Mabisi is a Junior Research Associate at the University of Cincinnati, Evaluation Services Center. As an external evaluator, she utilizes quantitative and qualitative methods on various NIH, ESF, NIEHS and SEPA funded projects. She obtained a Masters of Gerontological Studies degree from Miami Uni- versity where her research focused on the lived experiences of Older women living with HIV/AIDS in Sub-Saharan Africa.Dr. Carissa B. Schutzman, University of Cincinnati Dr. Carissa Schutzman is a Senior Research Associate for the University of Cincinnati Evaluation Services Center where she leads evaluation and research projects and actively represents the UCESC within the university and the community at large. She
their role and identity as anengineer. This view of these two role identities fully overlapping is shown in Figure 3b. Thesetwo different views can both be represented by the RIDES framework. (a) (b)Figure 3: RIDES Framework used to Represent Engineering and Researcher Role IdentityInteractions as Partially (a) or Fully (b) Overlapping In contrast, some engineering doctoral students may not view their engineering identityas distinct from their other role identities, but may view their role identities as researcher,educator, and student as subsets of their identity as an engineer in that they are an engineering-researcher, an engineering-educator, and an engineering
rubric is that it reminds the reader to consider a variety of factors when reviewing each application. This is particularly helpful when evaluating students who come from non-traditional backgrounds.” “It gave me a framework to consider a wider variety of factors in considering potential graduate students that went far beyond the simple GPA, GRE metrics.” “The questions in the rubric prompted me to specifically look for that information in an applicant’s file which I may have otherwise missed.”Faculty were also asked to rank the value they placed on various application components prior toand after the implementation of the rubric. Those components included a) letters of evaluation, b)CV/resume, c) personal
Paper ID #33173The Rapid Model: Initial Results From Testing a Model to Set Up aCourse-Sharing Consortia for STEM Programs at the Graduate LevelDr. Thomas L. Acker, Northern Arizona University Dr. Tom Acker is a Professor of Mechanical Engineering at Northern Arizona University, where he has been since 1996. He holds a Ph.D. in Mechanical Engineering from Colorado State University. His duties include teaching and performing research related to energy systems, power system modeling, renewable energy, thermodynamics, and fluid mechanics. His research in wind energy relates to and wind flow modeling for distributed wind
students at their institutions,” Teach. Learn. Inq., vol. 7, no. 2, Art. no. 2, Sep. 2019, doi: 10.20343/teachlearninqu.7.2.7.[8] J. H. Waldeck, V. O. Orrego, T. G. Plax, and P. Kearney, “Graduate student/faculty mentoring relationships: Who gets mentored, how it happens, and to what end,” Commun. Q., vol. 45, no. 3, pp. 93–109, Jun. 1997, doi: 10.1080/01463379709370054.[9] W. Wright-Harp and P. A. Cole, “A Mentoring Model for Enhancing Success in Graduate Education,” Contemp. Issues Commun. Sci. Disord., vol. 35, no. Spring, pp. 4–16, Mar. 2008, doi: 10.1044/cicsd_35_S_4.[10] N. A. of S. Medicine Engineering, and, P. and G. Affairs, B. on H. E. and Workforce, and C. on E. M. in STEMM, The Science of Effective Mentorship in
Edwin F. Church Medal, ABET’s Claire L. Felbinger Diversity Award, and SWE’s Distinguished Engineering Educator Award. She has also been recognized for her faculty mentoring efforts through Penn State’s Rosemary Schraer Mentoring Award and Howard B. Palmer Faculty Mentoring Award. American c Society for Engineering Education, 2021 Theoretical and Applied Perspectives on Online Graduate Engineering Education: Learning-Centered Vision, Administration, and Course DesignThis paper presents a theory-based perspective on the design and development of the onlineMaster’s of Science in Mechanical Engineering (MSME) Program at The
the model on the training set inputs.Table1Confusion Matrix Logistic Regression. Predictions Test TG NTG TG 47 20 NTG 27 158Figure 7. (a) Confusion Matrix Logistic Regression Graph; (b) ROC Logistic Regression Curves.From Table 1, we can conclude that 47 out of 252 predictions were plain wrong, while 205 out of23 predictions proved correct. Figure 7(b) shows the model's ROC curve, and the curve followsthe axis of correct predictions.To find the accuracy of the model, we will use Equation 1.𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦 = (Ecuación 1)Where,TP is the number of True Positive resultsTN is the number of True Negative resultsFP is the number of False Positive resultsFN is the
of Teacher Education, 64(5), 426-438.Gurvitch, R. (2005). Congratulations!: A guide for new graduate students. Journal of PhysicalEducation, Recreation & Dance, 76(3), 48-52.Hardré, P. L. (2005). Instruction design as a professional development tool-of-choice for graduateteaching assistants. Innovative Higher Education, 30(3), 163-175.Hullinger, M., & Hogan, R. L. (2014). Student anxiety: Effects of a new graduate studentorientation program. Administrative Issues Journal: Education, Practice, & Research, 4(2), 27-34.Kuh, G. D., Kinzie, J. L., Buckley, J. A., Bridges, B. K., & Hayek, J. C. (2006). What matters tostudent success: A review of the literature, Volume 8. Washington, DC: National PostsecondaryEducation
Takeaways Drawing the 5 Seed a) You don’t have to be good at drawing to do this; Shapes b) You can draw anything with the 5 seed shapes Understanding a) We can create new meaning when we draw relationships Relational Drawing b) Relational drawing requires visual metaphors. Page Forms, a) Page forms begin to structure visual metaphors and relationships Containers, and b) Two key tools in articulating or discovering relationships are Connectors containers (what belongs together?) and connectors (how are these ideas related?) Drawing Other a) Page forms can help us understand other authors’ arguments and People’s
respond to an interactivepoll in real time using a learning management system (LMS) interface on their computer. The in-structor and the students receive poll results immediately after the poll closes, as shown in Figure1(b). The instructor may choose to continue the normal pace of the lecture if the poll results looksatisfactory or revisit the topic of the poll question if results are unsatisfactory.An orchestrated discussion (hand raise) activity also tests the students’ understanding of a recentlydiscussed topic. In response to a question displayed to the class, a student provides a responseusing their computer consisting of a few words or a short sentence. This format provides studentsopportunities to provide direct feedback to the instructor
.[7] A. Sverdlik, N. Hall, L. McApline, and K. Hubbard, “The PhD Experience: A Review of the Factors Influencing Doctoral Students’ Completion, Achievement, and Well-Being,” Int. J. Dr. Stud., vol. 13, pp. 361–388, 2018.[8] L. B. Dunn, A. Iglewicz, and C. Moutier, “A Conceptual Model of Medical Student Well- Being: Promoting Resilience and Preventing Burnout,” Acad. Psychiatry, vol. 32, no. 1, pp. 44–53, Feb. 2008.[9] J. L. Brockman, A. A. Nunez, and A. Basu, “Effectiveness of a conflict resolution training program in changing graduate students style of managing conflict with their faculty advisors,” Innov. High. Educ., vol. 35, no. 4, pp. 277–293, 2010.[10] J. Hunt and D. Eisenberg, “Mental
Paper ID #32258Minority Student Experiences in Engineering Graduate Programs:Socialization and Impact on Career TrajectoriesDr. Catherine T. Amelink, Virginia Polytechnic Institute and State University Dr. Amelink is Associate Vice Provost for Learning Systems in the Office of the Provost at Virginia Tech. She is also an affiliate faculty member in the Departments of Engineering Education and Educational Leadership and Policy Studies at Virginia Tech.Dr. Mayra S. Artiles , Arizona State University Mayra S. Artiles is an assistant professor in engineering at the Polytechnic School of the Ira A. Fulton Schools of Engineering
size has been illustrated. The reason for each ranking is comprehensively discussedwhere we expand the inquiries into three stages of our graduate program timeline. The stages arelabeled as “(B) - Before,” “(D) - During,” and “(A) - After,” which demonstrates the time whenwe were applying to graduate programs, while we were studying at the graduate programs, andwhat we anticipate pursuing after our graduation, respectively.Table 1. Categories of the subject matters Priority Importance Size Personal Life Nationality (B, D, A) 5 4 Visa (B) 4
. es5, Sep. 2016, doi: 10.1187/cbe.16-01-0038.[6] "Engineering & Engineering Technology By the Numbers," American Society forEngineering Education, 2019.[7] U. S. C. Bureau, "Quick Facts United States," 2019. [Online]. Available:htpp://www.census.gov/quickfacts/fact/table/US/LFE046219. [Accessed Jan. 18, 2021].[8] B. Khan, C. Robbins, and A. Oknet, “The State of U.S. Science and Engineering 2020 | NSF- National Science Foundation,” ncses.nsf.gov. https://ncses.nsf.gov/pubs/nsb20201.[9] "President's Council of Advisors on Science," U.S. Government Office of Science andTechnology Engage to excel: Producing one million additional college graduates with degreesin science, technology, engineering, and matematics, Washington DC, 2012.[10] B. K
by US college students: 10-year population-level trends (2007–2017),” Psychiatric Services, vol. 70, no. 1, pp. 60-63, 2019.[3] A. Martinez & S. Nguyen, “The Impact of COVID-19 on College Student Well-Being,” 2020. Available: https://www.acha.org/documents/ncha/Healthy_Minds_NCHA_COVID_Survey_Report_ FINAL.pdf. [Accessed April 19, 2021].[4] P. LeViness, C. Bershad, K. Gorman, L. Braun, & T. Murray, “The association for university and college counseling center directors annual survey,” Director, pp. 1–146, 2018. Retrieved from http://files.cmcglobal.com/AUCCCD_2013_Monograph_Public.pdf.[5] B. Andrews & J. Wilding, “The relation of depression and anxiety to life-stress and
: Economists suggest 20% return on public investment for research andinnovation,” Science Business, June 2017. Retrieved fromhttps://sciencebusiness.net/news/80354/R%26D-pays%3A-Economists-suggest-20%25-return-on-public-investment-for-research-and-innovation.[7] National Center for Science and Engineering Statistics (NCSES). “Doctorate Recipients fromU.S. Universities: 2019,” NSF 21-308. Alexandria, VA: National Science Foundation, 2020.Available at https://ncses.nsf.gov/pubs/nsf21308/.[8] H. Thiry, S. L. Laursen, and A. B. Hunter, “What experiences help students becomescientists? A comparative study of research and other sources of personal and professional gainsfor STEM undergraduates,” The Journal of Higher Education, vol. 82, pp. 357-388, 2011.[9
M.A. in Psychological Measurement from Ewha Womans University. Her scholarly trajectory aims to improve education for underserved and un- derchallenged students with impactful research and evidence-based interventions. Longitudinal research methodology is the main area of her expertise, which has enabled her a) to investigate growth trajecto- ries of motivation and career choices; b) to identify opportunity gaps within underserved groups; and c) to evaluate and improve educational interventions in STEM. With the expertise in quantitative research methodology, she is engaged in collaborative research with entrepreneurship education and other interdis- ciplinary programs. American
Paper ID #33208Academic Writing at the Doctoral and Professional Level in Engineering:The Current State of the Field and Pathways ForwardMs. Kate Caroline Batson, University of Georgia KateBatsonis a PhD candidate within Language and Literacy Education at the University of Georgia. Her research is centered around writing practices at the doctoral and professional levels within engineering. Previously, she served as an instructor in the Intensive English Program (IEP) at The University of Missis- sippi, where she taught 18 different courses and served as the IEP Operations Coordinator. She was also the IEP in-house
Paper ID #32782Why We Failed: Barriers to Participation, Management, and Sustainabilityof an Immersive Faculty Experience Supporting Graduate StudentProfessional DevelopmentDr. Ella L. Ingram, Rose-Hulman Institute of Technology Ella L. Ingram is a Professor of Biology and Associate Dean for Professional Development. Her edu- cational research interests include faculty development, promoting successful change practice of STEM faculty, effective evolution and ecology instruction, and facilitating undergraduate research experiences. Her teaching portfolio includes courses on: nutrition, introductory biology, ecology and
Paper ID #33653Electronic Mentoring During the COVID-19 Pandemic: Effects onEngineering Graduate Students’ Academic, Career, and Mental HealthOutcomesDr. Chi-Ning Chang, The University of Kansas Dr. Chi-Ning (Nick) Chang is an assistant research professor at the Life Span Institute at the University of Kansas. This study was funded by the National Science Foundation (NSF) RAPID grant (DGE-2031069; DGE-2051263), using funds from the Coronavirus Aid, Relief, and Economic Security (CARES) Act. Chang currently serves as a PI on this collaborative NSF project (DGE-2031069). His research work centers on engineering graduate
serves as director of the Usability Lab. Dr. Zhang holds a Ph.D. and an M.S. in information and library studies from the University of Michigan, Ann Arbor, and an M.S. and a B.S. in cognitive psychology from Peking University in Beijing, China. Prior to joining Long Island University in 2006, she worked at Drexel University, IBM Waterson Research Center, and Institute of Psychology at Chinese Academy of Science. Dr. Zhang’s general research areas are human-computer interaction (HCI), knowledge management (KM), social informatics and distance learning. Her primary interests lie in the areas of computer-supported cooperative work (CSCW) and computer-mediated communication. Specifically, she is interested in fa