professional growth. As a result, theCumulative GPA, Retention Rate, and Graduation Rate of these NSF STEM Scholarssignificantly increased, and graduation time needed significantly decreased compared to theirpeers.5. AcknowledgementNational Science Foundation, NSF S-STEM Award#1564893 and Award#2129961.References[1] Commission on Professionals in Science and Technology, (2018). Four Decades of STEM Degrees, 1966-2004: The Devil is in the Details, Commission on Professionals in Science and Technology, Accessed May, 2020 from http://www.careercornerstone.org/ccnews/pdf/ stem6report.pdf[2] Olson, S. & Riordan, D. G., (2012). Engage to Excel: Producing One Million Additional College Graduates with Degrees in Science, Technology
. (1998). Gender Differences in Visualization Skills-An International Perspective. The Engineering Design Graphics Journal, 62(3).3. Leopold, C., Górska, R. A., & Sorby, S. A. (2001). International Experiences in Developing the Spatial Visualization Abilities of Engineering Students. In Journal for Geometry and Graphics (Vol. 5, Issue 1).4. Veurink, N. L., Hamlin, A. J., Kampe, J. C. M., Sorby, S. A., Blasko, D. G., Holliday-Darr, K. A., Trich Kremer, J. D., Harris, L. V. A., Connolly, P. E., Sadowski, M. A., Harris, K. S., Brus, C. P., Boyle, L. N., Study, N. E., & Knott, T. W. (2009). Enhancing Visualization Skills-Improving Options aNd Success (EnViSIONS) of Engineering and Technology Students. The Engineering
opens a wide range of opportunities to investigate other strategies to implementnarrative pedagogy in FYE. In order to validate this innovative approach, we will collectadditional data during Spring 2025 in order to investigate instructor and student experiences bycollecting surveys, interviews, videos, and classroom observation. In the future, we plan toexplore additional strategies for incorporating narrative elements and modifying course materialswith less effort required from the instructor.References[1] S. Chatman, Story and discourse: Narrative structure in fiction and film. Ithaca, NY: Cornell University Press, 1978.[2] L. R. Churchill and S. W. Churchill, “Storytelling in Medical Arenas: The Art of Self-Determination,” Lit
) Reichelderfer Endowed Chair awarded in June 2022 to Dr. Estell.We would like to thank the 2024 Program Chair for the Computers in Education Division(CoED), Dr. Jean Mohammadi-Aragh, for allowing the body of this paper to extend beyondCoED’s 10-page limit as specified in the Call for Papers for this Annual Conference.References[1] C. Thompson, "The Secret History of Women in Coding," The New York Times, 13 February 2019. [Online]. Available: https://www.nytimes.com/2019/02/13/magazine/women-coding-computer-programming.html. [Accessed 11 January 2024].[2] S. Cheryan, A. Master and A. Meltzoff, "There Are Too Few Women in Computer Science and Engineering," Scientific American, 27 July 2022. [Online]. Available: https://www.scientificamerican.com
in opened to thousands of students.the author’s experience) of extremely successful software 5. PRELIMINARY RESULTS AND CONTRIBUTIONS 3. Liberal Arts/ Other à On- 5.1 Results: the-job In the spring of 2015, NSF awarded Stevens with an S- 2. Engineering/ training STEM grant for $635K, of which $535K is for Quant Degree 4. Self taught, Bootcamps
study is informed by the need to address the well-documentedunderrepresentation of low-socioeconomic status (SES) and minoritized students in engineeringand other related careers [1]–[3]. Researchers advanced that, in addition to intellectual andscientific reasons, low-income students are attracted to the major by the potential prospect ofemployment after completing a degree [1], [4]. Financial considerations are critical for low-SESengineering students; this includes considerations of financial aid and differential tuition [5].Programs such as the National Science Foundation Scholarships in STEM (S-STEM) have beenimplemented to address financial assistance of low-SES students. This study is part of alongitudinal five-year S-STEM project
engineers’ satisfaction with helping people and society through their jobs. European Journal of Engineering Education, 44(6), 939–953.Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.Canning, E. A., Harackiewicz, J. M., Priniski, S. J., Hecht, C. A., Tibbetts, Y., & Hyde, J. S. (2018). Improving performance and retention in introductory biology with a utility-value intervention. Journal of Educational Psychology, 110(6), 834.Cech, E. A. (2014). Culture of disengagement in engineering education? Science, Technology, & Human Values, 39(1), 42–72.Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of
students’ motivational factors that led them to choose and continue topursue an engineering baccalaureate degree(s).This studied used Eccles's (1983) expectancy-value theory of motivation as the guidingtheoretical framework to show the relationship between competence and value beliefs as themotivated actions towards earning an engineering degree. It relates competence to, “Can I earnan engineering degree?” and task value beliefs to, “Do I want to earn an engineering degree?”Twenty students (12 first-year and 8 second-year low-income engineering transfer students) wereinterviewed about their experiences in engineering. Additionally, these twenty studentscompleted a survey collecting data on their demographics, recognition, social belongingness
speakers in Chinese andEnglish, to better understand the effects of foreign language on ethical judgments. Finally, asmentioned above, this survey will be re-administered to participants on a yearly basis for the nextthree years, to check the reliability of the MFQ and the effects of education on the normativeperspectives described here.References[1] S. Canaves, “Shanghai building collapses, nearly intact,” Wall Street Journal, 29-Jun-2009. [Online]. Available: https://blogs.wsj.com/chinarealtime/2009/06/29/shanghai-building- collapses-nearly-intact/. [Accessed: 13-Apr-2018].[2] J. Berlinger, “22 killed in China building collapse,” CNN, 11-Oct-2016.[3] “China bullet train crash ‘caused by design flaws,’” BBC, 28-Dec-2011
al. Knowledge Management in 2004 Ireland 14 behaviors of students Leckie et al.'s[44] Project-Based Learning studying to become (PBL*) Engineering Teams professionals. Modifying the Quality Function Deployment (QFD) engineeringLeachman
White Male Tenure Track 1-5 Brownland University Kermit White Male Tenure Track 5-10 Brownland University Michael White Male Tenured >20 University C Rick White Male Tenured 10-15 Brownland University Sam White Female Tenured 5-10 Brownland University Sarah White Female Lecturer 15-20 Brownland University Sarah S White Female Tenure Track 5-10 Brownland University Scott White Male Tenured 15-20 Brownland University Suze
code for creation and analysis of a cam profile.%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%Program Name: CamAnalysis%%Program Description: Analyzes and Creates Cam Profile%%Inputs: Number of Zones and the Parametersassociated with% each%%Outputs: S,V,A,J Curves, Force, Power, Torque,Pressure Angle,% and Cam Profile Plots. Tabular Data Sets.Max Values.%%Date Created: 11-5-2016%%Revisions:%%0) 11-5-2016 Creation%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%clearclc%Parameters%s_harmonic = @(h,theta,Beta,Beta_time) h/2*(1-cos(pi*theta/Beta));v_harmonic = @(h,theta,Beta,Beta_time)pi*h/2/Beta_time
questions are presented in Table 4.Table 4 – Survey questions administered to participants. # Survey Questions and their Intended KSBA Model Elements SQ1 What ideas, concepts, knowledge, or facts have you learned? (K) SQ2 What skills have you developed? (S) How have some of your behaviors, habits, or practices changed, and/or what are SQ3 new ones that you have developed or adopted? (B) How have some of your attitudes or beliefs changed, and/or what are new ones SQ4 that you have developed or adopted? (A) Based on what you now know and have studied, how do you understand the idea SQ5 of Sustainability? (K) What
theparticipant to select an answer or multiple answers to a question, which correspond to one of thefour learning styles, each participant’s answers for each learning style were totaled. 1. Difference in Brain ActivationThe brain activations were averaged across all brain waves and across all brain regions for eachDesign Problem. Utilizing a t-test, it was determined that there were significant changes in brainactivations across multiple regions and across the varying waves. To further the conclusions ofthe results, a t-test was applied to each set to the individual brain waves to decisively determinewhich brain wave(s) and brain regions caused these strong correlations. The results of this testindicated that the Beta Low frequency was the most
from each identified document according to the following criteria:author/s, publication date, document type, purpose, study design/methods/sample, and outcomesor conclusions.Stage 5. Collating, summarizing, reporting results There were 90 papers identified from the first two databases that included “graduateprogram director” and “engineering” as search terms in the title/abstract/subject and 70 identifiedresults in the last database that searched specifically for “graduate program director” in all fields.In the screening phase, a total of 147 were screened and 134 excluded followinginclusion/exclusion criteria which included the title and abstract review and a skim of the fulltext when needed, thus leaving 13 records for analysis
culturally heterogeneous process where peopleengage in various repertoires of practices and literacies rooted in different communities [12],[13], [14]. Learning is revealed to be a collective, communal, reciprocal, and agentic activitywhere meaning is created in interaction with others [13], [15], [16], [17]. And because learning issituated and contextual, it does not escape from but is in fact deeply affected by the influence ofpower relationships.Learning happens within and between communities. People grow from being more novice toexperts. In communities of practice, learning is being facilitated through network(s) of cognition[13]. When it comes to learning, the flow of power occurs between people, activities and theenvironment [13], [18]. In
-centered design typepedagogies and the parallels between students’ interdisciplinary learning and faculty learning tonavigate institutional processes to create interdisciplinary courses [20]. Her recent research hasbeen to integrate social, political, and economic contexts into technical engineering courses. Asan actor in engineering education working to integrate broader societal contexts into theengineering curriculum at Tufts University, Ozkan’s positioning as a practitioner and researcherof pedagogical change informs and motivates her to pursue this collaborative research oncontextualization.Human-Centered Design: Contextualization for Better Design(s)Research on engineering design education demonstrates how treatment of design
tofurther define and operationalize our definitions. Table 1 summarizes these themes, which will befurther elaborated in the following sections. (Though an analysis of the role of gender and activitystructure is beyond the scope of the present work, see [16] for a fuller discussion). The focus groupquotes are identified according to their structure and gender composition. US = Unstructured. S =Structured. PM = Predominantly Male. PF = Predominantly Female. B = Balanced.Table 1: Overview of salient themes and associated codes. Theme Operational Definition Associated Codes Challenges Difficulties and areas of stagnation or • Ideation preferences and confusion encountered by
is the relationship brokerand mediator between university, military, and government partners. As an example of howCMI2’s facilitation supports success, this paper’s Appendix includes an example Customer NeedsStatement for the LMTV camouflage deployer project carried out by UF ME. Developing thisdocument required several iterations between UF and 3ID to settle on parameters that met theArmy’s need to reduce vehicle camouflage deployment time while aligning with UF’s budget,resource, and experience constraints.Camo deployer development through UF ME and GT ME Capstone proceeded in three steps acrossmultiple semesters. First, given a Customer Needs Statement created in advance of the courses,undergraduate senior Capstone students developed
; Morris, M. W. (2010). Negotiating gender roles: Gender differences inassertive negotiating are mediated by women’s fear of backlash and attenuated when negotiatingon behalf of others. Journal of Social and Personality Psychology, 98, 256-267.Ameri, M., Schur, L., Adya, M., Bentley, S., McKay, P., & Kruse, D. (2015). The disabilityemployment puzzle: A field experiment on employer hiring behavior. The National Bureau ofEconomic Research. doi: 10.3386/w21560.Baker, P., & Copp, M. (1997). Gender matters most: The interaction of Gendered Expectations,Feminist Course Content, and pregnancy in student course evaluation. Teaching Sociology, 25,29-43.Barnum, P., Liden, R. C., & Ditomaso, N. (1995). Double jeopardy for women and minorities:Pay
mentorship program for underrepresented minorities (URM). She was a founding member of a STEAM Innovation Program at an urban vocational technical school servicing URM in STEM, where she taught Biology, Chemistry, and Biotechnology. Hilderbrand-Chae has a Masters’ De- gree in Genetics from Tufts University Medical School and now focuses research on epigenetic regulation influenced by substrate stiffness.Shalain Iqbal SiddiquiDr. Chiara E. Ghezzi Chiara Ghezzi, PhD is assistant professor in the department of biomedical engineering at University of Massachusetts Lowell. She received her undergraduate and masterˆa C™s degrees in biomedical engineer- ing from Politecnico di Milano, in Italy. During her dBryan Black
,” Soc. Psychol. Q., vol. 63, no. 3, pp. 224–237, 2000.[7] D. Collins, A. E. Bayer, and D. A. Hirschfield, “Engineering Education For Women : A Chilly Climate,” Women in Engineering Conference : Capitalizing on Today’s Challenges - 1996 WEPAN National Conference. pp. 323–328, 1996.[8] L. K. Morris and L. G. Daniel, “Perceptions of a chilly climate: Differences in traditional and non-traditional majors for women,” Res. High. Educ., vol. 49, no. 3, pp. 256–273, 2008, doi: 10.1007/s11162-007-9078-z.[9] K. F. Trenshaw, “Half as likely: The underrepresentation of LGBTQ+ students in engineering,” CoNECD 2018 - Collab. Netw. Eng. Comput. Divers. Conf., no. 2011, 2018.[10] J. Jorstad, S. S. Starobin, Y. (April) Chen
. Ofthe undergraduate students, 82% are white, 5.9% are Hispanic, 4.2% are African Americans, and0.3% are American Indian or Alaska Native. At the graduate level, these numbers are 80.6%,3.2%, 3.5%, and 0.4%, respectively. In comparison, the statewide demographics are: 79.2%white, 5.3% Hispanic, and 14.1% African American. Efforts to focus on inclusion and equity atthe university level have a long history. In the 1970’s, the university established the MulticulturalCenter that supported a wide range of cultural activities as well as academic and supportprogramming to the Minority Education Cohorts: Minority Science Education Cohort, MinorityTeacher Education Cohort, and Minority Business Education Cohort. This was the primaryapproach at the
Engineering Statistics (NCSES), “Diversity and STEM: Women, minorities, and persons with disabilities 2023,” National Science Foundation, Special Report NSF 23- 315, Alexandria, VA, 2023.[4] E. A. Cech and T. J. Waidzunas, “Navigating the heteronormativity of engineering: The experiences of lesbian, gay, and bisexual students,” Engineering Studies, vol. 3, no. 1, pp. 1-24, 2011.[5] E. Cech, “The (mis)framing of social justice: Why ideologies and meritocracy hinder engineers’ ability to think about social justice,” in Engineering Education for Social Justice: Critical Explorations and Opportunities, J. Lucena, Ed. Dordrecht: Springer, 2013, pp. 67 – 84.[6] S. Farrell, A. Godwin, and D. M. Riley, “A
experiences of faculty of color pursuing tenure in the academy. Urban Review, 41(4), 312–333. https://doi.org/10.1007/s11256-008-0113-yDowdy, J. K., Givens, G., Murillo, E. G., Jr., Shenoy, D., & Villenas, S. (2000). Noises in the attic: The legacy of expectations in the academy. Qualitative Studies in Education, 13(5), 429–446. https://doi.org/10.1080/09518390050156396Goldberg, C. E., & Baldwin, R. G. (2018). Win-win: Benefits of expanding retirement options and increasing the engagement of retired faculty and staff. New Directions for Higher Education, 182, 69–74. https://doi.org/10.1002/he.20281Guramatunhu-Mudiwa, P., & Angel, R. B. (2017). Women mentoring in the academe: A faculty cross-racial
75th percentiles,respectively, and the whiskers extend to data points not considered to be outliers. Outliers areplotted as red +’s. If there are no boxes, then all responses besides the median response areconsidered to be outliers.Figure 1: Statistics for responses to survey question 1: How would you rate your study habits whilelearning remotely as compared to learning in person? 1=better in person, 7=better remotelyFigure 2: Statistics for responses to survey question 2: How would you rate your access to re-quired technology (e.g., computer and internet) while learning remotely as compared to learningin person? 1=better in person, 7=better remotelyAs shown in Figure 1, students generally reported a significant negative impact of
askedparticipants to describe ways to improve entrepreneurship education programs, with specificattention to women faculty experiences.Table 1. Description of Participants Participant Race and Gender Discipline STEM Entrepreneurship Positionality Education Programming Participation Status (Yes/No) Dr. J Black woman (she/her) Engineering No Dr. Sh Black woman Engineering No (she/they) Dr. C Black woman (she/her) Engineering No Dr. W Black woman (she/her) Engineering Yes Dr. S Black
stereotypes regarding AfricanAmericans academic capabilities, their numerical majority status within the HBCU context actsas a buffer enabling them to perceive their racial and professional identity as compatible andintegrated. On the contrary, the numerical minority status of African American engineeringstudents in PWI exacerbates their vulnerability to feel threatened by the negative stereotypesabout their group. Even as they struggle to maintain a positive ethnic identity, they question thecompatibility between their ethnic and professional identities. As Du Bois states, it is the tensionthat impedes “fluid participation in Black world(s) and white world(s)”. It is for this reason thatAfrican American engineering students in PWIs may struggle more