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
, ahigh Particle Density increases the synthetic image generator runtime drastically. To resolve thisissue, we constructed clean() functions in our Form objects to set a boundary condition for allour variables to within general limits of PIV data collection and analysis (e.g., region sizes mustbe between 8 and 128 pixels). The Django form and field validation evaluates users’ inputs andinserts these inputs into the synthetic image generator to produce a list of graphs and values.The synthetic image generator creates a Python class object from a utils.py file that contains alist of resulting graphs (the correlation plane and images) and PIV analysis values (r, s, signal tonoise ratio, and error values). A Django Model (a single, definitive source
felt comfortable engaging with. But I think that {University Affiliate 4}'s a very ... She has the principles of kind of community development and knowing that it has to sort of stem from within them. (University Affiliate 6) Another partner identified how important it was to have genuine relationships developedwithin the context of the partnership and how having everyone on the same page helps withdecision making and trust among partners: And I think that it speaks to {University Affiliate 4} but it also just speaks to that we've developed genuine relationships with some of the teachers over time. And how it's amazing to me how important that is. (University Affiliate 3) In the context of this
Computational Model. This dependence ontheir code for Graphical/Virtual Model was incorporated because many students discussedcomputer programs along with CAD programs. Also, students’ responses that included “simulat”for simulation/s, simulating, simulate/d, etc. were coded as Computational Models. Students’responses that included both input and output were coded as Computational Models. Along witha core feature of simulations, the keyword “interactive” was also considered, but this alone wasnot coded as Computational Models because it led to too many false positives in the coding. Thelast keyword that led to a response being coded as a Computational Model was computational.Financial/Business ModelsIn the Fall 2019 and Spring 2020 analyzed data, there
Interest in Scientific Communication 5 Strongly Agree, Agree, Disagree, Strongly Disagree Expectations from experience 7 Very Likely, Likely, Unlikely, Very Unlikely Future career/education plans 11 Yes, No Reason(s) for participation 2 1-7 (Highly Dissatisfied to Highly Satisfied) Overall SatisfactionAnalysisOf the original 9 participants, 1 student completed only the pre- and mid-project surveys,disengaging from the project in the middle of the Spring term. Two (2) students completed thepre-, mid-, and Year-1 surveys and six (6) completed all 4 iterations of the survey. Graphs weregenerated to
community and the economy”.In the context of this research, the success of a person’s employment outcome is dependent onabout 5 factors: 1. Whether they were able to gain computing employment: Getting employed in a computing job is seen as a successful employment outcome whereas getting employed in a non-computing position is seen as an unsuccessful outcome, in the context of this research13-14. 2. How soon they were able to gain their computing employment: After college, it takes the average graduate three to six months to get a job15. Within this research, a person who gets employed within a year of the completion of their educational program(s) is seen as successful whereas a person who gains their computing
engineering isnot important or that they are not intelligent enough, a better understanding of engineering’simportance and increased confidence in one’s engineering skills and knowledge couldeventually encourage students to consider engineering as a potential career path.Additionally, integrating engineering education into the K-12 curriculum would allow for amore seamless transition between studying engineering at the K-12 level and at theundergraduate level. Furthermore, Yeter et al.’s study (2022) reveals that engineering indicesare already present across the pre-college physics curriculum in Singapore. The study alsoidentifies entry points to introduce engineering education into the curriculum and integrateengineering practices into existing
meta-analysis of training studies,” Psychol. Bull., vol. 139, no. 2, pp. 352–402, 2013, doi: 10.1037/a0028446.[7] C. Dawson, “Tackling limited spatial ability: Lowering one barrier into STEM?,” Eur. J. Sci. Math. Educ., vol. 7, no. 1, pp. 14–31, Jan. 2019, doi: 10.30935/scimath/9531.[8] S. Hsi, M. C. Linn, and J. E. Bell, “The role of spatial reasoning in engineering and the design of spatial instruction,” J. Eng. Educ., vol. 86, no. 2, pp. 151–158, Apr. 1997, doi: 10.1002/j.2168-9830.1997.tb00278.x.[9] J. Wai, D. Lubinski, and C. P. Benbow, “Spatial ability for STEM domains: Aligning over 50 years of cumulative psychological knowledge solidifies its importance,” J. Educ. Psychol., vol. 101, no. 4, pp. 817–835, Nov. 2009, doi
arithmetic operations in analytically-defined functions as operations on functions wouldseem to prepare them for a deeper understanding of this aspect of the calculus. At the same time,a conception of operations in expressions as operating on numbers and not on functions wouldseem to be an obstacle to understanding the derivative and integral as linear operators. These areempirically testable hypothesis; I would welcome research on them...In this paper the obstacles faced by the participants while solving two Riemann integral relatedquestion calculations are described and analyzed by using the schema development idea in [2].By relying on Piaget`s study of functions in 1977 [4], the Action-Process-Object idea inmathematics education for the
Institute.References[1] National Society of Professional Engineers, “Code of Ethics for Engineers,” no. July. 2019.[2] N. J. Moore, “Analysis of Student Perception in Thermodynamics,” 2020.[3] D. Dunning, The dunning-kruger effect. On being ignorant of one’s own ignorance, 1st ed., vol. 44. Elsevier Inc., 2011.[4] S. Pazicni and C. F. Bauer, “Characterizing illusions of competence in introductory chemistry students,” Chem. Educ. Res. Pract., vol. 15, no. 1, pp. 24–34, 2014.[5] D. Caputo and D. Dunning, “What you don’t know: The role played by errors of omission in imperfect self-assessments,” J. Exp. Soc. Psychol., vol. 41, no. 5, pp. 488–505, 2005.[6] S. Pavel, M. Robertson, and B. Harrison, “The Dunning
our department, Dr. Hanna Song, the former Senior Director for Inclusion &Diversity at Caltech, for her invaluable guidance in developing the program and for providingfacilitator training, Miles Chan, Narravula (Harsha) Reddy, & Peter Renn, graduate students inAerospace Engineering, for facilitating discussions, and all our wonderful speakers forcontributing their time, energy, and wisdom to the course.References[1] S. Chen, “Researchers around the world prepare to #ShutDownSTEM and ‘Strike For Black Lives’.” https://www.science.org/content/article/researchers-around-world-prepare-shutdownstem-and-strike -black-lives (accessed Feb. 03, 2022).[2] “#ShutDownAcademia #ShutDownSTEM,” #ShutDownAcademia #ShutDownSTEM
–359, 2012. [6] N. Shin, D. H. Jonassen, and S. McGee, “Predictors of well-structured and ill-structured problem solving in an astronomy simulation,” Journal of Research in Science Teaching, vol. 40, no. 1, pp. 6–33, 2003. [7] H. J. Passow, “Which ABET competencies do engineering graduates find most important in their work?” Journal of Engineering Education, vol. 101, no. 1, pp. 95–118, 2012. [8] Q. Symonds, “The global skills gap in the 21st century,” 2018. [Online]. Available: https://www.qs.com/portfolio-items/the-global-skills-gap-in-the-21st-century/ [9] C. Grant and B. Dickson, “Personal skills in chemical engineering graduates: the development of skills within degree programmes to meet the needs of employers,” Education
good experimentalist, though, willcarefully plan the experiment, considering how to tell if the results of the experiment aretrustworthy and, furthermore, providing a quantitative estimate of how trustworthy they are. Thisis where the idea of quantifying experimental uncertainties becomes useful.Quantifying Experimental UncertaintiesAn experimental measurement should always be reported along with an uncertainty estimate(e.g. 𝑔 = 9.7 ± 0.5 m/s 2 ). The idea behind an uncertainty estimate is that the true value of theresultant – in this case g - is never actually known; an uncertainty estimate is intended to providean upper and lower bound on where the true value is expected to fall. Uncertainty is inherent inthe process of taking experimental
assessment specific to fluid mechanics,” in 2016 ASEE Annual Conference & Exposition, 2016.[2] J. M. Bekki, M. Huerta, J. S. London, D. Melton, M. Vigeant, and J. M. Williams, “Opinion: Why EM? the potential benefits of instilling an entrepreneurial mindset.” Advances in Engineering Education, vol. 7, no. 1, p. n1, 2018.[3] J. L. Gorlewicz and S. Jayaram, “Instilling curiosity, connections, and creating value in entrepreneurial minded engineering: Concepts for a course sequence in dynamics and controls,” Entrepreneurship Education and Pedagogy, vol. 3, no. 1, pp. 60–85, 2020.[4] “Engineering unleashed powered by KEEN,” https://engineeringunleashed.com, accessed: 2022-02-12.[5] M. Nasir, J. Seta, and E. G. Meyer, “Introducing high
, "Socialization Processes of Engineering Students: Differences in the Experiences of Females and Males," Administrative Issues Journal: Education, Practice & Research, vol. 2, no. 1, pp. 96-106, 2012.[3] C. C. De Cohen and N. Deterding, "Widening the Net: National Estimates of Gender Disparities in Engineering," Journal of Engineering Education, vol. 98, no. 3, pp. 211-226, 2009.[4] M. Borrego, "Feminist Theory in Three Engineering Education Journals: 1995-2008," Journal of Engineering Education, vol. 100, no. 2, pp. 281-303, 2011.[5] T. Swartz, A. Palermo, S. Masur and J. Aberg, "The Science and Value of Diversity: Closing the Gaps in Our Understanding of Inclusion and Diversity," Journal of Infectious Diseases, vol. 220, pp
ing Web application and the one of an IoT system? 5 Preferred learn- What is/are the method(s) that helped you better learn software ing method architecture?methods, and critical thinking) is to specify a set of closed questions (e.g., using Likertscale and variable categories) and use inference statistics techniques. Since, we do notknow the different categories for each of the dependent variables, we conducted aqualitative study. The study uses students’ free-text responses to a questionnaire as thedata source. We discuss the preparation of the study, the data collection, and the dataanalysis activities.Preparation of the study. We discussed the course with colleagues and identified a setof factors that we
, creating MS PowerPoint slideshighlighting members of the National Society of Black Engineers (NSBE), and creating a tutorialvideo for coding a rock-paper-scissors game. The following paragraphs provide additionaldescriptions of the projects. Please note that any identifying information about the students andparticipants has been excluded from the descriptions.Student 1 interviewed three members of the Society of Hispanic and Professional Engineers(SHPE) from Student 1's university. The interviews were about the members' perspectives andexperiences as underrepresented minorities pursuing engineering degrees. Student 1 thensummarized the main findings from the interviews and presented them to approximately 20students in a high school that educated
-personversus virtual delivery.5. ReferencesBauer, K. W., & Bennett, J. S. (2003). Alumni perceptions used to assess undergraduate research experience. The Journal of Higher Education, 74(2), 210-230.Cox, M. F., & Andriot, A. (2009). Mentor and undergraduate student comparisons of students’ research skills. Journal of STEM Education: Innovations and Research, 10(1).Lopatto, D. (2007). Undergraduate research experiences support science career decisions and active learning. CBE—Life Sciences Education, 6(4), 297-306.NSF. (2019a). Research Experiences for Undergraduates (REU). Retrieved from https://beta.nsf.gov/funding/opportunities/research-experiences-undergraduates-reuNSF. (2019b). Research Experiences for
based on theevaluation results as needed.We are in year 3 of this project and we will continue executing the project goals and other activities. Weplan to present the final findings of the project in another NSF poster session.AcknowledgementCurrent funding for this project has been provided by the National Science Foundation through awards –award number HRD-1912085, and award number HRD 1912284. Additional resources were providedby SC State University. The author wish to acknowledge and thank NSF and SC State University for thisgrant support.References[1]. Top U.S Universities failing at Cybersecurity Education. Retrieved from https://www.cio.com/article/3060813/it-skills-training/top-u-s-universities-failing-at-cybersecurity