across academic, technological, andethical domains.References[1] Goldman Sachs, "Generative AI could raise global GDP by 7%," 5 April 2023. Retrieved from https://www.goldmansachs.com/intelligence/pages/generative-ai-could-raise-global- gdp-by-7-percent.html[2] McKenzie and Company, "The economic potential of generative AI: The next productivity frontier," 2023. Retrieved from https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic- potential-of-generative-ai-the-next-productivity-frontier[3] T. Eloundou, S. Manning, P. Mishkin and D. Rock, "GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models," 2023. Retrieved from https://arxiv.org
Scholarship on Academic Advising, vol. 20, pp. 26–41, 2018. [5] D. L. Peters, “Engineering strong bridges: Review of college bridge programs,” in 2023 ASEE North Central Section Conference, 2023. [6] S. M. Jones, “Cultivating diversity and inclusion in higher education: The role of graduate school preparation programs,” Urban Education Research & Policy Annuals, vol. 2, no. 1, 2014. [7] C. Tanenbaum, S. Cole, R. Gonz´alez, and M. Essoka, “Who can succeed? how bridge to the doctorate programs are changing the conversation around admissions practices in stem,” Understanding Interventions, vol. 11, no. 2, 2020. [8] A. L. Rudolph, K. Holley-Bockelmann, and J. Posselt, “Phd bridge programmes as engines for access, diversity and
B. A. Montelone, “KS-LSAMP pathways to STEM: A system approach to minority participation in STEM,” in Proceedings of the American Society for Engineering Education Annual Conference, Seattle, WA, USA, June 14-17, 2015. Available: https://peer.asee.org/24389[2] C. S. H. Kamphoff, Bryant I; Amundsen, Scoot A, Atwood, Julie A, "A motivational/empowerment model applied to students on academic probation". Journal College Student Retention, vol. 8, no. 4, pp. 397-412, 2006.[3] A. Bandura, Self-efficacy: The exercise of control. New York: Freeman, 1997.[4] W. Glasser, Reality therapy in action. New York: HarperCollins, 2000.[5] J. L. Bloom, and N. A. Martin, “Incorporating appreciate inquiry into academicadvising
Conference.Bates, N., Chin, M., & Becker, T. (2022). Measuring sex, gender identity, and sexual orientation. In Measuring Sex, Gender Identity, and Sexual Orientation. National Academies Press. https://doi.org/10.17226/26424Butterfield, A. E., McCormick, A., & Farrell, S. (2018). Building LGBTQ-inclusive chemical engineering classrooms and departments. Chemical Engineering Education, 52(2), 107– 113. http://search.ebscohost.com/login.aspx?direct=true&AuthType=ip,shib&db=eric&AN=EJ11 74630&site=ehost-live%0Ahttp://journals.fcla.edu/cee/article/view/105856Cech, E. A. (2014). Culture of disengagement in engineering education? Science, Technology, & Human Values, 39(1), 42–72. https://doi.org/10.1177
-human transference system encompasses user inter-action mechanisms, real-time control pathways, parameter sharing between local and cloud AImodels, and an ethical optimization process that integrates user satisfaction and privacy safeguards.This section outlines the principal equations that govern how user inputs and system states flowthrough the AI middleware, how control signals are assigned to local and cloud components, andhow experiential knowledge is updated across different domains.First, let us define the user interactions across multiple modalities, such as text or speech: (m) (m) S(t
a description of how the budget will be used. a. For continuing project proposals: How does your project build on last year’s project? (Recommended: use your previous project’s evaluations, outcomes, and/or impact.)4. Project Rationale: How does your project support broadening participation in engineering?5. Project Audience: Faculty, Staff, Undergraduate Students, Graduate Students, Community Partners, etc.6. Project Category: E.g., improved support of graduate or undergraduate education, departmental culture, understanding areas for improved student support, mentoring practices, and student recruitment practices7. Research Question(s): What question(s) do you seek to answer with this project?8. Metrics
explanations, opinion, judgment, etc Ind Individual thinking/problem solving. CG Discuss clicker question in groups of 2 or more students WG Working in groups on worksheet activity OG Other assigned group activity, such as responding to instructor question Prd Making a prediction about the outcome of demo or experiment SP Presentation by student(s) TQ Test or quiz W Waiting O Other – explain in comments Instructor is Doing Lec Lecturing RtW Real-time writing on board, doc. projector, etc. Fup Follow-up/feedback on clicker question or activity to entire class PQ Posing non-clicker question to students (non-rhetorical) CQ Asking a clicker question AnQ
rate for computer science students,”ACM SIGCSE Bulletin, vol. 37, no. 2, pp. 103–106, Jun. 2005, doi: 10.1145/1083431.1083474.[6] K. J. Bunker, L. E. Brown, L. J. Bohmann, G. L. Hein, N. Onder, and R. R. Rebb,“Perceptions and influencers affecting engineering and computer science student persistence,” in2013 IEEE Frontiers in Education Conference (FIE), 2013, pp. 1138–1144.[7] B. Burd et al., “The internet of things in undergraduate computer and information scienceeducation: Exploring curricula and pedagogy,” Jul. 2018. doi:https://doi.org/10.1145/3293881.3295784.[8] M. Felleisen, R. B. Findler, M. Flatt, and S. Krishnamurthi, “The structure and interpretationof the computer science curriculum,” Journal of Functional Programming, vol. 14, no
-line course structure? 15. Do you consider yourself skilled enough in computer literacy to succeed in an on-line environment? 16. Did you encounter technical problems due to the on-line environment?References[1] M. Abdous and M. Yoshimura, "Learner outcomes and satisfaction: A comparison of live video-streamed instruction, satellite broadcast instruction, and face-to-face instruction," Computers & education, vol. 55, no. 2, pp. 733-741, 2010.[2] J. M. Allen and F. Vahid, "Experiences in Developing a Robust Popular Online CS1 Course for the Past 7 Years," in ASEE Annual Conference, 2020.[3] S. F. Shady, "Approaches to teaching a biomaterials
degrees, either completing multiple degrees atHBCUs or only attaining their undergraduate degree at an HBCU before attending a differenttype of institution for graduate studies. As Crewe [3] further notes, depending on the institutionthat awarded the graduate degree(s), recognition of success may be framed around the alumni’snon-HBCU campus environments rather than how one’s undergraduate HBCU campusexperiences helped lay the foundation for academic achievement. Such narratives areproblematic and speak to the need to further highlight the critical and supportive role HBCUsplay in producing Black STEM professionals. Additionally, there remains a critical gap in theliterature that details the graduate school decision-making process for HBCU
78 Urban Geography Match 2 Mentee Black Male 36 Mechanical Engineering Mentor White Male 69 Mechanical Engineering Match 3 Mentee Black Male 38 Chemical and Biomolecular Engineering Mentor White Male 74 Biomedical, Chemical, and Biomolecular Engineering Match 4 Mentee Black Male 31 Mechanical Engineering Mentor White Male 84 Mechanical Engineering Match 5 Mentee Black Male 35 Mechanical Engineering Mentor S. Asian Male 73 Mechanical Engineering Match 6 Mentee Black Male 54 Manufacturing Engineering Technology Mentor White Male 76 Manufacturing
., “Engineering by the numbers,” American Society for Engineering Education, Washington D.C., 2017.[4] M. F. Fox, “Institutional Transformation and the Advancement of Women Faculty: The Case of Academic Science and Engineering,” in Higher Education, J. C. Smart, Ed. Springer Netherlands, 2008, pp. 73–103.[5] D. Bilimoria, S. Joy, and X. Liang, “Breaking barriers and creating inclusiveness: Lessons of organizational transformation to advance women faculty in academic science and engineering,” Hum. Resour. Manage., vol. 47, no. 3, pp. 423–441, Sep. 2008, doi: 10.1002/hrm.20225.[6] S. R. Bird, “Unsettling Universities’ Incongruous, Gendered Bureaucratic Structures: A Case-study Approach,” Gender, Work & Organization
, is beingundertaken in order to provide an `inside out` view of their experience. These interviews will allow usto tell many stories – perhaps more importantly, a story that details the many different things we aredoing in order to produce sustainable change for our many constituents.References[1] C. Hill, C. Corbett, and A. St. Rose, Why So Few? Women in Science, Technology, Engineering, and Mathematics. Washington, D. C.: American Association of University Women (AAUW), 2010.[2] S. Ceci, W. Williams, and S. Barnett, “Women’s Underrepresentation in Science: Sociocultural and Biological Considerations,” Psychol. Bull., vol. 135, no. 2, pp. 218–261, 2009.[3] J. Hyde, S. Lindberg, M. Linn, and C. Williams, “Gender Similarities
. Surveyresponse data was converted to a 100-point scale such that a response of all 3’s would yield anormalized score of 100% and a response of all 1’s would yield a normalized score of 0% asfollows: 𝑀𝑒𝑎𝑛𝑆𝑢𝑟𝑣𝑒𝑦𝑅𝑒𝑠𝑝𝑜𝑛𝑠𝑒 − 1 𝑁𝑜𝑟𝑚𝑎𝑙𝑖𝑧𝑒𝑑𝑆𝑢𝑟𝑣𝑒𝑦𝑆𝑐𝑜𝑟𝑒 = (100%) 2 100% KS0 KS1 Exam 1 KS2 Exam 2 90% 80% 70%Score (Percent) 60% 50% 40
. Students were going to 6th grade (40.2%), 7th grade (31.5%), 8th grade (28.3%) duringthe summer. Additionally, the researchers randomly selected one or two students from eachgroup/table in camp 1 to 4. A total of 22 students presented their groups/tables to conduct in-depth interviews with us on the last day of each camp. Of the 22 interviewees, six were fromcamp 1, seven were from camp 2, five were from camp 3, and four were from camp 4. Allstudents and their guardians were required to sign consent letters.Instruments The instrument used in this study was the Middle/High School Student Attitudes towardSTEM (S-STEM) survey. This instrument was a useful tool in the evaluations of the university’soutreach projects and K-12 STEM initiative [46
traditionalstudents to leave school in their first year; 1) much less likely to earn a degree within five years;2) far more likely to have leave school without returning than their traditional counterparts.Why we need to examine nontraditional student experiences in STEM In the United States, STEM education at all levels remains a significant national priority basedupon concerns ranging from global competitiveness, national security, 21st century workforceneeds, and equal access. In 2018, U.S. science and engineering (S&E) bachelor’s degreescomprised only 10% of the global total, while India and China together produced almost half ofthe world’s S&E bachelor degrees during the same time period. The U.S. demand for graduateswith STEM degrees continues
objective function based on the KPIs and assigned weight (importance) to each criterion. We used twoseparate Likert scales with scores between 1 to 10 to determine the weights and assess the performancelevel, respectively, of each criterion through teacher surveys. We conducted the surveys at the end of eachweek (iteration), determined the objective function value, analyzed the outcomes, and took necessaryactions to enhance the objective function value in the next iteration(s). Here, the objective function valuecomputed in an iteration indicates the overall performance of that iteration. For the selected KPIs, weights,and scales, the maximum possible objective function value was 1,200. We assume that the objectivefunction value is the targeted
al., [11]) is Pulakos et al.’s taxonomy, which includes: solving problemscreatively; dealing with uncertain or unpredictable work situations; learning new worktasks/technology/procedures; interpersonal adaptability; cultural adaptability; physically-orientedadaptability; handling workplace stress; and handling emergencies/crisis situations [34]. There isno published instrument associated with this taxonomy; those authors taking it up have createdprocedures and instruments based on their own operationalization of the dimensions. Notably,this taxonomy focuses explicitly on observed behaviors, rather than on the metacognitive orcognitive skills and abilities identified in the rest of the literature, as being central to adaptiveexpertise, making
advising quality) 12 Connection and sense of belonging to college Literature review 13 Opportunity to be independent Focus group Negative outcomes Participation in out-of-class activities does not always lead to positive outcomes. The review ofliteratures revealed that there are a number of unintended consequences or negative outcomesassociated with students’ involvement in out-of-class activities. Further, the researchers foundthat there are a number of factors that act as barriers to students from getting involved in certainout-of-class activities. To the best of our knowledge, no such survey(s) exist that assess studentson those negative
beunderstood or experienced [9]. The interpreter of the phenomenon is the participant, not theresearcher. In order to solicit a variety of experiences and to allow all relevant voices to be heard[10] , a highly varied sampling of participants is necessary. With a well-designed semi-structuredinterview, the participant can unveil the environment, the products, and the processes of theirprofessional experiences. The creation of hierarchical categories as part of the analysis mayuncover the development of mastery of the skill(s) under investigation. While there has been work that shows a one-axis increase of awareness or mastery of acertain phenomenon, there is an increasing use of phenomenography where the results oroutcomes are expressed in
N. Cristianini, "Automating News Content Analysis: An Application to Gender Bias and Readability," 2010.[6] D. Citron and F. Pasquale, "The Scored Society: Due Process for Automated Predictions," Faculty Scholarship, 1 1 2014.[7] T. Bolukbasi, K.-W. Chang, J. Zou, V. Saligrama and A. Kalai, "Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings," in Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings, 2016.[8] S. Leavy, "Gender bias in artificial intelligence: The need for diversity and gender theory in machine learning," in Proceedings - International Conference on Software Engineering, 2018.[9] "Global Gender Gap
Thinking,” in Early Engineering Learning, L. English and T. Moore, Eds., in Early Mathematics Learning and Development. , Singapore: Springer, 2018, pp. 9–18. doi: 10.1007/978-981-10-8621-2_2.[2] National Academies of Sciences, Engineering, and Medicine, Science and Engineering in Preschool Through Elementary Grades: The Brilliance of Children and the Strengths of Educators. Washington, DC: The National Academies Press, 2021. Accessed: Dec. 02, 2022. [Online]. Available: https://doi.org/10.17226/26215[3] C. N. Lippard, M. H. Lamm, and K. L. Riley, “Engineering Thinking in Prekindergarten Children: A Systematic Literature Review,” J. Eng. Educ., vol. 106, no. 3, pp. 454–474, 2017, doi: 10.1002/jee.20174.[4] Z. S. Gold, J
methodology to tell thestory of the multitudinous factors in Chavonne Garza’s life that shaped her journey to and withinengineering. This methodology illuminated ways that many institutions, including academia,were designed and continue to operate without her well-being in mind.Researchers have investigated epistemological and ontological ways that marginalized peoplesengage with STEM. Wilson-Lopez et al.’s investigation of funds of knowledge in Latinxadolescent approaches to engineering demonstrated ways that “participants’ everyday skills andbodies of knowledge aligned with engineering practices” [16, p. 278]. Verdín, Smith, and Lucena[17] engaged the funds of knowledge framework to demonstrate ways that first-generationengineering college students
teaching team to incorporate accessibility practices for Kulkarni’s course experience. Course and teaching assistant(s) Undergraduate and master’s students who are responsible for running office hours and leading lab sessions, among other tasks. They explored accessible learning methods with Kulkarni. Disability services officer (DSO) The accessibility manager at the disability services office at our academic institution. She created accessible, tactile diagrams for Kulkarni’s course material and coordinated
,she drafted a hiring handbook to guide search committees in engineering through the process.The content in the next section is content from this hiring handbook Pierrakos prepared andcontinuously improved from one year to the next.V. HIRING PRACTICES AT WFU ENGINEERINGIn this section, the hiring process Pierrakos instituted and implemented in hiring a diverse WakeForest Engineering team is showcased. Content herein is adopted from the WFU EngineeringHiring Handbook that Pierrakos prepared as Founding Engineering Chair to guide hiring. TheWFU Engineering Hiring Handbook was shared with all search committee members. Every steprequired intentionality around minimizing bias which is inherent in hiring processes.Step 1. Getting the Job(s
improvingthe software. We continuously work on improving the software to provide the students with thebest sketching learning experience.AcknowledgementsThis research was supported by National Science Foundation, ”Collaborative Research: FosteringEngineering Creativity and Communication through Immediate, Personalized Feedback on 2D-Perspective Drawing” : 2013612 (Texas A&M University), 2013504 (Georgia Tech), 2013575 (San Jose State University) and 2013554 (Purdue University). References [1] S. Sorby, “Educational research in developing 3-d spatial skills for engineering students,” International Journal of Science Education - INT J SCI EDUC, vol. 31, pp. 459–480, 02 2009. [2] K. Vanlehn, “The relative effectiveness of