morewomen into the program. Results of these efforts and other success stories will be reported infuture.AcknowledgementThe project is funded by the NSF’s EEC Program. We would also like to thank NorthropGrumman Corporation and NASA Armstrong Flight Research Center for hosting the participantsand giving them a tour of their research labs and facilities. We would also like to thank NorthropGrumman Corporation, Lockheed Martin Corporation, and NASA AFRC for their continuedsupport of the Cal Poly Pomona’s UAV Lab.References1. Bhandari, S., Aliyazicioglu, Z., Tang, F., and Raheja, A., “Research Experience for Undergraduates in UAV Technologies,” Proceedings of American Society of Engineering Education Annual Conference, Salt Lake City, UT, 25-28
anxiety can bedevastating, as mathematics is an important part of life [3]. Math anxiety can cause individuals toavoid math or situations that require analytical and rational thought [4]. Several studies havebeen carried out with elementary and grade school students to learn more about human reactionto mathematics [5], yet fewer studies have been done on college students or later. Furthermore,the majority of these research studies on college students focus on first-year students enrolled ina mathematics course [3]. The current study of this paper is focused on a less studied populationof engineering technology students, and their tendency to engage in rational-analytical thoughtprocesses.Literature ReviewIn the 1970’s researchers indicated that
Paper ID #30680Engendering Community to Computer Science Freshmen through an EarlyArrival ProgramProf. Alark Joshi, University of San Francisco Alark Joshi is an Associate Professor in the Department of Computer Science at the University of San Francisco. He was a co-PI on the IDoCode project (http://coen.boisestate.edu/cs/idocode/) that led to a change in the landscape of computer science teacher preparation and education in the state of Idaho. Currently, he is a co-PI on the S-STEM proposal focused on engaging students in the local community to enable successful outcomes for them with respect to courses and internships/jobs
a STEM researchproject. National Science Foundation Middle/High School Student Attitudes Towards STEM (S-STEM) Survey [8] was used to assess the overall impact of the outreach program on the femalestudents’ self-confidence and motivation in pursuing future cross-disciplinary STEM careers.The results showed that the 21st Century skills related to critical-thinking, communication, andcollaboration was the section with the most radical improvement.Keywords: kinematics of mechanisms, protein kinematics, biomechanics, biochemistry, DNAnano-mechanismsIDEAL Online Summer Outreach Program Curriculum Plan and MethodsDuring the summer of 2019, mechanical engineering faculty and two undergraduate studentsfrom both NSM and ECS colleges offered a two
in the accommodations processStudents were asked about positive and negative experiences, and supportive or unsupportiveactions. Participants then had the opportunity to describe these experiences. Around 140 studentsresponded to questions about their experiences. 40 students described having a positiveexperience, while 67 students reported not having positive experiences in the accommodationsprocess. 22 students reported having negative experiences, while 104 students reported nothaving negative experiences in the accommodations process. These results are summarized intables 2-3.Table 2. Student positive experience(s) Theme n Example comments Emotional 23 “[Saying] I am there for you, take
, & A. W. Harrist (Eds.), Authoritative parenting: Synthesizing nurturance and discipline for optimal child development (pp. 11–34). American Psychological Association.Baumrind, D. (1996). The discipline controversy revisited. Family Relations, 45(4), 405-414. Bayati, N. (2023). Exploring Parental Factors That Influence Female Students STEM Major Choice: A Phenomenological Study Exploring Female STEM Students’ Experiences. Bronfenbrenner, U. (1979). The ecology of human development: Experiments by nature and design. Harvard university press. Chown, S. M. (1957). The formation of occupational choice among grammar school pupils. Thesis Ph. D., Liverpool University. Denson, C
thecamp.AcknowledgmentThe research team is very thankful for the support of the Texas Education Service Center ofRegion 20, the Charlotte Independent School District, and the USS Department of Agriculture.This research was supported by the intramural research program of the USS Department ofAgriculture, National Institute of Food and Agriculture, Women and Minorities in STEMProgram, award #: 2022-38503-37903. The findings and conclusions in this preliminarypublication have not been formally disseminated by the U. S. Department of Agriculture, andshould not be construed to represent any agency determination or policy.Reference[1] E. J. Haller and S. J. Virkler, "Another Look at Rural-Nonrural Differences in Students' Educational Aspirations," 1993.[2] M. S
Proceedings, 2018.[2] H. Xiao et al., “Are we in crisis? National mental health and treatment trends in college counseling centers,” Psychol Serv, vol. 14, no. 4, pp. 407–415, Nov. 2017, doi: 10.1037/ser0000130.[3] S. A. Wilson and J. H. Hammer, “Faculty Experiences with Undergraduate Engineering Student Mental Health,” In 2021 ASEE Virtual Annual Conference Content Access, 2021.[4] I. Jurewicz, “Mental health in young adults and adolescents-supporting general physicians to provide holistic care,” Clinical Medicine, vol. 15, no. 2, pp. 151–155, 2015.[5] C. J. Wright, S. A. Wilson, J. H. Hammer, L. E. Hargis, M. E. Miller, and E. L. Usher, “Mental health in undergraduate engineering students: Identifying facilitators
intervention. By leveraging these findings, educators, policymakers, and industrystakeholders can work collaboratively to strengthen the talent pipeline and drive innovation inthe semiconductor sector.References[1] A. Deichler, “Help Wanted: Manufacturing Sector Struggles to Fill Jobs,” SHRM, Jun. 2021,accessed: 2023-7-6. [Online]. Available: https://www.shrm.org/topics-tools/news/talent-acquisition/help-wanted-manufacturing-sector-struggles-to-fill-jobs[2] S. Alam, “Addressing the talent gap,” Accenture, Feb. 2023, accessed: 2023-6-30. [Online].Available: https://www.accenture.com/us-en/insightsnew/high-tech/semi-talent-shortage[3] C. Richard, K. Ramachandran, and I. Pandoy, Deloitte, “Looming Talent Gap ChallengesSemiconductor Industry,” Semi.org
; Medina‐Borja, A. (1999). The use of focus groups for minority engineering program assessment. Journal of Engineering Education, 88(3), 333-343. Ashford, S. N., Wilson, J. A., King, N. S., & Nyachae, T. M. (2017). STEM SISTA spaces. Emerging issues and trends in education, 3. Blosser, E. (2020). An examination of Black women's experiences in undergraduate engineering on a primarily white campus: Considering institutional strategies for change. Journal of Engineering Education, 109(1), 52–71. Brawner, C., Mobley, C., Lord, S. M., & Main, J. Fit, Faith, and Family: Counterspaces for Black Male Student Veterans in Engineering. Journal of Women and Minorities in Science and Engineering.Case, A. D., & Hunter, C. D. (2012). Counterspaces: A
With Disabilities: An Emergent Theoretical Model,” J. Coll. Stud. Dev., vol. 56, no. 7,pp. 670–686, 2015.[2] M. Legault, J.-N. Bourdon, and P. Poirier, “From neurodiversity to neurodivergence: therole of epistemic and cognitive marginalization,” Synthese, vol. 199, no. 5/6, pp. 12843–12868,Dec. 2021, doi: 10.1007/s11229-021-03356-5.[3] L. Clouder, M. Karakus, A. Cinotti, M. V. Ferreyra, G. A. Fierros, and P. Rojo,“Neurodiversity in higher education: a narrative synthesis,” High. Educ., vol. 80, no. 4, pp. 757–778, Oct. 2020, doi: 10.1007/s10734-020-00513-6.[4] S. K. Kapp, Ed., Autistic Community and the Neurodiversity Movement: Stories from theFrontline. Singapore: Springer, 2020. doi: 10.1007/978-981-13-8437-0.[5] L. G
institutions.AcknowledgmentThe authors gratefully acknowledge the leadership and financial support of the School ofEngineering at the Universidad Andres Bello, Chile.References[1] H. C. Chu, G. H. Hwang, Y. F. Tu, and K. H. Yang, “Roles and research trends of artificial intelligence in higher education: A systematic review of the top 50 most- cited articles,” Australasian Journal of Educational Technology, vol. 38, no. 3, pp. 22–42, 2022, doi: 10.14742/ajet.7526.[2] H. Crompton and D. Burke, “Artificial intelligence in higher education: the state of the field,” International Journal of Educational Technology in Higher Education, vol. 20, no. 1, p. 22, 2023, doi: 10.1186/s41239-023-00392-8.[3] T. Pham, T. B. Nguyen, S. Ha, and N. T. Nguyen Ngoc
. Hinings, D. Logue, and C. Zietsma, “Fields, institutional infrastructure and gov- ernance,” The Sage handbook of organizational institutionalism, pp. 163–189, 2017. [5] E. Chenoweth, Civil resistance: What everyone needs to know®. Oxford University Press, 2021. [6] A. Reuel, B. Bucknall, S. Casper, T. Fist, L. Soder, O. Aarne, L. Hammond, L. Ibrahim, A. Chan, P. Wills et al., “Open problems in technical ai governance,” arXiv preprint arXiv:2407.14981, 2024. [7] R. Søraa, AI for diversity. CRC Press, 2023. [8] T. Gebru and É. P. Torres, “The tescreal bundle: Eugenics and the promise of utopia through artificial general intelligence,” First Monday, 2024. 6
, "A literature review on immersive virtual reality in education,"eLearning and Software for Education, vol. 1, pp. 133–141, 2015.[4] C. T. Fosnot, Constructivism: Theory, Perspectives, and Practice, 2nd ed. New York, NY,USA: Teachers College Press, 2013.[5] M. Schcolnik, S. Kol, and J. Abarbanel, "Constructivism in theory and in practice," EnglishTeaching Forum, vol. 44, no. 4, pp. 12–20, 2006.[6] M. P. Driscoll, Psychology of Learning for Instruction, 2nd ed. Boston, MA, USA: Allyn &Bacon, 2000.[7] M. Langley, D. W. Carruth, and M. Denny, "Virtual reality training improves real-world taskperformance in physical therapy and rehabilitation," IEEE Trans. Neural Syst. Rehabil. Eng., vol.24, no. 9, pp. 1041–1050, 2016.[8] G. Martin, J. Clarke
confidence developed during the first year and theongoing support offered by the program. Tracking future retention and graduation rates of thestudents in this study is planned, which will provide additional insights into the long-termoutcomes of SSP participants. Further research is needed to isolate and evaluate the specificeffects of SI on performance in first math and engineering courses, as well as its contribution tooverall academic success and persistence.Acknowledgement of Support and DisclaimerThis material is based upon work supported by the National Science Foundation under Grant No.2221638.Any opinions, findings, and conclusions or recommendations expressed in this material are thoseof the author(s) and do not necessarily reflect the
, providing holistic support for interdisciplinary identities benefits faculty career success andcreates broader pathways for solving the world’s multifaceted and complex global issues.References:[1] S. N. Conley, R. W. Foley, M. E. Gorman, J. Denham, and K. Coleman, “Acquisition ofT-shaped expertise: an exploratory study,” Social Epistemology, vol. 31, no. 2, pp. 165–183,Mar. 2017, doi: 10.1080/02691728.2016.1249435.[2] M. C. King, “Interdisciplinarity and Systems Thinking: some implications forengineering education and education for industry,” European Journal of Engineering Education,vol. 13, no. 3, pp. 235–244, Jan. 1988, doi: 10.1080/03043798808939422.[3] D. M. Etter and J. Bordogna, “Engineering education for the 21st century
of Chicago Press, 2012.[3] M. Besterfield-Sacre, C. J. Atman, and L. J. Shuman, "Characteristics of freshman engineering students: Models for determining student attrition in engineering," J. Eng. Educ., vol. 90, no. 2, pp. 139–150, 2001.[4] B. N. Geisinger and D. R. Raman, "Why they leave: Understanding student attrition from engineering majors," Int. J. Eng. Educ., vol. 29, no. 4, pp. 914–925, 2013.[5] M. W. Ohland, S. D. Sheppard, G. Lichtenstein, O. Eris, D. Chachra, and R. A. Layton, "Persistence, engagement, and migration in engineering programs," J. Eng. Educ., vol. 97, no. 3, pp. 259–278, 2008.[6] R. M. Felder and L. K. Silverman, "Learning and teaching styles in engineering education," Eng. Educ., vol. 78
scalablemodel for improving STEM education and addressing disparities in graduation rates andworkforce representation.AcknowledgementThe author wishes to thank Dr. Kimberly LeChasseur, Senior Research and Evaluation Associateat the WPI Morgan Teaching & Learning Center, for administering the student survey andproviding valuable support in interpreting the response data. The author also gratefullyacknowledges the generous contributions of WPI alumni donors, whose financial support made itpossible to acquire the equipment and instrumentation used in this course.References[1] R. Ram, S. Fuller, A. Panwar, J. Schulamn, K. Young, M. Ellsworth, S. Sotudeh and H. Kaur, "Aerospace and Defense Workforce Study," Ernst & Young LLP, 2022.[2] J. Marcus
industryleaders. As the program evolves, it will continue to empower students to explore their passions,develop critical skills, and envision a future where they can make a meaningful impact in theworld of STEM.References[1] A. Qasrawi, S. Langar and T. Sulbaran, "STEM Summer Camps in the US: Knowledge andContext," in 2023 ASEE Annual Conference & Exposition, 2023.[2] C. J. Cappelli, K. L. Boice and M. Alemdar, "Evaluating University-Based Summer STEMPrograms: Challenges, Successes, and Lessons Learned.," Journal of STEM Outreach, vol. 2, p.n1, 2019.[3] E. D. Broder, K. J. Fetrow, S. M. Murphy, J. L. Hoffman and R. M. Tinghitella, "STEMSummer Camp for Girls Positively Affects Self-Efficacy," The American Biology Teacher, vol.85, p. 432–439, 2023.[4
N. Beard. "What do we teach when we teach tech ethics?: A syllabi analysis," in Proc. 51st ACM Tech. Symp. Comp. Sci. Educ. Portland, OR, USA, 2020, pp. 289-295.[2] B. C. Stahl, J. Timmermans, and B. D. Mittelstadt, "The ethics of computing: A survey of the computing-oriented literature," ACM Comp. Surv. (CSUR), vol. 48, no. 4, pp. 1- 38, 2016.[3] S. R. Komives, N. Lucas, and T. R. McMahon, Exploring Leadership: For College Students Who Want to Make a Difference, 3rd ed., San Francisco, CA, USA: John Wiley & Sons, 2009.[4] M. J. Quinn, “On teaching computer ethics within a computer science department,” Sci. and Eng. Ethics, vol. 12, pp. 335-343, 2006.[5] R. T. Johnson, D. R. Johnson
noted as one persistent attribute that students exhibit during theseexperiences. For instance, one aspect of Behroozi et al.’s work [7] compared anxiety levels thattheir participants exhibited while conducting mock technical interviews either in a public settingor in a private setting. It was determined that participants who conducted technical interviews ina public setting exhibited higher levels of anxiety than their counterparts who were in a privatesetting. Similarly, Hall and Gosha [23] conducted a study that measured the correlation ofanxiety and preparation in a technical interview that targeted junior and senior CS majors at aSoutheastern Historically Black College/University (HBCU) in the United States. Keyinformation collected during
impact on improving student understanding ofspecific course concepts. However, these results counter that of Leininger-Frézal andSprenger [19], who find the use of a VFT did help to enhance student understanding.Common between ours and Dada, et al. [15]’s results are a high percentage (>75%) ofagreement to the pre-survey statement, and thus it is more difficult to make a meaningfulimprovement on student understanding.Comparatively, the remaining 4 statements showed significant differences between pre- andpost-DST survey results (p < 0.05). Observations from Figure 3 in conjunction with this dataimplies the DST was ineffective in assisting students to develop problem solving skills,enabling teamwork, and improving their ability to
; Plaza, D. (in preparation). Sweetheart Deals: informal promotion practices that produce gendered and racialized workplace inequities in higher education, ADVANCE Journal.Davis, S., Nolen, S., Cheon, N., Moise E., & Hamilton E. (in review). Engineering Climate for Marginalized Groups: Connections to Peer Relations and Engineering Identity.Davis, S., Nolen, S, & Koretsky M. (in preparation A). Shifting Instructional Practices through Co-teaching: A CHAT Analysis of Organizational LearningDavis, S., Nolen, S, & Koretsky M. (in preparation B). Inclusive Excellence: Synergies Between Equity and Student Learning in PracticeEfu, S. I. (2019). Exams as learning tools: A comparison of traditional and collaborative assessment in
Center for Science and Engineering Statistics, “Women, minorities, and persons with disabilities in science and engineering: 2019,” https://ncses.nsf.gov/pubs/nsf19304/data, 2019, accessed: 2021-5-24. [4] H. S. Al-Khalifa, H. R. Faisal, and G. N. Al-Gumaei, “Teaching mobile application development in 20 hours for high school girls: A web-based approach,” in 2019 IEEE Global Engineering Education Conference (EDUCON), 2019, pp. 16–21. [5] Y. Chen, Z. Chen, S. Gumidyala, A. Koures, S. Lee, J. Msekela, H. Remash, N. Schoenle, S. Dahlby Albright, and S. A. Rebelsky, “A middle-school code camp emphasizing digital humanities,” in Proceedings of the 50th ACM Technical Symposium on Computer Science Education, ser. SIGCSE ’19. New York
of an underlying factor(s), indicating that factor analysis is possible. Bartlett’s test ofsphericity measures the hypothesis that the item correlation matrix is an identity matrix, whichrepresents that factor analysis is not possible as the items are unrelated. A significant test result (p< 0.05) rejects the null hypothesis, indicating that the data are factorable [25].The number of factors were then determined using a scree plot examination, Kaiser test, andparallel analysis [24]. The scree plot is a line plot of eigenvalue factors that shows the point atwhich extracting more factors does not explain more variance. The Kaiser method retains factorswith eigenvalues greater than 1 [24]. Parallel analysis helps determine meaningful factors
academicsettings, was found to be significantly (p<0.05) different for males and females. This isconsistent with the results from Rodriguez & Esparrago [21]’s study which used the intrinsicmotivation inventory to determine that male and female students have significant differences inhow they are motivated by choice. Their study, which used a pretest/posttest design to study theimpacts of a multinational design project on motivation, found that female students did notexperience a reduction in their choice score after the design project. It is possible that the resultsof the current study describe consistency in the female student’s motivational scores alongside adecrease in overall academic motivation for males although this cannot be determined for
presented at the conference. In addition, the review of criticalincidents related to RQ2 is ongoing. Future work pertaining to RQ2 will include (1) continuingextracting incidents for all remaining participants, (2) sorting incidents into current themes andcategories, and, as appropriate, defining new themes, and (3) disseminating results in a scholarlyjournal. Finally, RQ3 will seek to identify how Phase 1 and 2 results align with extant theoriesand frameworks utilized in engineering education.Acknowledgement:This material is based upon work supported by the National Science Foundation under Grant No.1737303. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily
also gratefully acknowledge the students, facilitators, courseparticipants, the University of Geneva (InZone) as a research and academic partner, and UNHCRas an implementing partner.References[1] A. S. Mahamud et al., “Epidemic cholera in Kakuma Refugee Camp, Kenya, 2009: the importance of sanitation and soap,” J. Infect. Dev. Ctries., vol. 6, no. 03, pp. 234–241, Nov. 2011, doi: 10.3855/jidc.1966.[2] M. Al-Addous, M. N. Saidan, M. Bdour, and M. Alnaief, “Evaluation of Biogas Production from the Co-Digestion of Municipal Food Waste and Wastewater Sludge at Refugee Camps Using an Automated Methane Potential Test System,” Energies, vol. 12, no. 1, p. 32, Dec. 2018, doi: 10.3390/en12010032.[3] P. Dankova and C
: Discuss. The instructor discusses the RL problem, how the engineer would use math and statistics to address the problem, and the impact of the RL problem on the society and community. If the instructor can also demonstrate the instruments used for data collection, then use of such instruments in the RL problem will be covered. (2) S: Solve. The students work on the problem, they device a plan to solve the problem, and implement their plan. This would follow Polya’s four-step method of solving mathematical problems, thus reinforcing that concept. (3) R: Reflect. Students reflect on the problem, and they use information related to the RL problem to check if the values calculated are reasonable
. References[1] N. Duval-Couetil, E. C. Kisenwether, J. Tranquillo, and J. Wheadon, “Catalyzing the adoption of entrepreneurship education in engineering by aligning outcomes with ABET,” in ASEE Annual Conference & Exhibition, 2014.[2] J. Gandhi and D. S. Deardorff, “An Implementation of Innovative Thinking in The Entrepreneurship Cur- riculum for Engineers An Implementation of Continuous Improvement in Instilling Innovative Thinking in The Entrepreneurship Curriculum for Engineers,” in ASEE Annual Conference & Exhibition, 2014.[3] J. F. Sullivan, L. E. Carlson, and D. W. Carlson, “Developing Aspiring Engineers into Budding Entrepreneurs : An Invention and Innovation Course,” J. Eng. Educ., no. October