: Graph of Total Energy (mJ) vs. Time (s) for second sink trialWe also created plots of the voltage, current, and power over time for each of the two trials. It isimportant to
science of learning and development. Applied Developmental Science, 24(2), 97-140.[3] Nasir, N. S., Lee, C. D., Pea, R., & Royston, M. M. (2021). Rethinking Learning: What the Interdisciplinary Science Tells Us. Educational Researcher, 50(8), 557-565.[4] Bean, J. C. (2011). Engaging ideas: The professor's guide to integrating writing, critical thinking, and active learning in the classroom. John Wiley & Sons.[5] Bonwell, C. C., & Eison, J. A. (1991). Active Learning: Creating Excitement in the Classroom. 1991 ASHE-ERIC Higher Education Reports. ERIC Clearinghouse on Higher Education, The George Washington University, Washington, DC.[6] Creswell, J. W., Plano Clark, V. L., Gutmann, M. L., & Hanson,W. E
the purpose of obtaining a high-quality solution under the given circumstances. For illustrative purposes only, examples of possible constraints include accessibility, aesthetics, codes, constructability, cost, ergonomics, extensibility, functionality, interoperability, legal considerations, maintainability, manufacturability, marketability, policy, regulations, schedule, standards, sustainability, or usability [7]. • Produce (student action). Make something using creative or mental skills. Perhaps also, make or manufacture from components or raw materials [8]. • Solution(s) (concept). Means of addressing or solving a problem [8]. Or action or process of solving a problem [9]. Note, the
studentswith grades in the C or C+ range persisted to graduate in STEM. Wilkins et al.’s [18] modeldemonstrated that when controlling for students’ first mathematics course, on average, the gradein their first course is a statistically significant predictor of persistence to graduation inengineering. Krause et al. [1] also found that students who made an A or B in their firstmathematics course had odds 6.5 times higher to persist than someone who received a D, F or W.Further, students receiving C grades in their first course did not differ statistically in terms ofpersistence from those making a D, F or W.Tyson [17] considered high school and college physics and calculus course-taking andachievement to predict engineering degree attainment for
(Evaluation) Anni Reinking1 and Monica M. McGill2 1,2 CSEdResearch.org 1 anni@csedresearch.org, 2 monica@csedresearch.org Abstract According to the U.S. Department of Labor, cybersecurity jobs will grow 28% over the next few years, with 1.8 million of these jobs unfilled in 2022. These reports indicate a great need for individuals to be trained and employed in cybersecurity for the U.S.’s safety and security. Recognizing this, the Air Force Junior Reserve Officer Training Corps (AF JROTC) and partner organizations implemented a Cyber
, throughout their career architectsseek approval of their designs during critiques, while civil engineers have concrete indicatorsthat let them know if a design works or not with no personal involvement. Additionally, thisfinding may also suggest that architecture students value hierarchies more because theyseek to rank themselves higher, since their work I s more explicit to the public eye.This acceptance and disapproval of hierarchies may lead to communication-related barriers. Inpractice, architects are at the top of the project hierarchy due to being the design creators. So, itmay be difficult for them to accept criticism from civil engineers who are revising the structuraland system-related components of the infrastructure. At the same time
." New directions for adult and continuing education 94 (2002): 3-11. 8. J. L. David, "Collaborative Inquiry." Educational Leadership 66.4 (2009): 87-88.9. B. Thorsten, D. Urhahne, S. Schanze, and R. Ploetzner, “Collaborative Inquiry Learning: Models, Tools, and Challenges.” International Journal of Science Education, 2010, 32 (03), pp.349-377.10. K. J. Dooley, "A complex adaptive systems model of organization change." Nonlinear dynamics, psychology, and life sciences 1.1 (1997): 69-97.11. S. Chan, "Complex adaptive systems." ESD. 83 research seminar in engineering systems. Vol. 31. Cambridge, MA, USA: MIT, 2001.12. D. J. Snowden and M. E. Boone, "A leader's framework for decision making." Harvard business review 85.11
about thespeaker’s education and career pathways, and their experiences in data science.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.2123260. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation. This project has received funding from the Alfred P. Sloan Foundation under grantnumber G-2021-16976.References[1] K. Domdouzis, P. Lake, and P. Crowther, “Big Data,” in Concise Guide to Databases: A Practical Introduction, K. Domdouzis, P. Lake, and P. Crowther, Eds. Cham: Springer International Publishing, 2021, pp. 141–163. doi: 10.1007/978-3-030
emeritusprofessor (n=2). Participants were not asked to identify their race/ethnicity during the interview.The participants were assigned a pseudonym using a random name generator to maintainconfidentiality.Table 1: Participant information Pseudonym Gender Course(s) Taught that Included Ethics/Societal Impacts Beth Woman Intro to engineering Brody Man Intro to engineering Deb Woman Intro to computer engineering Kim Woman Senior design (chemical engineering) Bill Man Senior design (electrical engineering) Elizabeth Woman Senior design (environmental engineering) Aaron Man Senior design (chemical engineering) Dan Man
tertiary teaching," Higher education research and development, 8(1), 7-25. 1989. 7. N. Entwistle and S. Waterston. "Approaches to studying and levels of processing in university students," British journal of educational psychology, 58(3), 258-265. 1989. 8. M. Prosser and R. Millar. "The “how” and “what” of learning physics," European journal of Psychology of Education, 4(4), 513-528. 1989. 9. P. Ramsden. Learning to teach in higher education. Routledge. 2003. 10. E. J. van Rossum, and S. M. Schenk. "The relationship between learning conception, study strategy and learning outcome," British Journal of Educational Psychology, 54(1), 73-83. 1984. 11. T. F. Nelson Laird, R. Shoup, and G. D. Kuh. "Measuring deep
–369, 2014.[3] S. Goldrick-Rab, Paying the Price: College Costs, Financial Aid, and the Betrayal of the American Dream. Chicago, IL, UNITED STATES: University of Chicago Press, 2016. Accessed: Mar. 25, 2020. [Online]. Available: http://ebookcentral.proquest.com/lib/vt/detail.action?docID=4519377[4] G. T. Henry, R. Rubenstein, and D. T. Bugler, “Is HOPE Enough? Impacts of Receiving and Losing Merit-Based Financial Aid,” Educ. Policy, vol. 18, no. 5, pp. 686–709, Nov. 2004, doi: 10.1177/0895904804269098.[5] B. L. Castleman, B. T. Long, and Z. A. Mabel, Financial Barriers to STEM Study in College: Causal Effect Estimates of Need-Based Grants on the Pursuit and Completion of Courses and Degrees in STEM Fields. Society for
effect ofinclusive teaching strategies on neurodivergent learners versus all learners across I-Courses.AcknowledgementsThis material is based upon work supported by the National Science Foundation underIUSE/PFE: RED Grant No. 1920761. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation. References[1] J. Singer, "Odd People in: The Birth of Community Amongst People on the Autistic Spectrum. A Personal Exploration Based on Neurological Diversity." , University of Technology, Sydney, 1998.[2] H. A. White and P. Shah, "Creative style and achievement in adults with
effectiveness of the Assistants too.References[1] Lavilles, R.Q., and Arcilla, M. J. B., Enrollment forecasting for school management system,”International Journal of Modeling and Optimization, vol. 2, no. 5, p. 563, 2012.[2] Al-Shehri, H., Al-Qarni, A., Al-Saati, L., Batoaq, A., Badukhen, H., Alrashed, S., Alhiyafi, J.,and Olatunji,S.O. “Student performance prediction using support vector machine and k-nearestneighbor,” in 2017 IEEE 30th Canadian conference on electrical and computer engineering(CCECE). IEEE, 2017, pp. 1–4.[3] Slim, A., Hush, D., Ojah, T., and Babbitt, T. “Predicting student enrollment based on studentand college characteristics.” International Educational Data Mining Society, 2018.[4] Yang, S., Chen, H.-C., Chen, W.-C and C.-H. Yang
detailed report of theadjustments made to ERSP at UIC.AcknowledgementsThe adoption of ERSP at UIC was enabled by a larger project supported by an NSF Grant(#1821501). Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1] M. Barrow, S. Thomas, and C. Alvarado, “Ersp: A structured cs research program for early- college students,” in Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education, 2016, pp. 148–153.[2] n.d., “ERSP | Instructor resources.” [Online]. Available: http://ersp.ucsd.edu/index.php/instructor-resources/. [Accessed: 28-Jan-2020].
orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.References 1. T.S. Popkewitz and L. Fendler, Critical Theories in Education: Changing Terrains of Knowledge and Politics. Psychology Press, 1999. 2. P. Layne, “Diversity by Numbers,” Leadership and Management in Engineering, vol 1 ed. (4), pp. 65-71. Oct, 2001. 3. B.M. Ferdman, “The practice of inclusion in diverse organizations,” in Diversity at work: The practice of inclusion, B. Ferdman and B. R. Deane, Ed. New York: Wiley 2014, pp 3-54. 4. R. Jost, Benchmarks for Cultural Change in Engineering Education. University of Newcastle, 2004. 5. T. Forin, B. Sukumaran, S. Farrell
infrastructure to more strongly support NTSE. Moreresearch is needed to identify what kinds of theories and models might be more appropriate forNTSE support.AcknowledgmentThis material is based upon work supported by the National Science Foundation under grantnumber 2044347 within the IUSE program. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.References 1. National Academy of Engineering (NAE) (2005). Educating the engineer of 2020: Adapting engineering education to the new century. National Academies Press, Washington D.C. 2. Lowell, B. L., & Salzman, H. (2007). Into the eye of the storm
the project summary mentioned but did not specify will be widely disseminated to academic methods of dissemination. research audiences, as well as educational practitioners and stakeholders in Example Studies: Award #2120443, 2208680, engineering and industry who share the 1653854, 1734347, 1760002, 1825328 [13-18] goal of increasing the representation of females in engineering.” [18] Category 2. Dissemination is specified: The Example Statement(s): summary discussed several specific means of dissemination. “Broad dissemination of project results
, 2012.[9] J. C. Major, A. R. Carberry, and A. N. Kirn, “Revisiting a Measure of Engineering Design Self- Efficacy*,” Int. J. ofEngineering Educ., vol. 36, no. 2, pp. 749–761, 2020.[10] E. Wenger, Communities of Practice Learning: Meaning, and Identity. Cambridge University Press, 1998.[11] J. R. Morelock, “A systematic literature review of engineering identity: definitions, factors, and interventions affecting development, and means of measurement,” Eur. J. Eng. Educ., vol. 42, no. 6, pp. 1240–1262, Nov. 2017.[12] S. L. Rodriguez, C. Lu, and M. Bartlett, “Engineering identity development: A review of the higher education literature,” Int. J. Educ. Math. Sci. Technol., vol. 6, no. 3, pp. 254–265, 2018.[13
. Forexample, participating in oral exams may affect students’ motivation to learn, and this relationshipmay not be separable from students’ personal background and identity factors (e.g., see [25] fordiscussion on academic support, oral exam experience, and student motivation).AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grant No.2044472. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation. We thank the following colleagues for the helpful discussion: Carolyn Sandoval, HeLiu, Josephine Relaford-Doyle, Leah Klement, Maziar Ghazinejad, Mia Minnes, and NathanDelson
Paper ID #37783A Case Study on Leveraging Augmented Reality forVisualization in Structural DesignAyatollah Yehia Ayatollah (Aya) Yehia is a Ph.D. student (Systems Engineering) in the i-S²EE Lab. She received her B.S. in Civil Engineering from the American University of Sharjah in Sharjah, United Arab Emirates and a MSc in Civil Engineering (concentration: Transportation Engineering) from the University of British Columbia in Vancouver, Canada. She is currently working on building a digital twin that utilizes data from multiple sensors for more holistic modeling and simulations for structural health
midway through Semester Milestones Trad #s Comp #s Fall 2019 Curriculum re-design and development of IPython 812 – notebooks for 5 computational lab assignments Spring 2020 Pilot Honors section; introduction of group work 791 24 in discussion sections of the Traditional course Fall 2020 First offering of the Computational course as a 513 253 special section of the Traditional course; develop- ment of homework and exam questions associated with lab content Spring 2021 Second offering of the Computational course as 456 420
knowledge to build a morediverse and representative future.References [1] S. Zweben, J. Tims, and Y. Timanovsky, “ACM-NDC study 2019—2020: eighth annual study of non-doctoral-granting departments in computing,” ACM Inroads, vol. 11, no. 3, pp. 26–37, Aug. 2020. [Online]. Available: https://dl.acm.org/doi/10.1145/3410475 [2] S. Zweben and B. Bizot, “2017 CRA Taulbee survey,” Computing Research News, vol. 30, no. 5, pp. 1–47, 2018. [Online]. Available: https://cra.org/resources/taulbee-survey/ [3] E. M. Mercier, B. Barron, and K. M. O’connor, “Images of self and others as computer users: The role of gender and experience,” Journal of Computer Assisted Learning, vol. 22, no. 5, pp. 335–348, 2006, publisher: Wiley Online Library. [4
] Bucak, Seyda, Zoya Tuiebakhova, and Neset Kadirgan. "Bridging the gap between chemical engineering education and industrial practice." INTERNATIONAL JOURNAL OF ENGINEERING EDUCATION 23.6 (2007): 1219. [6] Carter, T. L., & Wilson, S. A., & Azarin, S., & Brennan, J., & Karlsson, A. J., & Barr, C. (2019, June), Work in Progress: Utilizing Change Strategies and Chemical Process Safety Resources to Incorporate Process Safety Education in the Unit Operations Courses in Public and Private Universities Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2--33578 [7] Feisel, L., and Peterson, G.D., “A Colloquy on Learning Objectives for Engineering
different conceptual frameworks is possible. Students and even academicpractitioners may carry out their curricular and co-curricular duties without ever noticing oracknowledging such perspectives and their clash thereof. As a remedial alternative to neglectingconceptual frameworks altogether, it may be useful to acknowledge multiple epistemological andconceptual perspectives in PDS or more broadly curricular and co-curricular programming [22].This is because the quality of students’ professional skill development can be dependent on theconceptual and pedagogical lens that is adopted by the learner(s), supervisor, and otherindividuals involved in a learning environment such as a co-curricular experience [6].The PDS survey can in its basic form
to also understand stressors that students are experiencing thatare not directly related to their training.AcknowledgmentsA grant from the National Science Foundation (2024394) supported this study.References[1] L. O. Oyewobi, G. Bolarin, N. T. Oladosu, and R. A. Jimoh, "Influence of stress and copingstrategies on undergraduate students' performance," Journal of Applied Research in HigherEducation, 2020.[2] A. S. Negi, A. Khanna, and R. Aggarwal, "Psychological health, stressors and copingmechanism of engineering students," International Journal of Adolescence and Youth, vol. 24, no.4, pp. 511-520, 2019.[3] L. Acharya, L. Jin, and W. Collins, "College life is stressful today–Emerging stressors anddepressive symptoms in college
Education, 2023will survey engineers in industry in the southeastern region of the U. S. to determine the directand indirect benefits of training in engineering science and analysis.MethodA survey has been developed which includes questions related to the value of training inengineering science and analysis for engineering jobs. Engineers from a variety of industries inthe southeastern U.S. will be approached for completing this survey. The survey is focused onthree major areas: 1. Direct use of advanced engineering science and analysis techniques 2. Communicating with engineering analysts, specialists, and/or contractors about ad- vanced engineering science and analysis techniques 3. Making engineering decisions