, 1982, 769-74.[2] Wang F, Jin P, Feng Y, Fu J, Wang P, Liu X, Zhang Y, Ma Y, Yang Y, Yang A, Feng X.Flexible Doppler ultrasound device for the monitoring of blood flow velocity. Science Advances,2021, eabi9283.[3] Jamieson S. Likert scales: how to (ab)use them. Medical Education, 2004, 1217-8.[4] Nelson, C.A. & Bashford, G. (2017, June), UNL Summer REU Program in BiomedicalDevices. Paper presented at 2017 ASEE Annual Conference & Exposition, Columbus, Ohio.[5] Li, H., & Jin, K. (2020, June), The Differences Between Individual Project and Team ProjectSettings in an Interdisciplinary REU Site. Paper presented at 2020 ASEE Virtual AnnualConference Content Access, Virtual Online.[6] Krings, E.J., Truong, S.L., Reeser, K.A., Hage, B.D
Formation (PFE: RIEF) program under Award#2024960. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1] Patrick, Anita D., and A. N. Prybutok. "Predicting persistence in engineering through anengineering identity scale." International journal of engineering education 34, no. 2a (2018).[2] Marra, Rose M., and Barbara Bogue. "Women engineering students' self efficacy--alongitudinal multi-institution study." Women in Engineering ProActive Network (2006). Surveyavailable at http://aweonline.org/efficacy.html[3] Bilgin, Betul, James W. Pellegrino, and Vikas Berry. "Work-in-Progress: The Design of Up-to-Date
survey.Table 1Project Research Plan Phase Research Question Data Source(s) Quantitative To what extent does engineering USS + PSO surveys students’ social capital predict their opportunities for professional skill development? To what extent do students in different USS survey first-year cohorts have significantly different levels of social capital? To what extent do students in different PSO survey cohorts have different reported levels of opportunities
.[7] J. D. Bransford and D. L. Schwartz, “Rethinking transfer: A simple proposal with multiple implications,” Rev. Res. Educ., vol. 24, no. 1, pp. 61–100, 1999.[8] J. Lobato, “How design experiments can inform a rethinking of transfer and vice versa,” Educ. Res., vol. 32, no. 1, pp. 17–20, 2003.[9] J. Lobato, “The actor-oriented transfer perspective and its contributions to educational research and practice,” Educ. Psychol., vol. 47, no. 3, pp. 232–247, 2012.[10] L. C. Hadfield and C. E. Wieman, “Student interpretations of equations related to the first law of thermodynamics,” J. Chem. Educ., vol. 87, no. 7, pp. 750–755, 2010.[11] K. P. Kohn, S. M. Underwood, and M. M. Cooper, “Energy connections and
Academy is on efficacy in this area, thenthere is some evidence to suggest the investment in the STEM Academy has paid off.References[1] New American Economy. (2017). Sizing up the gap in our supply of STEM workers: Data & analysis. New American Economy. https://research.newamericaneconomy.org/report/sizing-up-the-gap-in- our-supply-of-stem-workers/[2] Goldman, A., Schweig, J., Buenaventura, M., & Wright, C. (2017). Geographic and demographic representativeness of junior reserve officer training corps. Santa Monica, CA; Rand Corporation[3] Kamarck, K. N. (2020). Defense Primer: Junior Reserve Officers’ Training Corps (JROTC). In Focus. Congressional Research Service. December 2, 2020.[4] Lent, R. W., Brown, S. D
–679, 2011, doi: 10.1002/j.2168-9830.2011.tb00031.x.[8] J. A. Smith, M. Jarman, and M. Osborn, “Chapter 14: Qualitative health psychology: Theories and methods,” in Doing interpretative phenomenological analysis., Sage Publications, 1999.[9] N. A. Mamaril, E. L. Usher, C. R. Li, D. R. Economy, and M. S. Kennedy, “Measuring Undergraduate Students’ Engineering Self-Efficacy: A Validation Study,” Journal of Engineering Education, vol. 105, no. 2, pp. 366–395, 2016.[10] T. Zorn, J. Roper, K. Broadfoot, and C. Weaver, “Focus Groups as Sites of Influential Interaction: Building Communicative Self-Efficacy and Effecting Attitudinal Change in Discussing Controversial Topics,” Journal of Applied Communication Research, vol. 34
additionalcollege graduates with degrees in science, technology, engineering, and mathematics. ExecutiveOffice of the President. Washington, DC.[3] Estrada, M., Burnett, M., Campbell, A., Campbell, P., Denetclaw, W. F., Gutierrez, C. G.,Hurtado, S., John, G. H., Matsui, J., McGee, R., Okpodu, C. M., Robinson, T. J., Summers, M.F., Werner-Washburne, M., & Zavala, M. E. (2016). Improving Underrepresented MinorityStudent Persistence in STEM. CBE-Life Sciences Education, 15(5), 1–10.[4] Yoder, B. L. (2017). Engineering by the numbers. Washington, DC: American Society forEngineering Education.[5] Fiegener, M. K. National Science Foundation, Division of Science ResourcesStatistics.(2010). Numbers of doctorates awarded continue to grow in 2009; indicators
work supported by the National Science Foundation under awardnumber EEC-1647722. Any opinions, findings, and conclusions or recommendations expressedin this material are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.The authors wish to thank Jennifer Mamph and Cristina Farmus for the support in collecting thisdata.References[1] M. Drummond Oakes, M. E. Cardella, M. Sydlik, and K. M. Everett, “Board 41: DevelopingSummer Research Programs at an NSF ERC: Activities, Assessment, and Adaptation,” presentedat the 2019 ASEE Annual Conference & Exposition, Jun. 2019, Accessed: Jan. 07, 2021.[Online]. Available: https://peer.asee.org/board-41-developing-summer-research-programs-at-an-nsf-erc
studentsprovides mutual benefits, particularly improved understanding of stakeholder requirements forthe engineering students and the realism of working with a product development team for theadvertising students. Achievement of certain student outcomes targeted in engineeringaccreditation criteria is an added benefit.AcknowledgementsThis material is based in part upon work supported by the National Science Foundation underGrant Number 1159626. Any opinions, findings, and conclusions or recommendations expressedin this material are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References Cited[1] Don Dekker, Stephen Sundarrao, Rajiv Dubey, 2007, “Capstone Design and theRehabilitation Engineering Program
further refined the compassionate design framework itself which is the subjectof a journal paper that is currently under review.References[1] Kirkpatrick, A. T., Danielson, S., Warrington, R. O., Smith, R. N., Wepfer, W. J., & Perry, T. (2011). VISION 2030 Creating the Future of Mechanical Engineering Education. In Proceedings for the 2011 American Society for Engineering Education Conference, June 26-29, Vancouver, British Columbia.[2] Jonassen, D. H. (2000). Toward a design theory of problem solving. Educational technology research and development, 48(4), 63-85.[3] Shuman, L. J., Besterfield-Sacre, M., & McGourty, J. (2005). The ABET "Professional Skills" - Cant They Be Taught? Can They Be Assessed
holds B.S. and M.A. degrees in Mathematics. Dr. Hensel has over seven years of experience working in engineer- ing teams and in project management and administration as a Mathematician and Computer Systems Analyst for the U. S. Department of Energy as well as more than 25 years teaching mathematics, statis- tics, computer science, and freshman engineering courses in higher education institutions. Currently, she leads a team of faculty who are dedicated to providing first year engineering students with a high-quality, challenging, and engaging educational experience with the necessary advising, mentoring, and academic support to facilitate their transition to university life and to prepare them for success in their
., & Lunetta, V. N. (2004). The laboratory in science education: Foundations for the twenty-first century. Science Education, 88, 28-54.5 Capobianco, B. M. (2006). Undergraduate women engineering their professional identities. Journal of Women and Minorities in Science and Engineering, 12(2-3), 95- 117.6 Krapp, A., & Prenzel, M. (2011). Research on Interest in Science: Theories, methods, and findings. International Journal of Science Education, 33(1), 27-50.7 Zawojewski, J. S., Diefes-Dux, H. A., & Bowman, K. J. (Eds.). (2008). Models and Modeling in Engineering Education. Rotterdam, Netherlands: Sense Publishers8 Cooper, M. M., Cox, C. T., Nammouz, M., Case, E., & Stevens, R
experience working in engineer- ing teams and in project management and administration as a Mathematician and Computer Systems Analyst for the U. S. Department of Energy as well as more than 25 years teaching mathematics, statis- tics, computer science, and freshman engineering courses in higher education institutions. Currently, she leads a team of faculty who are dedicated to providing first year engineering students with a high-quality, challenging, and engaging educational experience with the necessary advising, mentoring, and academic support to facilitate their transition to university life and to prepare them for success in their engineering discipline majors and future careers.Dr. Melissa Lynn Morris, West
generation from a majorityof these sources is based on either of the two main thermodynamic cycles: Rankine and Braytoncycles. To help understand the working of these cycle and the components involved in the powergeneration process, an animation is added that explains the working of each of the cycles on a step-by-step basis. Simultaneous to the animation, the thermodynamic graphs (h-s and P-v charts) usedin textbooks to explain the processes are also shown as animations, which helps the participantunderstand the process thoroughly. The charts provide the properties (temperatures, pressures, andspecific volume) of the working fluid, which aids in design calculations required to achieve thedesired power output. The window of the tool which had the
fellows to measure confidence and compared to scoresfrom the rubrics to determine correlations.Next StepsCurrently, the recruiting materials for the 2018 STEM storyteller program is under developmentand the public speaking rubric is under development. At the time of the 2018 ASEE Annualconference, it is anticipated that the poster for this paper will be able to present the recruitingmaterials, the public speaking rubric, and any lessons learned from trying to attract 1st year Ph.D.students into this program.ReferencesMooney, C., & Kishenbaum, S. (2009). Unscientific America: How Scientific Illiteracy Threatens our Future. New York: Basic Books.Committee on Prospering in the Global Economy of the 21st Century. (2007). Rising Above the
., change in knowledge) often uses some proxylike course grades or performance on a particular project or exam to ascertain student knowledgechange. Utilizing course or project/exam grades may contain bias not only because there issometimes no baseline metric upon which to determine prior/exogenous knowledge, but alsobecause such grades are normally a) not anonymous to the instructor(s) and b) can be affected bythe instructor’s own grading biases.Changes in attitude toward a given topic or engineering in general is valuable knowledge, giventhe effects of student perception on graduation rate [16] and eventual employment [17] as well asless easily measured variables like satisfaction in engineering and creativity in the discipline.There are multiple
. Cokkinides, "Role of laboratory education in powerengineering: is the virtual laboratory feasible? III. Virtual power system laboratories: is thetechnology ready," Power Engineering Society Summer Meeting, pp.1484-1489, vol. 3, 2000.[4] Abramovitz, A., "Teaching Behavioral Modeling and Simulation Techniques for PowerElectronics Courses," IEEE Transactions on Education, vol.54, no.4, pp.523-530, Nov. 2011[5] Gedra, T.W., An Seungwon Q.H.A. Arsalan, and S. Ray,"Unified power engineeringlaboratory for electromechanical energy conversion, power electronics, and powersystems," IEEE Transactions on Power Systems[6] de Magistris, M., "A MATLAB-based virtual laboratory for teaching introductory quasi-stationary electromagnetics," IEEE Transactions
not major, but they were necessary for theadoption of the program to an institution like UIC. These changes were incorporated to ensurethat the program met the goals and kept its critical components (i.e., ENG 294 course, dual-mentoring, and team-based structure). After the first year of the program, we plan to report onstudent outcomes and assessment data as well as provide a more detailed report of theadjustments made to ERSP at UIC.References[1] M. Barrow, S. Thomas, and C. Alvarado, “Ersp: A structured cs research program for early- college students,” in Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education, 2016, pp. 148–153.[2] n.d., “ERSP | Instructor resources.” [Online]. Available
, Oct. 2005.[4] R. W. Lent, H. Sheu, D. Singley, J. A. Schmidt, L.C. Schmidt, and C. S. Closter, “Longitudinal relations of self-efficacy to outcome expectations, interest, and major choice goals in engineering students,” Journal of Vocational Behavior, vol. 73, no. 2, pp. 328-335, Oct. 2008.[5] M. T. Wang, F. Ye, and J. L. Degol, “Who chooses STEM careers? Using a relative cognitive strength and interest model to predict careers in science, technology, engineering, and mathematics,” Journal of Youth and Adolescence, vol. 46, no. 8, pp. 1805-1820, Aug. 2017.
Foundation (EEC-1460988).References1. S. H. Russell, M.P. Hancock, and J. McCullough, "Benefits of Undergraduate Research Experiences," Science, 316, 548-549, 2007.2. Unpublished data, Department of Plastics Engineering, University of Massachusetts Lowell.3. C. Gonzàlez, "When is a Mentor like a Monk?" Academe, 92(3), 29-32, 2006.4. J. Ishiyama, "Expectations and Perceptions of Undergraduate Research Mentoring: Comparing First Generation, Low Income White/Caucasian and African American Students," College Student Journal, 41, 540-549, 2007.5. S. Hurtado, N. L. Cabrera, M. H. Lin, L. Arellano and L. L. Espinosa, "Diversifying Science: Underrepresented Student Experiences in Structured Research Programs," Research in
cohort.ReferencesMooney, C., & Kishenbaum, S. (2009). Unscientific America: How Scientific Illiteracy Threatens our Future. New York: Basic Books.Committee on Prospering in the Global Economy of the 21st Century. (2007). Rising Above the Gathering Storm: Energizing and Employing America for a Brighter Economic Future. The National Academies Press: Washington D. C.Sharon AJ and Baram-Tsabari A. (2014). Measuring mumbo jumbo: A preliminary quantification of the use of jargon in science communication, Public Understanding of Science, vol. 23, no. 5, pp. 528-546, July 2014.
), Perspectives on the Learning Environment: Classroom Culture and Social Transactions at an HBCU Paper presented at 2012 ASEE Annual Conference, San Antonio, Texas21. Fuller, J., & Northern, J. (2007, June), Project Based Learning For A Digital Circuits Design Sequence At Hbcus Paper presented at 2007 Annual Conference & Exposition, Honolulu, Hawaii.22. Parrish, L., & Williams, M., & Desai, S. (2008, June), Improving Retention And Continuing Education Through Undergraduate Research Program Paper presented at 2008 Annual Conference & Exposition, Pittsburgh, Pennsylvania23. Fredericks, A. C., & Fleming, L. N., & Burrell, J. O., & Griffin, A. R. (2012, June), Perspectives on the Learning Environment
overall outcome in student motivation andlearning.6 AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No1245657. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National Science Foun-dation.References 1. Brereton, M., Sheppard, S. & Leifer, L. “Students connecting engineering fundamentals and hardware design: Observations and implications for the design of curriculum and assessment methods,” in 1995 Frontiers in Education Conference. 2. Wittemyer, R., McAllister, B., Faulkner, S., McClard, A. & Gill, K. “MakeHers: Engag- ing Girls and Women in Technology
lighting, are rich in data that students can harvest using basic image analysis techniquesprovided by software such as MATLAB or ImageJ.AcknowledgementsThis work was supported by "Solar Cell Imaging: A Gateway for Visualization and Learning inSTEM Disciplines” NSF TUES Award DUE-1245872 (June 2013 to May 2015).Bibliography 1. J. HAUNSCHILD, M. GLATTHAAR, M. DEMANT, J. NIEVENDICK, M. MOTZKO, S. REIN, and E.R. WEBER, “Quality control of as-cut multicrystalline silicon wafers using photoluminescence imaging for solar cell production” Solar Energy Materials and Solar Cells 94, 12 2007-2012 (2010). 2. MICHAEL G. MAUK, “Image Processing for Solar Cell Analysis, Diagnostics and Quality Assurance Inspection” Ch 14 in Handbook
., Ohland, M. W., & Cardella, M. E. (2014b). Work In Progress-A Qualitative Study of the Effects of Participation in Pre-College Engineering Programs on First-Year Engineering Students. Presented at the 2014 IEEE Frontiers in Education Conference, Madrid.• Salzman, N., Ricco, G. D., & Ohland, M. W. (2014). Pre-College Engineering Participation Among First-Year Engineering Students. Presented at the American Society for Engineering Education Annual Conference, Indianapolis, IN. Acknowledgement Support for this work comes from the National Science Foundation, Award No. REE 1265216. The opinions, findings, and conclusions or recommendations expressed in this article are those of the author(s) and do not
grant DUE-1140554.The opinions, findings, and conclusions do not necessarily reflect the views of the NationalScience Foundation or the author’s institution. Page 26.1438.13References1. Borrego, M., & Henderson, C. (2014). Increasing the use of evidence-based teaching in STEM higher education: A comparison of eight change strategies. Journal Of Engineering Education, 103(2), 220-252.2. Felder, R. M., Brent, R., Prince, M. J. (2011). Effective instructional development strategies. Journal of Engineering Education, 100(1), 89–122.3. Brownell, S., & Tanner, K. (2012). Barriers to faculty pedagogical change: Lack of training
from Jadavpur University, Kolkata, India (2001). Dr. Nandy had served as a Co-Principal Investigator of an NSF S-STEM Project, and is currently serving as the Principal-Investigator of an NSF IUSE project. Dr. Nandy is a member of the American Society of Mechanical Engineers (ASME), and American Society for Engineering Education (ASEE).Steve Cox, Northern New Mexico College Schooled at Marquette University in Electrical Engineering and Rensselaer Polytechnic Institute and New York University in Mathematics. Joined the Department of Computational and Applied Mathematics at Rice University in 1988 and the Department of Neuroscience at Baylor College of Medicine in 2004. Held visiting positions in Madrid, Cologne and
for thisstage will come from snowball sampling methods, because non-completers are an invisible andsensitive population. Either quantitative or qualitative differences (or similarities) between the twogroups (current students vs non-completers) will be fascinating with respect to the graduateengineering socialization process in which writing is an invisible competency.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant1733594. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation. References[1] Council of Graduate
[Internet]. 2004 Jan [cited 2012 Jul 16];29(1):63– 76. Available from: http://linkinghub.elsevier.com/retrieve/pii/S0361476X030001958. Andriessen I, Phalet K, Lens W. Future goal setting, task motivation and learning of minority and non-minority students in Dutch schools. The British journal of educational psychology [Internet]. 2006 Dec [cited 2012 Dec 9];76(4):827–50. Available from: http://www.ncbi.nlm.nih.gov/pubmed/170948889. Simons J, Dewitte S, Lens W. The role of different types of instrumentality in motivation, study strategies, and performance: know why you learn, so you’ll know what you learn! The British journal of educational psychology [Internet]. 2004 Sep;74(3):343–60
cups water SEM Food coloring (optional)Concept(s) By adding water to the XL polymer the + Interaction is + Use liquid and temperature arrangement of atoms is changed dependent upon the variations to define inequality therefore changing the material type of liquid and also equations for the various properties the temperature of the forces and interactions liquid (cohesive, adhesive