strategies for creating equitable access to the discipline. Byexamining how Western Tech Scholars and their peers become cybersecurity professionals, thispaper provides information about “what works” in influencing a diverse body of students tostudy cybersecurity in institutions that are minority serving.3 MethodologyThis qualitative case study considers the Western Tech S-STEM program as the bounded system[15] under investigation. This section describes the data sources used in this study as well as thedata analysis strategies used. IRB was obtained before gathering data.3.1 Data CollectionData sources for this study include the following: a) Annual interviews with Western TechScholars, occurring between May and October from 2019 to 2021, b
identities are encouraged and how strongly they are expressed. Separating bygender, the results show the significant difference between men, women, and nonbinaryengineering students and how they consider their gender identity. The average Model for MultipleDimensions of Identity based on school type can help understand students' priorities when decidingto attend a small school.References[1] A. D. Patrick and M. Borrego, “A Review of the Literature Relevant to Engineering Identity,” in ASEE Annual Conference and Exposition, Conference Proceedings, 2016, doi: 10.18260/p.26428.[2] K. L. Meyers, M. W. Ohland, A. L. Pawley, S. E. Silliman, and K. A. Smith, “Factors Relating to Engineering Identity,” Glob. J. Eng. Educ., vol. 14
Science Teaching, 44(8), 1187-1218.Chang, M. J., Sharkness, J., Hurtado, S., & Newman, C. B. (2014). What matters in college for retaining aspiring scientists and engineers from underrepresented racial groups. Journal of Research in Science Teaching, 51(5), 555-580.Collins, D., Bayer, A. E., & Hirschfeld, D. A. (1996). Engineering Education for Women: A Chilly Climate? Women in Engineering ProActive Network.Crenshaw, K. (1990). Mapping the margins: Intersectionality, identity politics, and violence against women of color. Stan. L. Rev., 43, 1241.Cross, K. J., Clancy, K. B., Mendenhall, R., Imoukhuede, P., & Amos, J. R. (2017, June). The double bind of race and gender: A look into the experiences of
bachelor’s degrees earned by women in the U.S. has remained between 18.1% and20.5% from 2000 to 2015, with women receiving 20.1% of degrees in 2015 [1]. By contrast,women’s representation in the engineering workforce has been steadily increasing since the1990’s, from 8.6% in 1993 to 14.5% in 2015 [1]. However, according to statistics from 2010,within five years of graduation, 36 percent of women who obtained engineering bachelor’sdegrees either left or never entered the field and within fifteen years after graduation, 60 percentof women who earned engineering bachelor’s degrees had left the field [2]. Despite the recentincreases, these numbers indicate that women are still underrepresented in the workforce and thatretention of women engineers in
manufacturing systems; control of large-scale complex systems; robotics/mechatronics; and adaptive and robust control of nonlinear dynamic systems.Prof. Satish Bukkapatnam, Texas A&M University Satish T. S. Bukkapatnam received his Ph.D. and M.S. degrees in industrial and manufacturing engineer- ing from the Pennsylvania State University. He currently serves as Rockwell International Professor with the Department of Industrial and Systems Engineering department at Texas A&M University, College Station, TX, USA. He is also the Director of Texas A&M Engineering Experimentation Station (TEES) Institute for Manufacturing Systems. His research in smart manufacturing addresses the harnessing of high-resolution
students discussed whichfoot type to use for the foot adaptation component of the survival suit design. The first instanceof EBR stated by Sean was also coded functionality because he explicitly referred to hisknowledge that human feet would work in the snowy conditions. The second instance of EBRwas coded technology, since Samuel justified his counterargument by referring to an existingtechnology, shoes. He used his prior knowledge about existing technologies to point out a flaw inhis teammate’s argument that human feet would be the best option for the survival suit.Example related to colors and camouflageIn addition to the choice of the survival suit covering material, students also had to choose whichcolor(s) to make the exterior of their suit
forTeaching and Learning Ordinary Differential Equations: A Systemic Literature Review andBibliometric Analysis,” Mathematics, vol. 9, no. 7, p. 745, Mar. 2021, doi:https://doi.org/10.3390/math9070745.[5] S. Arslan, “Do students really understand what an ordinary differential equationis?,” International Journal of Mathematical Education in Science and Technology, vol. 41, no. 7,pp. 873–888, Oct. 2010, doi: https://doi.org/10.1080/0020739x.2010.486448.[6] C. L. Rasmussen and K. D. King, “Locating starting points in differential equations: arealistic mathematics education approach,” International Journal of Mathematical Education inScience and Technology, vol. 31, no. 2, pp. 161–172, Mar. 2000, doi:https://doi.org/10.1080/002073900287219.[7] C. L
to student success in engineering education,” EuropeanJournal of Engineering Education, vol. 42, no. 4, pp. 368–381, 2017.[5] M. Scheidt, A. Godwin, E. Berger, J. Chen, B. P. Self, J. M. Widmann, and A. Q. Gates,“Engineering students’ noncognitive and affective factors: Group differences from clusteranalysis,” Journal of Engineering Education, vol. 110, no. 2, pp. 343–370, 2021.[6] S.-M. R. Ting and R. Man, “Predicting academic success of first-year engineeringstudents from standardized test scores and psychosocial variables,” International Journal ofEngineering Education, vol. 17, no. 1, pp. 75–80, 2001.[7] B. F. French, J. C. Immekus, and W. C. Oakes, “An examination of indicators ofengineering students’ success and persistence
beneficial involvement. Threshold theories of studentinvolvement predict diminishing or negative returns at higher levels of involvement. These studieshave measured level of involvement as either number of activities or number of hours involved inactivities [58], [63], [64]. These studies fit nonlinear functions of involvement with respect ofacademic outcomes, finding that at high levels of involvement the benefits leveled off or evendeclined slightly. Vetter et al.’s [17] findings about the significance of quality of involvement overquantity of involvement echo these findings, concluding that “co-curricular programs andactivities are of greatest benefit when they encourage students to engage more deeply… only oneor two meaningful co-curricular
learn to see individualstructures or features, and to ask what function that structure or feature accomplishes and whythat is important to the organism. When students are practiced in this, they “learn to see theworld through new eyes” – the world around them is no longer part of the background of theirlives, but rather is now filled with potential solutions to challenging design problems [16].Curriculum BID specific ActivitiesSeveral standard lessons and activities were used for teaching engineering, brainstorming forideas, and as empathy building exercises for problem description. For example, we useSCAMPER, a semi-structured approach to ideation and improving ideas. The categories are, (S)Substitute, (C) Combine, (A) Adapt, (M) Modify
, M. Henderson, E. Creely, A. A. Carvalho, M. Cernochova, D. Dash, T. Davisand P. Mishra, "Creativity and risk-taking in teaching and learning settings: Insights from sixinternational narratives," International Journal of Educational Research Open, vol. 2, no. 2, pp.1-11, 2021.[6] N.R. Kuncel, S. Hezlett, and D. Ones, "Academic performance, career potential, creativity,and job performance: Can one construct predict them all?," J. Educ. Psychol., vol. 102, no. 3, pp.599-616, Aug. 2010.[7] P. C. Wankat, R. M. Felder, K. A. Smith and F. S. Oreovicz, "The scholarship of teachingand learning in engineering," in Disciplinary Styles in the Scholarship of Teaching andLearning: Exploring Common Ground, vol. 1, Indiana University Press, 2002, pp. 217
engineering, many of the URM studentsstruggle to complete their degree due to various factors: inadequate academic preparation,insufficient awareness career options, lack of necessary financial, academic, social, and culturalsupport for success, and low levels of self-efficacy.To address these barriers and build capacity for student success, SFSU has partnered with twolocal HSI community colleges, Skyline College and Cañada College. This collaboration involvesdeveloping and implementing several strategies through the Strengthening Student Motivationand Resilience through Research and Advising (S-SMART) project, which is funded by theNational Science Foundation's HSI Improving Undergraduate STEM Education (IUSE) program.One of the strategies developed
classified below as subtopics: 1. Established identity in CS with themselves and others. 2. Personal experiences and challenges in CS that are gender and/or race related. 3. Psycho-social characteristics experienced. 4. Personal feedback/recommendations for promoting equity, inclusion, and representation of black women in CS.Each subtopic and corresponding findings are discussed below.4.1 Established Identity in CS with Themselves & OthersFindings for this classification were based on five key questions that were asked during the focusgroup sessions: Q1: Do the participant(s) exhibit an identity towards computer science? Q2: Do the participant(s) consider themselves as computer scientists? Q3: Are they proud to be
Learning Community. He has offered a variety of high-school and first-year introductory and professional development courses over the last two decades. ©American Society for Engineering Education, 2023 Student Persistence Factors for Engineering and Computing Undergraduates Robert Petrulis2, Sona Gholizadeh1 , Ed Gatzke1 (1) University of South Carolina, Columbia, SC (2) EPRE Consulting, Columbia, SCAbstractThe research and evaluation team of an S-STEM project at a large, research-intensiveSoutheastern public university conducted a cross-sectional survey as a first step to comparefactors which may influence undergraduate student persistence in
in 2020-21, as shown by the Student Demographics reported in Table 1.Students in this program believe that remote undergraduate research programs “give opportunities tostudents all over the country to participate in research projects …. without having to live in the samelocation”; “[collaborating] with people from different backgrounds …. enhance[s] the research process”;and “[Diversity] is important to gain an extrinsic understanding of how our work can impact others, soby promoting diverse collaboration, it also improves the work itself” (Student Testimonials).The active outreach to high school students allows undergraduate community college researchers to takeon high school mentees. This serves to lessen the gap between undergraduate
courses and pro-environmental knowledge and behavior and environmental attitudes.References[1] S.-W. Liang, W.-T. Fang, S.-C. Yeh, S.-Y. Liu, H.-M. Tsai, J.-Y. Chou and E. Ng, “A nationwide survey evaluating the environmental literacy of undergraduate students in Taiwan,” Sustainability, vol. 10, no. 6, p. 1730, Jun. 2018. Available: 10.3390/su10061730.[2] K. J. H. Williams and J. Cary, “Landscape preferences, ecological quality, and biodiversity protection,” Environ. Behav., vol. 34, no. 2, pp. 257–274, Mar. 2002.[3] Intergovernmental Panel on Climate Change, “AR4 Climate Change 2007: Synthesis Report,” 2007.[4] L. Chawla and D. F. Cushing, “Education for strategic environmental behavior,” Environ. Edu. Res., vol. 13, no. 4, pp
American and Chinese elementary students,” J. Elem. Sci. Educ., vol. 21, no. 4, pp. 23–42, 2009, doi: https://doi.org/10.1007/BF03182355.[5] S. L. Ferguson and S. M. Lezotte, “Exploring the state of science stereotypes: Systematic review and meta‐analysis of the Draw‐A‐Scientist Checklist,” Sch. Sci. Math., vol. 120, no. 1, pp. 55–65, Jan. 2020, doi: 10.1111/ssm.12382.[6] R. Haynes, “From alchemy to artificial intelligence: Stereotypes of the scientist in Western literature,” Public Underst. Sci., vol. 12, pp. 243–2535, 2003, doi: https://doi.org/10.1177%2F0963662503123003.[7] M. G. Jones, A. Howe, and M. J. Rua, “Gender differences in students’ experiences, interests, and attitudes toward science and
inengineering specifically [12-15, 28-29, 31-33, 38]. There were cross-cultural differences in the studies’ findings. In the study from UAE[26], women with higher SES were less likely to choose STEM majors and careers (Fig. 1),unlike in the US and UK where studies found higher SES to significantly impact the likelihoodof persisting in and choosing a STEM major, respectively [22, 24]. In Caspi et. al.’s study [16] inIsrael, they found no gender difference in ninth grade students’ choice of a STEM major whereasgender differences were found early on (i.e., prior to intervention) in STEM attitudes in USstudents [13]. Fig. 1 Likelihood of persisting in and choosing a STEM major Importantly, these studies support the
. doi: 10.1002/sce.210075. Baker, D., Krause, S., Yaşar, ş., Roberts, C., & Robinson-Kurpius, S. (2007). An intervention to address gender issues in a course on design, engineering, and technology for science educators. Journal of Engineering Education, 96(3), 213-226. doi: 10.1002/j.2168-9830.2007.tb00931.x6. Adelman, C. (1998). Women and men of the engineering path: A model for analyses of undergraduate careers. (Report No. PLLI-98-8055). Washington, DC: Office of Educational Research and Improvement, U.S. Department of Education Retrieved from ERIC database. (ED419696).7. Bucciarelli, L. L. (2003). Engineering philosophy. Delft, The Netherlands: DUP Satellite.8. Su, R., Rounds, J., &
students 34. Theresearchers found that social support and having a better sense-of-belonging yielded higher ratesof persistence in STEM students.Commuter students. Living off-campus can have implications in student success 35. Off-campushousing requires students to keep track of additional expenses, such as rent, groceries, and utilitybills. This living situation can also make access to student services more challenging becausestudents must travel to campus to access the services. The commuter student demographic beganto expand in the 1960’s, and has yet to see a decline 36. Access to course materials for commuterstudents have improved since the inception of learning management systems (e.g., BlackBoard)that provide electronic access to course
) in engineering and science hasbecome much discussed topic in the industry and also in the academia (Detroit Free Press, 2016;Burke, 2016). While the state licensure bodies monitor the professional conduct of the engineers,professional engineering bodies like National Society of Professional Engineers (NSPE) andAmerican Society of Civil Engineers (ASCE) insist and expect their members to have goodmoral character and ethical integrity (NSPE, 2016; ASCE, 2012).However, the ethical contact and the professionalism of an engineer do not start with theengineer’s first assignment as a graduate engineer, but with what this individual learns inclassrooms as an engineering student and how s|he gets trained as an engineering intern. Theseeds of ethics
comfort of occupants and energy efficiency ofbuildings.ReferencesAbas, S. J., and Salman, A. (1992). Geometric and group‐ theoretic methods for computer graphic studies of Islamic symmetric patterns. Computer graphics forum, 11(1), 43–53.Abdullahi, Y., and Embi, M. R. B. (2013). Evolution of Islamic geometric patterns. Frontiers of architectural research, 2(2), 243–251. 26Al-Kodmany, K. (2014). Green towers and iconic design: Cases from three continents. International journal of architectural research, 8(1), 11–28.Alothman, H. (2017). A thesis submitted to the graduate school of applied sciences of near east university. Near East University, Nicosia.Amrousi, M. E. (2017
Mission College S-STEM ATE* S-STEM HSI* Laredo College IUSE AISL HSI* ATE Miami Dade College S-STEM S-STEM* ATE* Palo Alto College IUSE S-STEM* ATE* West Hills CC S-STEM ATE* S-STEM S-STEM* Central Arizona 2 College ATE* HSI* LA Harbor College S-STEM Lee College IUSE HSI-F19 NMSU Grants ATE HSI* Phoenix College DRK12 HSI* HSI-F19 San Joaquin Delta S-STEM
) C(S) P(S) y(t) - Figure 1. PID Controller Feedback Systemwhere x(t) is the desired value (i.e., set point) e(t) is the error (i.e., x(t) – y(t)) w(t) is the controller output (i.e., actuator output) y(t) is the actual output (i.e., process variable (PV)) C(s) is the transfer function of the PID controller in the Laplace domain P(s) is the transfer function of the plant in the Laplace domainLet F(s) be defined as the Laplace transform of a function f(t): ∞ 𝐹𝐹(𝑠𝑠) = ℒ {𝑓𝑓(𝑡𝑡)} = ∫0 𝑓𝑓(𝑡𝑡) 𝑒𝑒 −𝑠𝑠𝑠𝑠 𝑑𝑑𝑑𝑑where s is the transform variable.Taking the Laplace
Awarding S-STEM Scholarships to Current StudentsAbstractLamar University in Beaumont, Texas was awarded an NSF S-STEM grant “Industrial andMechanical Engineering Scholars with Scholarships, Career Mentoring, Outreach andAdvisement, Professional Societies and Engineering Learning Community (SCOPE) S-STEMProgram” in 2015. Unlike most scholarship programs that target incoming students, thisscholarship targets enrolled students who have demonstrated successful progress towards aMechanical Engineering or Industrial Engineering degree by having minimum grades of B inCalculus I, Calculus II and Physics I and an overall GPA of at least 3.0. The SCOPE programrequires scholarship recipients to be an active member of the
reporton the role of oral communication in the workplace. Communication Education, 52, 1-16.2. Borrego, M., Karlin, J., McNair, L. D., & Beddoes, K. (2013, October). Team effectiveness theory from industrialand organizational psychology applied to engineering student project teams: A research review. Journal ofEngineering Education, 102(4), 472-512.3. Prescott, D., El-Sakran, T., Albasha, L., Aloul, F., & Al-Assaf, Y. (2012, Spring). Teambuilding, innovation andthe engineering communication interface. American Journal of Engineering Education, 3(1), 29-40.4. Dannels, D. P., Anson, C. M., Bullard, L., & Peretti, S. (2003, January). Challenges in learning communicationskills in chemical engineering. Communication Education, 52, 50-56.5
switched for Workshop 2 such that the participants will complete 8 CADmodules first and then the 4 origami modules. Workshop 3 will consist of 12 origami modules andWorkshop 4 will consist of 12 CAD modules with each module increasing in complexity anddifficulty. All 4 workshops will be deployed in Fall 2018 to first-year female engineering student. Itis estimated that there will be 50 - 75 participants in each workshop cohort.References [1] M. S. Khine, Visual-spatial Ability in STEM Education. Switzerland: Springer International Publishing, 2016. [2] M. C. Linn and A. C. Petersen, “Emergence and characterization of sex differences in spatial ability: A meta-analysis,” Child development, vol. 56, no. 6, pp. 1479–1498, 1985. [3] G. Park, D
prep weeks. Week 4's preparationconsisted of Paige and Gabby splitting up the work of creating a new set of slides and theirinstructor notes. Like the prior weeks, the expectation was to use AUT 2020's slides but not evenwatching the Zoom recording for AUT 2020's Data Visualization lecture helped the team feelconfident in delivering the content. The data does not provide information as to why the videowas unhelpful. As a result, Paige and Gabby did research on the topic to understand datavisualization (data type/measurement scale, nominal/ordinal/quantitative, etc.). This led to Paigeand Gabby updating the visualization examples using postcards from previous students. All threeeducators acknowledged the amount of work required for week 4 and
Paper ID #43077Board 188: A Legacy of Success: The High Achievers in STEMDr. Rahman Tashakkori, Appalachian State University Rahman Tashakkori received his PhD in Computer Science from Louisiana State University in 2001. He serves as the Lowe’s Distinguished Professor of CS and director for LSAMP and S-STEM programs at Appalachian State University.Dr. Jennifer R. McGee, Appalachian State UniversityDr. Cindy Norris, Appalachian State University ©American Society for Engineering Education, 2024 A Legacy of Success: The High Achievers in STEM Abstract - There are well-known and widespread