strongleaders and strong engineers.T ABLE 1 : S AMPLE S URVEY Q UESTIONS Survey Sample Question Focus CodesectionPart 1: Age: 20-29; 30-39; 40-49; 50-59; 60+ Self Demographics (AgeDemographics Category)Part 2: As a student, when dreaming about my future, I Self Time (student)Student imagined doing technically complex work. Situationexperiences (1 never, 2 rarely, 3 occasionally, 4 frequently, 5 (aspiration/satisfaction
humor by an instructor is 1.60 1.58 1.68 typically a waste of classroom time. 5. I feel more comfortable asking an 3.83 4.25 4.43 instructor a question if s/he uses humor in the classroom. 6. An instructor’s job is to teach, not 2.83 2.33 2.75 entertain. 7. I would rather have an instructor try to be 4.14 4.17 4.00 humorous and fail rather than not try to be humorous at all. 8. I am sometimes offended by the uses of 1.43 1.79 1.72 humor by an instructor. 9. I am likely to go to class where the 4.13 4.30 4.50 instructor uses some humor. 10. An instructor doesn’t have to use humor 3.96 3.42 3.50 to be an
Paper ID #12213BRCC to LSU Engineering Pathway to SuccessMrs. Sarah Cooley Jones, Louisiana State UniversityDr. Warren N. Waggenspack Jr., Louisiana State University Page 26.288.1 c American Society for Engineering Education, 2015 BRCC to LSU Engineering Pathways to SuccessABSTRACTThe National Science Foundation (NSF) S-STEM funded scholarship program, EngineeringPathway to Success, is a joint effort of the College of Engineering at Louisiana State University(LSU) and Baton Rouge Community College (BRCC), and it
. New York: Teacher College, Columbia University. 9. Cashman, S. B. & Seifer, S. D. (2008). Service-learning: An integral part of undergraduate public health. American Journal of Preventive Medicine, 35(3), 273-278. 10. Chang, J. C. (2002). Women and Minorities in the Science, Mathematics and Engineering Pipeline. ERIC Digest. 11. Chen, G., Gully, S. M. & Eden, D. (2001). Validation of a new general self-efficacy scale. Organizational Research Methods, 4(1), 62-83. 12. Cora-Bramble, D. (2006). Minority faculty recruitment, retention and advancement: applications of a resilience-based theoretical framework. Journal of Health Care for the poor and underserved, 17(2), 251-255. 13. Downes, E. A
McIntyre and Caitlin O’Brian is appreciated.References1 Fugate, C. M., Zentall, S. S. & Gentry, M. Creativity and Working Memory in Gifted Students With and Without Characteristics of Attention Deficit Hyperactive Disorder: Lifting the Mask. Gifted Child Quarterly 57, 234-246 (2013).2 White, H. A. & Shah, P. Uninhibited imaginations: Creativity in adults with Attention- Deficit/Hyperactivity Disorder. Personality and Individual Differences 40, 1121-1131, doi:http://dx.doi.org/10.1016/j.paid.2005.11.007 (2006).3 White, H. A. & Shah, P. Creative style and achievement in adults with attention- deficit/hyperactivity disorder. Personality and Individual Differences 50, 673-677, doi:http://dx.doi.org
enoughto ensure proper use of it. However, there were participants who were content with theircompanies because of a perception of objectivity in the workplace.This study allowed the researchers to view the many issues surrounding lack of diversity in thetechnology industry, which lays a foundation for future studies on how diversity can beimproved in the technology industry.ReferencesAnzaldúa, G. E. (1990). Making face, making soul/hacienda caras: Creative and critical perspectives by feminists of color. San Francisco: Aunt Lute books.Bell, E. L. (1990). The bicultural life experience of career-oriented black women. Journal of Organizational Behavior, 11(6), 459-477.Camacho, M. M., & Lord, S. M. (2011). “Microaggressions" in
education.References[1] National Center for Veterans Analysis and Statistics, “Education program beneficiaries,” 2014.[2] ABET, “Accreditation policy and procedure manual (APPM), 2016 – 2017,” 2016.[3] J. B. Main, M. M. Camacho, C. Mobley, C. E. Brawner, and S. M. Lord, “Using focus groups to understand military veteran students’ pathways in engineering education,” in ASEE Annual Conference and Exposition, 2016, pp. 1–9.[4] US Department of Veterans Affairs, “Office of Public and Intergovernmental Affairs,” 2018.[5] K. McBain, L.; Kim, Y.; Cook, B.; Snead, “From Soldier to Student II: Assessing Campus Programs for Veterans and Service Members.,” Washington D.C., American Council on Education, 2012.[6] R. Ackerman, R., Diramio, D
The STEM Gender Gap: An Evaluation of the Efficacy of Women in Engineering Camps Author Name(s) Malle Schilling and Dr. Margaret Pinnell School of Engineering University of Dayton Dayton, Ohio 45469 Email: schillingm3@udayton.eduAbstractIn the present day, it is not uncommon for there to be a class full of engineering students withvery few women in the room. To combat this lack of gender diversity, colleges and universitieshave employed outreach programs and developed summer engagement opportunities that allowwomen to explore engineering before they graduate high school. As
placement scores of Group 1 unexpectedly decreased, which pose a new and interesting research question on the value of motivation that will be further studied and discussed separately. Group 1 and 3 are excluded from the analysis of the Engineering Summer Bridge results. ALEKS Math Semester(s) of No. of Students GPA Math SAT Fall 2019 Placement recommended Placement Pre- Pre- Post
Colleges, 1982.[7] I.H. Settles, L.M. Cortina, J. Malley, A.J. Stewart, “The climate for women in academic science: The good, the bad, and the changeable,” Psychology of Women Quarterly, 30(1), 2006, 47-58.[8] C.L. Maranto, A.E. Griffin, “The antecedents of a ‘chilly climate’ for women faculty in higher education,” Human Relations, 64(2), 2011, 139-159.[9] L. Howe-Walsh, S. Turnbull, “Barriers to women leaders in academia: Tales from science and technology,” Studies in Higher Education, 41(3), 2016, 415-428.[10] K.N. Miner, S.C. January, K.K. Dray, A.R. Carter-Sowell, “Is it always this cold? Chilly interpersonal climates as a barrier to the well-being of early-career women faculty in STEM,” Equality
)Kinyua, A., Negusse, E., Adesua, E.D. Adedapo, A., Akingbola, T., Isa, A., Oshineye, O., Yazdandoust, F.,Adedoyin, A., Mirindi, D., Isola F., Payne K., Owusu, G.K., Mallory, K., Wilson, K., Houston, T., Peterson,M., Dzotcha, A., Ariyibi, A., Pramanik, S., Koissi, N., Moncrieffe, K., Damoah, R., Murdock, M., Dyson, K.,Almahdi, A., Bista, K., Gaulee, U., Peters, K., Owolabi, O., OladoKun, H., Addo E., Keels-Fields, T., Holmes,C. and Wilson, J. Morgan State University, 1700 East Cold Spring Lane, Baltimore, MD, USA.AbstractOur HBCU has a well-established record of providing quality college and pre -college programs in mostacademic disciplines in the state and the nation. We present our on-going experiences in thedevelopment and
observed. The CW scores weresignificantly different between female and male students, except for black/white shading. Therewere no significant differences between the AE scores for female versus male students. Therewas a negative correlation between CW and ISE scores. A correlation between multilingualismand travel with artistic creativity and ISE attributes could not be established. The results illustratethat there are significant differences between artistic creativity and innovation attitudes inengineering students.AcknowledgmentsThis material is based in part on work supported by the National Science Foundation underAward No. 2205067. Any opinions, findings, conclusions, or recommendations expressed in thismaterial are those of the author(s
essential courses.Ultimately, the course's emphasis on practical, experiential learning aligns with the educationalphilosophies of smaller institutions, providing a unique opportunity for students to explore andunderstand the various engineering disciplines through collaborative projects, thereby enhancingtheir readiness for future academic and professional pursuits.AcknowledgmentThis work is an initiative supported by the Department of Education Title V grant for “City TechSTEM Success Collaborative” (2021-2026). Project number P031S2210228. Director: ShelleySmith.Thanks to Amy A. Germuth, Founder and President of EvalWorks, for her help in developing andanalyzing the student survey.References[1] S. N. Neagu, “The Motivational Factors Involved in
://doi.org/10.7771/2157-9288.1308[3] Denton, M., Borrego, M., & Boklage, A. (2020). Community cultural wealth in science, technology, engineering, and mathematics education: A systematic review. Journal of Engineering Education, 109(3), 556–580. https://doi.org/10.1002/jee.20322[4] Siregar, E., Rachmadtullah, Y., Pohan, R., Rasmitadila, N., & Zulela, M. S. (2019). The impacts of science, technology, engineering, and mathematics (STEM) on critical thinking in elementary school. In Journal of Physics: Conference Series (Vol. 1175, p. 012156). IOP Publishing.[5] Whittaker, J. A., & Montgomery, B. L. (2012). Cultivating Diversity and Competency in STEM: Challenges and Remedies for Removing Virtual Barriers
increases inthe service sector, manufacturing plays an important role in the gross domestic product (GDP) inthis region, and GDP shows continuous growth over the last decade [14]. Manufacturingrepresents more than 15% of GDP in T.N., and advanced manufacturing has seen significantinvestment and growth recently [15, 16]. We can use T.N.’s 1st Congressional District as anexample of area demographics. The area lags behind the rest of the nation with an overall povertyrate of 15.4%, while 22% of children fall below the federal poverty line [17]. Demographic dataare summarized in Table 1.In addition to traditional manufacturing industries, Tennessee as a whole has a thriving lifesciences-based economy. Bioeconomic centers exist primarily around Memphis
' experiences with the CAVE technology, particularly within the distinctive context ofHBCU engineering programs. The study is structured around two guiding research questions thatform the framework for the extensive investigation undertaken. 1. Does Korkmaz et al.’s (2017) [4] CT scale effectively measure the underlying construct of CT in HBCU engineering students? 2. To what extent do HBCU engineering students believe that the integration of the CAVE into the curriculum enhances their CT skills relevant to engineering? The paper is organized as follows: In Section 2, the problem statement is presented. Section3 offers a background on immersive technology and CT in engineering education. The researchdesign and methodology used in
approaches to GenAIliteracy should therefore explicitly address these power dynamics while making space for diverselanguages, identities, and ways of making meaning in engineering.ReferencesAdúriz-Bravo, A. , Chion, A.R. & Pujalte, J.P. (2013). “Scientific Literacy.” Encyclopedia of Science Education. DOI 10.1007/978-94-007-6165-0_262-1.Alexis, C. & E. Leake. “The Stylized Portrayal of the Writing Life in Spike Jonze’s Her” in Style and the Future of Composition Studies, Ed. by Paul Butler, Brian Ray, and Star Medzerian Vanguri. Utah State UP, 2020, 85-97.Ariyo Okaiyeto, S., J. Bai, & H. Xiao. (2023). Generative AI in education: To embrace it or not. International journal of agricultural and biological
Statistics. Retrieved July 8, 2023, from https://nces.ed.gov/programs/digest/d22/tables/dt22_311.15.asp 5. Heyman, E. (2010). Overcoming student retention issues in higher education online programs: A Delphi study. University of Phoenix. 6. Christensen, G., Steinmetz, A., Alcorn, B., Bennett, A., Woods, D., & Emanuel, E. (2013). The MOOC phenomenon: Who takes massive open online courses and why? Available at SSRN 2350964. 7. Bawa, P. (2016). Retention in online courses: Exploring issues and solutions—A literature review. Sage Open, 6(1), 2158244015621777. 8. Brunhaver, S., Bekki, J., Lee, E., & Kittur, J. (2019, March). Understanding the factors contributing to persistence
provided an example of how “bigdata” and algorithms determine credit scores: “The algorithm that's used to determine that is so mysterious. No one really knows what's going into it and how different companies aggregate that data and make a determination on someone[’s score]. A lot of people say the algorithm isn’t going to discriminate, but [it can]” (P02 White man domestic student).The concern regarding the inner workings of AI models and smart devices was intensified amongECE students who, reflecting on their own lengthy training, realize that most users lack thisexpertise and might unknowingly expose themselves to risks. “All of us are using small AI toolsat home with Siri and Alexa, and I feel all these tools are
proactive in scaling the program to a larger group of students. References1. K. Chandra and S. Tripathy, "RAMP to Success: Program Design and Outcomes Report for 2018 Launch," Francis College of Engineering, University of Massachusetts Lowell, 2018. [Online]. Available: https://www.uml.edu/docs/ramp2018-final-report_tcm18-309285.pdf.2. S. Tripathy, K. Chandra and D. Reichlen, "Participatory Action Research (PAR) as Formative Assessment of a STEM Summer Bridge Program," Proc. ASEE Virtual Annual Conference, 2020 https://peer.asee.org/339573. S. Tripathy, K. Chandra, H. Hsu, Y. Li and D. Reichlen, “Engaging Women Engineering Undergraduates as Peer Facilitators in Participatory Action Research
for bringing deep and complex insights into fields - but relies onthe capacity for reflexivity and connection of their reflection on experience to a field’s existing knowledgebase [22]. It is not, nor is it meant to be immediately generalizable - acknowledging and leveraging itsgrounding in one’s own experience to garner unique insights.Facilitated, sometimes called collaborative, autoethnography is a version of autoethnography in which theprocess is supported by someone with either/both expertise in ethnographic research or research in thefield in question [14], [15]. In facilitated autoethnography, the outside researchers (usually calledfacilitators) and participant(s) (participant-researchers) interact to aid in the elicitation of
writing In-class activity2.1 Week 1: First In-person Meeting Activity: Setting Up Your Goal2.1.1 Use of MentimeterIn the first in-person class, the course expectations are introduced. A Mentimeter is used to makethe session interactive and engaging. The following questions are asked during the first meeting,allowing students to see their responses in real-time: How are you today? Use one word todescribe how you feel now. How do you rate your current writing skill? (0-100 points). Howmany journal articles (not including conference presentations) have you published so far? Whatare your expectations for this course? Have you used AI (e.g. ChatGPT) in your academic work?Which area(s) do you find challenging when starting to write? How are
for the National Center for Women in Information Tech- nology (NCWIT) and, in that role, advises computer science and engineering departments on diversifying their undergraduate student population. She remains an active researcher, including studying academic policies, gender and ethnicity issues, transfers, and matriculation models with MIDFIELD as well as student veterans in engineering. Her evaluation work includes evaluating teamwork models, statewide pre-college math initiatives, teacher and faculty professional development programs, and S-STEM pro- grams.Dr. Susan M. Lord, University of San Diego Susan M. Lord received a B.S. from Cornell University and the M.S. and Ph.D. from Stanford University. She is
[by using Copilot] as I would [have by] writing every line. […] I typed the comment and then in five seconds I have 10 lines of function versus that's going to take me two minutes to write 10 lines of function.” [Par. 3]Par. 3’s comment is representative of a general sentiment among students that that they solvedproblems faster when they included LLMs into their workflow.3. Knowledge retention concernsEight students acknowledged that they were unsure if their LLM usage contributed to a lack ofknowledge retention. Throughout the interviews, students revealed that at times they interactedwith LLM solely with the intention of retrieving a solution to implement into their projectwithout genuinely learning the content. For example, one student
frameworkto use when promoting community-engagement among engineering students asdemonstrated through a specific case-study of raising awareness of antibiotic resistance.Future efforts should include “scaling-up” this approach to include additional instructorsas well as “expanding” this approach to explore additional subject matter such as thefood-energy-water nexus, zero waste, and climate resilience among other topics forenvironmental health literacy.References 1. R. Aminov, R”A brief history of the antibiotic era: Lessons learned and challenges for the future,” Front. Microbiol., vol. 1, no. 134, 2010. [Online] Available: https://doi.org/10.3389/fmicb.2010.00134. 2. S. Oerther and D.B. Oerther, “Antimicrobial resistance
. 45–52, 2018. [2] M. Villafa˜ne-Delgado, E. C. Johnson, M. Hughes, M. Cervantes, and W. Gray-Roncal, “STEM leadership and training for trailblazing students in an immersive research environment,” in 2020 IEEE Integrated STEM Educa- tion Conference (ISEC), pp. 1–4, 2020. [3] S. E. Page et al., “Prologue to the difference: How the power of diversity creates better groups, firms, schools, and societies,” Introductory Chapters, 2007. [4] M. Estrada, G. R. Young, J. Nagy, E. J. Goldstein, A. Ben-Zeev, L. M´arquez-Maga˜na, and A. Eroy-Reveles, “The influence of microaffirmations on undergraduate persistence in science career pathways,” CBE
] analyzed the “low-choice culture” of engineering curricula, particularly incontrast to other fields of study. In the context of new research demonstrating the value of selfdetermination or autonomy for students in motivating learning, enhancing self-efficacy, andsupporting persistence, the relative inflexibility of engineering curricula stood out starkly. Withinindividual courses, studies have shown the “power of choice” to positively influence studentoutcomes, for example, when students may choose from among a menu of design projects[45, 46], and recommendations have been made for the design of self-determination supportiveengineering-student learning experiences [47, 48]. However, Forbes, et al.,’s statistical analysis ofthe curricula at 46
1.708Sibling(s) encouraged me toward STEM career .023 .633STEM is involved in father’s career .034 .750Female students who reported being interested in an engineering career at the beginning of highschool had higher odds of choosing engineering as a career at the end of high school (OR =9.500; Table 4). It was noticeable that interest in engineering in middle school no longerincreased female students’ odds of choosing engineering as a career at the end of high school. Itcould be inferred that female students’ engineering career interest in middle school only affectedtheir interest at the beginning, not the end of high school, as students might have the option totake more
point, it is essential tointegrate this content into both curricular and co-curricular efforts. It is not enough to spend asingle hour engaged in this work. It is important to find ways to encourage students to explorethese topics in more depth and to allow them to continue to engage in meaningful discussions asthey develop their personal and professional identities.References[1] B. O. Barefoot, C. L. Warnock, M. P. Dickinson, S. E. Richardson and M. R. Roberts, "Exploring the Evidence: Reporting Outcomes of First-Year Seminars. The First-Year Experience. Volume II. Monograph Series, Number 25.," National Resource Center for the First-Year Experience and Students in Transition, 1998.[2] C. Boudreau and J. Kromrey, "A longitudinal