Protector with other learning contexts and audiences.References[1] J. M. Hoekstra, T. M. Boucher, T. H. Ricketts, and C. Roberts, “Confronting a biome crisis: global disparities of habitat loss and protection,” Ecology letters, vol. 8, no. 1, pp. 23–29, 2005.[2] T. J. Lark, S. A. Spawn, M. Bougie, and H. K. Gibbs, “Cropland expansion in the United States produces marginal yields at high costs to wildlife,” Nature communications, vol. 11, no. 1, pp. 1–11, 2020.[3] D. M. Engle, B. R. Coppedge, and S. D. Fuhlendorf, “From the dust bowl to the green glacier: human activity and environmental change in Great Plains grasslands,” in Western North American Juniperus Communities, Springer, 2008, pp. 253–271.[4] V. J. Horncastle, E. C
creating supports that aid in identity development. Creating spaces for exploring identity development over the course of the engineering and computer degrees, particularly working with student-led Latinx organizations. Redesigning engineering and computer science spaces to be more culturally relevant and inclusive, rather than exclusionary and white.Acknowledgments: This work was supported by NSF grant numbers 1647181 and 1647104 atThe University of Texas at Arlington with Principal Investigator Panos S. Shiakolas and TexasA&M University - Commerce with Principal Investigator Sarah L. Rodriguez. Any opinions,findings, and conclusions or recommendations expressed in this work are those of the authorsand do not necessarily
resources.References[1] P. D. Crompton, J. Moebius, S. Portugal, M. Waisberg, G. Hart, L. S. Garver, L. H. Miller, C. Barillas-Mury,and S. K. Pierce, "Malaria immunity in man and mosquito: insights into unsolved mysteries of a deadly infectiousdisease," Annual review of immunology, vol. 32, pp. 157-187, 2014.[2] A. S. Fauci, and D. M. Morens, "Zika virus in the Americas—yet another arbovirus threat," New Englandjournal of medicine, vol. 374, no. 7, pp. 601-604, 2016.[3] V. Vijayakumar, D. Malathi, V. Subramaniyaswamy, P. Saravanan, and R. Logesh, "Fog computing-basedintelligent healthcare system for the detection and prevention of mosquito-borne diseases," Computers in HumanBehavior, vol. 100, pp. 275-285, 2019.[4] S. Sareen, S. K. Sood, and S. K. Gupta
topics related to the structure of the course; assignments; enthusiasm, or lack of it; andpersonal concerns and tragedies that students share [6]. Indeed, research shows that teachersapply empathy in their interactions and relationships with students [6].Researchers have conceptualized empathy in multiple ways. Empathy is a complex concept thathas been generally defined as an individual’s ability to understand and respond to anotherperson’s perspective and feelings [7]. Cuff et al.'s [8] review of empathy research identifiedforty-three distinct definitions of the concept. In another review, Batson describes eight distinctyet related concepts of empathy [9]. In the context of nursing education, Kunyk and Olson [3]categorized types of empathy into
Paper ID #36785An Analysis of STEM Students’ Integral and Area Under theCurve KnowledgeEmre Tokgoz (Associate Professor)Samantha Scarpinella Pennsylvania State University Industrial Engineering PhD Student © American Society for Engineering Education, 2022 Powered by www.slayte.comAn Analysis of STEM Students’ Integral and Area Under the CurveKnowledge1 Emre Tokgöz, 3Samantha Scarpinella, 3Michael Giannone, 1Elif. N. Tekalp, 1Berrak S. Tekalp, 2Hasan A.Tekalp1 Emre.Tokgoz@qu.edu, 1Elif.Tekalp@qu.edu, 1Berrak.Tekalp@qu.edu, 2Hasan.Tekalp@qu.edu3 ses6506@psu.edu, 1Michael.Giannone
success variables, college grades a (i.e., first year GPA) and creativity.Preliminary findings suggest that specific college experiences have a greater influence on first-year GPA and that students with ADHD are more likely to self-report high levels of creativity.We also plan to conduct the analysis for resilience, a less-common measure of collegiateacademic success that may be relevant for students who have ADHD.Table 2. Model components, constructs, and survey items from the HERI instrument [32], [33]. Components and constructs of our model Item(s) from the HERI instruments Precollege characteristics & experiences Gender Gender of respondent; Survey choices: Female, Male Sociodemographic
had been highly rated at the time of original review. Inpart because of this and in part because it is an important part of proposal review, our reviewerswere asked to closely read the current program description and calls for proposals and evaluatethe proposals with respect to how well they matched the current call. This allowed for apotentially greater range of quality evaluations, with the understanding that there would be amismatch between the current call and the call the original proposals responded to. The callsused in this training were the Preparing Future Engineers: Research Initiation in EngineeringFormation (PRF: RIEF), Scholarships in Science, Technology, Engineering & Math (S-STEM),and the Faculty Early Career Development
/translating-theory-on-color-blind-racism-to-an-engineering-educatio n-context-illustrations-from-the-field-of-engineering-education.[10] S. Johnston, A. Lee, and H. McGregor, “Engineering as Captive Discourse,” Society for Philosophy and Technology Quarterly Electronic Journal, vol. 1, no. 3/4, pp. 128–136, Oct. 1996, Accessed: Jul. 06, 2021. [Online].[11] M. G. Eastman, M. L. Miles, and R. Yerrick, “Exploring the White and male culture: Investigating individual perspectives of equity and privilege in engineering education,” J. Eng. Educ., vol. 108, no. 4, pp. 459–480, Oct. 2019.[12] E. Rap and M. T. Oré, “Engineering Masculinities: How Higher Education Genders the Water Profession in Peru,” Eng. Stud., vol
chemical engineer before, and mentorvideos and interactions helped them meeting with professional chemical engineers and seeingtheir future in them.Future WorkWe had collected both qualitative and quantitative data during three semesters ofimplementation. All data was cleaned, organized, coded individually and as a group. This data iscurrently being analyzed.AcknowledgmentsThis work was supported through the National Science Foundation’s funding under a PFE: RIEFGrant No. (2024960). Any opinions, findings, conclusions, or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the National ScienceFoundation’s views. We wish to thank survey and interview participants for their participation inthe
; less than 28% of the total IT workforceand only 12% of engineers are female [2]. By the time students reach college, 1 in 5 young menplan on majoring in engineering or computing while only 1 in 17 young women declare the same[3]. Since 1990, the percentage of female computing professionals dropped from 35% to about24% today, and if that trend continues, the share of women in the nation’s computing workforcewill decline to 22% by 2025 according to Girls Who Code [4]. These statistics provide themotivation for a program called Project-based Work Studio (PWS) developed at a mid-sizedAppalachian primarily undergraduate university supported by an NSF S-STEM grant to build amore proportionate female workforce in computer science, engineering, and
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