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
interactions. After analyzingthe results of Phase 2, we have been constructing a series of narratives to present findings fromboth Phases related to pertinent themes.The participants in this study included seven individuals who were enrolled in STEM programsseeking a master’s and/or doctoral degree(s) at universities with varying levels of research2 Multidimensionality is an analytical framework for understanding how the interdependentsystems of oppression and privilege interconnect, compound, conflict, and overlap in a person’sexperience afforded by the convergence and divergence of the individuals’ socio-culturalcategorizations, capital, and community cultural wealth.3 AFAB is an acronym used in the queer community to describe people who were
objectives and cognitive load. Literature is also silent on howmany learning objectives are pursued in a typical laboratory activity.Consequently, relating laboratory activities to cognitive load requires more work. Theoreticaland qualitative work can define better categorizing features of a laboratory, and ensure thosefeatures predict learning and perceptions of difficulty. Quantitative work can probe theunsupported relationships in the logic model. Finally, specialization is probably a widespreadbehavior, and more work qualitative and quantitative should document stories of specialization,the conditions that create specialization, and how specialization affects learning.REFERENCES[1] E. Byrnes, Y. A. Mahsud, S. Rosen, and M. Spencer, “A Survey
problem would be remained.”Impact of the S-L project on student performanceA comparison of exam 3 grades for Cohort 1 was performed. Exam 3, unlike the previous exams,was administered within a week after the service-learning project was completed. The final examwas not considered since exemptions were granted for high achieving students, which includedmany students that participated in the service-learning project. The exam 3 results, presented inFig. 4, were split into three groups: S-L project, case study, and no project. The S-L projectgroup were Cohort 1 students (12 total), the case study group (10 total) were given a columndesign project assignment, and the no project group (32 total) chose to do neither S-L nor casestudy project
in 2016 [16][17] [18]. “YOLO” network allows multiple object recognition at high accuracy [19]. Multipleversions of YOLO networks are implemented, including version 4 (YOLOv4) on the darknetplatform, and version 5 (YOLOv5), which is integrated into ROS [20]. 2022 ASEE Annual Conference & Exposition Minneapolis, Minnesota, USA, June 26-29, 2022 Wang, Y., Zhang, Z., Chang, Y.YOLOv5 contains four types of architectures which are named with suffix s for small, m formedium, l for large, and x for extra-large, according to the number of residual units in CSP1_X,CBL in CSP2_X, and convolutional kernel number.Simultaneously localization and mapping
. High water cooling rates can be achieved with ~50 °C water, eliminating the need to usehotter fluid, which would introduce safety concerns. The water flow rate can be varied betweenapproximately 10-30 mL/s by adjusting the quarter-turn valve on the pump assembly, and the airvelocity can be changed by adjusting the power supplied to the fan, either by using batteries withdifferent voltages or by changing the resistance from the battery to the fan. The evaporativecooler set-up shown in Figure 2 operates in non-steady state recycle mode, as the water isrecycled continuously out of and back into the reservoir, resulting in temperature changes overtime. However, if separate, large water supply and collection basins are used instead of a singleone
and beliefs thatbest predict help-seeking intention in undergraduate engineering students. Findings will help toidentify empirically driven targets for interventions aimed at improving help-seeking inundergraduate engineering students.AcknowledgmentsA grant from the National Science Foundation (#2024394) supported this study. This grant wasfunded through the Research Initiation in Engineering Formation program.References[1] S. K. Lipson, S. Zhou, B. Wagner, K. Beck and D. Eisenberg, "Major differences: Variationsin undergraduate and graduate student mental health and treatment utilization across academicdisciplines." Journal of College Student Psychotherapy, vol. 30, no. 1, pp. 23-41, 2016.[2] D. Eisenberg et al., "The Healthy Minds Study
, girls were found to draw male scientists three times more often than female scientists[31]. Similar trends were found in Capobianco et al.’s [23] study. About 40% of the engineersthat first grade girls drew were female and about 30% were male, but when examining thedrawings of fifth grade girls, just under 60% drew male engineers and about 30% drew femaleengineers. Given the age of the participants, previous research suggests it is likely that theywould draw male engineers.The study took place in the context of a Girl Scout troop environment. This may have influenced theparticipants’ conception of engineers for several reasons. First, the national Girl Scout organizationrecently began a significant focus on STEM opportunities within the
describesthe geometry of the deformed lamina. Only the essential results of the analysis are presentedhere. The solution yields expressions for the height h and the span s in terms of two parameters,related to the slope α at the ends:𝑘 ≡ sin ≡ sin 𝜃 which is dimensionless, and a second related to the applied force (2) P and the bending stiffness, EI.E = modulus of elasticity or Young’s modulusI = moment of inertiac ≡ (EI ∕ P)1/2 which has the dimensions of length. (3)The solution gives:s = 2c⋅[2F1(k) – F2(k)] (4a)h = 2ck
insight into how well this framework impresses on them. The sum of thesefindings will provide the foundation for scaled infusion of EOP throughout the curriculum andpotential adoption of this approach across many engineering and design programs.REFERENCES[1] N. A. of Engineering, The Engineer of 2020: Visions of Engineering in the New Century. 2004.[2] “Engineering for One Planet,” Engineering For One Planet, 2020. https://engineeringforoneplanet.org/.[3] United Nations, “The 17 Sustainable Development Goals,” sdgs.un.org, 2015.https://sdgs.un.org/.[4] I. S. Rampasso, R. Anholon, D. Silva, R. E. Cooper Ordóñez, O. L. G. Quelhas, and L. A. D. Santa-Eulalia, “Developing in engineering students a critical analysis about
theassessments, so students could examine the problems proposed by their peers and review thesolutions. Furthermore, we will form focus groups and interview students to use them as asupplementary data collection tool.References[1] S. D. Brookfield, “Self-Directed Learning,” in International Handbook of Education for the Changing World of Work: Bridging Academic and Vocational Learning, R. Maclean and D. Wilson, Eds. Dordrecht: Springer Netherlands, 2009, pp. 2615–2627.[2] M. S. Knowles, “Self-Directed Learning: A Guide for Learners and Teachers.,” 1975, Accessed: Jan. 19, 2021. [Online]. Available: https://eric.ed.gov/?id=ED114653.[3] F. Amaliyah, Y. L. Sukestiyarno, and M. Asikin, “Mathematical Problem Solving Ability in Self-Directed
to create presentations to other 4.26 4.67 0.24 teachers/professionals at meetings about your summer learning(s)*p ≤ 0.05** p ≤ 0.01*** Bonferroni adjusted p=0.05/12 ≤ 0.004Effect size: .1 to .29 small, .3 to .49 medium, and larger than .5 large [27] The 2019 survey included questions about participants’ comfort level in performing thetasks listed in Table 3. The overall increase in teachers’ comfort in performing tasks related tocurriculum development and inclusion of engineering and scientific research in their classactivities, suggests that the program had a positive impact with some statistically significant gains.“Creating problems with multiple solutions” (p ≤ 0.01), “Presenting
," Nursing Standard, vol. 23, no. 40, pp. 35-40, 2009.[3] H. A. Simon, "Making management decisions: The role of intuition and emotion," Academy of Management Perspectives, vol. 1, no. 1, pp. 57-64, 1987.[4] S. E. Dreyfus and H. L. Dreyfus, "A Five-Stage Model of the Mental Activities Involved in Directed Skill Acquisition," California University Berkley Operations Research Center, No. ORC-80-2, 1980.[5] J. Bransford, A. L. Brown and R. R. Cocking, How People Learn: Brain, Mind, Experience, and School, Expanded ed., Washington, DC: National Academy Press, 2000.[6] M. Chi, R. Glaser and M. J. Farr, The Nature of Expertise, Hillsdale, NJ: Lawrence Erlbaum Associates, 1988.[7] C. M. Seifert, A. L. Patalano, K. J. Hammond and T. M
Testing and13 Pressure: A Self-Determination Theory Perspective," in Building Autonomous Learners:14 Perspectives from Research and Practice using Self-Determination Theory, W. C. Liu, J.15 C. K. Wang, and R. M. Ryan Eds. Singapore: Springer Singapore, 2016, pp. 9-29.16 [3] N. T. Butz, R. H. Stupnisky, R. Pekrun, J. L. Jensen, and D. M. Harsell, "The impact of17 emotions on student achievement in synchronous hybrid business and public18 administration programs: A longitudinal test of control‐value theory," Decision Sciences19 Journal of Innovative Education, vol. 14, no. 4, pp. 441-474, 2016.20 [4] M. Hastie, I. C. Hung, N. S. Chen, and Kinshuk, "A blended synchronous learning
online classes.Participating instructors also discussed various strategies to overcome these barriers during thefocus group setting. Our research team is currently working to also identify these strategies andtheir effectiveness in overcoming barriers to using active learning in online teaching.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant NoDUE-1821488. 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. Dancy, C. Henderson, &, C. Turpen, (2016). How instructors learn about and implementresearch-based instructional strategies: The
material is based upon work supported by the United States Agency forInternational Development (USAID) under Grant No. USAID-Egypt NFO:72026318RFA00002. Any opinions, findings, conclusions, or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect USAID's views.References[1] J. Yang, C. Schneller, and S. Roche, The role of higher education in promoting lifelong learning. UNESCO Institute for Lifelong Learning in Hamburg, 2015.[2] B. Karleuša, A. Deluka-Tibljaš, N. Ožanić, and S. Ilić, "The Role of Higher Education in Developing Awareness about Water Management," in 11th International Symposium on Water Management and Hydraulic Engineering-WMHE 2009, 2009.[3] S. S. Ashraf, S
librarianexperience and interest in acquiring knowledge, skills and abilities in data management [7]; anda willingness to innovate, take risks and experiment [8, 9]. On an interpersonal level, it requiresdeveloping and sustaining trusted relationships between the data or liaison/subject librarian(s)and researchers [9]. At the organizational level, the support of library administration andinstitutional prioritization of data services are critical factors [8].The depth and duration of these interactions with researchers may range from shorter-term“project-based” interactions [9], to “deep dives” into the data practices of an individual or team[10, 11], to long-term, “program-based” relationship-building and collaborations with a programor department [7].Some
conductors.By 1960, a new "light pipe" was being transformed from trivialcuriosity to an important optical device. Bundles of verythin glass fibers were being produced which were both flexibleand transparent. Thus we had a flexible light pipe thatcould look around corners and see things that were hiddenfrom view. In proposing that glass fibers had a directapplication as a fiberscope for examining interior parts ofthe body, Narinder S. Kapany (1960), also described anotheruse. Kapany stated that: It is possible to draw still thinner fibers, but they no longer act as simple light pipes. Their diameters are now comparable to the wavelength of the light, and they act as waveguides, transmit- ting energy in complex patterns that are no
ground effect 3D printed structure, showed 37%increase in the downforce and 26% reduction in the drag force. The capstone was done over 1-semester and was assessed based on progress reports submitted on bi-weekly basis, presentationby the end of the project, final report, and team work participation. Using these assessment tools,many of the ABET outcomes were met as will be shown in the paper.IntroductionAerodynamics and flow around car profile are significantly important for F1 design teams. Thefirst designs in the 1950’s were relatively sleek, despite having to compensate for the enormousengines mounted in front of the driver. Down force was a little known concept at that time, so theteams tried to rely on eliminating drag to achieve higher
equation is defined as the order of the highest derivative appearing in the equation and ODE can be of any order. A general form of a first-order ODE can be written in the form dy/dt + p(t)y + q(t) + s = 0 where p(t) and q(t) are functions of t. This equation can be rewritten as shown below d/dt(y) +y p(t) = - q(t) - s where s is zero. A classical integrating factor method can be used for solving this linear differential equation of first order. The integrating factor is e∫p dt . Euler Method Graphical methods produce plots of solutions to first order differential equations of the form y’ = f(x,y), where the derivative appears on the left side of the equation. If an initial condition of the form y(x0) = y0 is also specified, then the only solution
Behavior, Lumen, 2019, pp. 1–18.[2] P. Adler, “Work Organization: From Taylorism to Teamwork,” Perspect. Work, vol. 1, no. 1, pp. 61–65, 1997.[3] R. B. Helfgott, “America ’ s Third Industrial Revolution,” Challenge, vol. 29, no. 5, pp. 41–46, 1986.[4] S. Lund, “AI , automation , and the future of work : Implications for Engineering Deans,” 2019.[5] T. Chowdhury and H. Murzi, “Literature Review : Exploring Teamwork in Engineering Education,” in Research in Engineering Education Symposium, 2019.[6] H. G. Murzi, T. M. Chowdhury, J. Karlovšek, and B. C. Ruiz Ulloa, “Working in large teams: Measuring the impact of a teamwork model to facilitate teamwork development in engineering students working in a real
more motivated to complete multiple rotations.Future WorkFuture work is to expand this data beyond a single institution to look for other contextualinfluences on student views. This will help build better descriptions or find additional uniquegroups. Additionally, this expanded work can help identify how institutional or corporatecultures could be impacting the co-op experience.References[1] R. S. Lindenmeyer, “A comparison study of the academic progress of the cooperative and the four year student,” J. Coop. Educ., vol. 3, no. 2, pp. 8–18, 1967.[2] B. F. Blair, M. Millea, and J. Hammer, “The Impact of Cooperative Education on Academic Performance and Compensation of Engieering Majors,” J. Eng. Educ., vol. 93, no. 4, pp. 333
large response rates (i.e. not skip logic based). Thisrestricts the number of responses used for analysis as well as the ability to test the surveyinstrument’s factor structure in its entirety. This means that there may be larger underlyingthemes that we cannot pull out or important themes present in these opt in items that will beoverlooked. References[1] S. Lipson, E. Lattie, & D. Eisenberg, “Increased rates of mental health service utilization by US college students: 10-year population-level trends (2007–2017),” Psychiatric Services, vol. 70, no. 1, pp. 60-63, 2019.[2] S. Lipson & D. Eisenberg, “Mental health and academic attitudes and expectations in university
V solid-state against a conventional low-frequency distribution transformer," 2014 IEEE Energy Convers Congress and Expo (ECCE), Pittsburgh, PA, 2014, pp. 4545-4552. doi: 10.1109/ECCE.2014.6954023.[3] C. Nan and R. Ayyanar, "Dual active bridge converter with PWM control for solid state transformer application," 2013 IEEEEnergy Conversion Congress and Exposition, Denver, CO, 2013, pp.4747-4753.doi: 10.1109/ECCE.2013.6647338.[4] L. Wang, D. Zhang, Y. Wang, B. Wu, and H. S. Athab, "Power and Voltage Balance Control of a Novel Three-Phase Solid-State Transformer Using Multilevel Cascaded H-Bridge Inverters for Microgrid Applications," in IEEE Transactions on PowerElectronics, vol. 31, no. 4, pp. 3289-3301, April 2016. doi: 10.1109/TPEL