context.AcknowledgmentsThis work was made possible by a U.S. Department of Education Graduate Assistance in Areasof National Need (GAANN) Grant Number P200A210109 and by a NSF Innovations inGraduate Education (IGE) Program [IGE DGE#2224724] grant. 5 References[1] Gilmore, J. A., Wofford, A. M., & Maher, M. A. (2016). The Flip Side of the Attrition Coin: Faculty Perceptions of Factors Supporting Graduate Student Success. International Journal of Doctoral Studies, 11, 419–439. https://doi.org/10.28945/3618[2] S. Spaulding, L., & Rockinson-Szapkiw, A. (2012). Hearing their Voices
institution.Faculty participating in our study were asked to develop projects and course integrations that aim todevelop some aspect(s) of students EM. The final deliverable, at the conclusion of the 2-year period, isthe submission of an Engineering Unleashed Card [8]. These cards function as a combination of blog andresource-sharing website all in one page, documenting the course plans/activities with sufficient detailthat other faculty could then take the plan/activity and modify it to fit and deploy it in their own courses.Research on mentoring models for faculty developmentThere has been a growing body of research on the effectiveness of peer mentoring programs rooted insocial cognitive theories and research on influence [9]. Social cognitive theory, SCT
undergraduate students NicholasInsinga, David Lentz, Dylan Letcher, Alfred Marchev, and Ryan Petzitillo who assisted in thedevelopment of the interview protocol and identification of the initial emergent codes.References[1] A. Godwin and A. Kirn, “Identity‐ based motivation: Connections between first‐year students’ engineering role identities and future‐time perspectives,” J. Eng. Educ., vol. 109, no. 3, pp. 362–383, 2020, doi: https://doi.org/10.1002/jee.20324.[2] D. R. Simmons, J. Van Mullekom, and M. W. Ohland, “The Popularity and Intensity of Engineering Undergraduate Out‐of‐Class Activities,” J. Eng. Educ., vol. 107, no. 4, pp. 611–635, Oct. 2018, doi: 10.1002/jee.20235.[3] R. S. Adams, S. R. Daly, L. M. Mann, and G. Dall’Alba
slight increase in drowsiness. One participantfelt the video was longer than in actuality, while the other two felt it was shorter than in actuality. Theclinical immersion video (see appendix Table 5) elicited an average level of engagement at 6.33, with twoof the participants beginning to feel bored at around 10 minutes. No participant fell asleep, one felt adrowsiness level of 7 out of 9 while the other two did not experience any drowsiness from watching thevideo. Interestingly, all participants felt that the video was longer than in actuality.Discussion:Due to issues during data acquisition, the EEG statistical analysis was inconclusive despite observingstatistical difference in subjects 2 and 3 (see appendix Table 1). Namely, Subject 2’s
Paper ID #38426Three Years of the Urban STEM CollaboratoryMaryam Darbeheshti (Faculty) Dr. Maryam Darbeheshti is an Assistant Professor of Mechanical Engineering at the University of Colorado Denver. Her research interests are in multiphase fluid flow, and Engineering Education.Miriam Howland Cummings (Graduate Research Assistant) Miriam is a PhD candidate in Education Research and Evaluation Methods at the University of Colorado Denver (CU Denver) and a graduate research assistant on an NSF S-STEM grant in CU Denver's College of Engineering, Design, and Computing.Stephanie S Ivey (Associate Dean for Research
. 5 Resources[1] K. Krippendorff, Content analysis : an introduction to its methodology, 3rd ed. Beverly Hills: Sage Publications, 1980.[2] G. L. Gray, D. Evans, P. Cornwell, F. Costanzo, and B. Self, "The Dynamics Concept Inventory Assessment Test: A Progress Report," in Proceedings of the 2005 American Society for Engineering Education Annual Conference, Portland, OR, 2005.[3] G. L. Gray, D. Evans, P. Cornwell, F. Costanzo, and B. Self, "Toward a Nationwide Dynamics Concept Inventory Assessment Test," in Proceedings of the 2003 American Society for Engineering Education Annual Conference, Nashville, TN, 2003.[4] P. S. Steif and J. A. Dantzler, "A Statics
Education, vol. 46, no. 1, pp. 2-21, 2003.[2] M. Oren and S. K. Nayar, "Generalization of Lambert's reflectance model," in Proceedings of the 21st annual conference on Computer graphics and interactive techniques, 1994, pp. 239-246.[3] V. Brajovic, "Model for reflectance perception in vision," in Bioengineered and Bioinspired Systems, 2003, vol. 5119, pp. 307-315: International Society for Optics and Photonics.[4] S. K. Nayar and R. M. Bolle, "Computing reflectance ratios from an image," Pattern recognition, vol. 26, no. 10, pp. 1529-1542, 1993.[5] S. K. Yarlagadda and F. Zhu, "A reflectance based method for shadow detection and removal," in 2018 IEEE Southwest Symposium on Image Analysis and
thank Dr. M. Tylinski of the Wentworth Institute of Technology for assistance incharacterizing the LEDs we used for this experiment. Finally, we wish to thank the staff ofAccelerate at the Wentworth Institute of Technology.7. Citations[1] K. S. Novoselov et al., “Electric Field Effect in Atomically Thin Carbon Films,” Science (80-. )., vol. 306, no. 5696, pp. 666–669, Oct. 2004, doi: 10.1126/science.1102896.[2] K. S. Novoselov et al., “Two-dimensional atomic crystals.,” Proc. Natl. Acad. Sci. U. S. A., vol. 102, no. 30, pp. 10451–3, Jul. 2005, doi: 10.1073/pnas.0502848102.[3] J. Zupan and D. Kolar, “Optical properties of graphite and boron nitride,” J. Phys. C Solid State Phys., vol. 5, no. 21, p. 3097, Oct. 1972, doi
,” National Student Clearinghouse Research Center, Herndon, VA, Signature Report 19, Dec. 2020. [Online]. Available: https://nscresearchcenter.org/wp-content/uploads/Completions_Report_2020.pdf[2] D. Shapiro, A. Dundar, F. Huie, P. Wakhungu, A. Bhimdiwala, and S. Wilson, “Completing college: A state-level view of student completion rates includes for the first- time, race and ethnicity outcomes for four-year public institutions,” National Student Clearinghouse Research Center, Herndon, VA, 16a, Feb. 2019. [Online]. Available: https://www.studentclearinghouse.org/blog/completing-college-a-state-level-view-of- student-completion-rates-includes-for-the-first-time-race-and-ethnicity-outcomes-for-four- year-public
Postsecondary Research., Bloomington, 2007.[2] S. H. Russell, M. P. Hancock and J. McCullough, "Benefits of Undergraduate Research Experiences," Science, vol. 316, no. 5824, pp. 548-549, 2007.[3] A. L. Zydney, J. S. Bennett, A. Shahid and K. W. Bauer, "Impact of Undergraduate Research Experience in Engineering," Journal of Engineering Education, vol. 91, no. 2, pp. 151 - 157, 2002.[4] R. S. Hathaway, B. A. Nagda and S. R. Gregerman, "The Relationship of Undergraduate Research Participation to Graduate and Professional Education Pursuit: An Empirical Study," Journal of College Student Development, vol. 43, no. 5, pp. 614-631, 2002.[5] B. A. Nagda, S. R. Gregorman, J. Jonides, W. v. Hippel and J. S. Lerner, "Undergraduate
the opportunity towork with new and up-to-date professional measurement equipment and software. Begun almosta half century ago, the laboratory capabilities and student experiments were originally based onmeasurement equipment in the VHF, UHF, and X-bands. In the early years core experimentswere based on use of the slotted line and General Radio equipment at the lower frequencies andthe slotted waveguide and Hewlett Packard equipment in the X-band. In time, computer analysisand design of microwave devices was added.STUDENT EXPERIMENTS IN THE EARLY YEARSThe applied electromagnetics laboratory of the 1970 s included labs such as the following: (1)measurement of transmission-line characteristics, (2) microwave power measurements, (3)modeling
; another responsibility is the implementation of continuous processimprovement by improving the experiments and their descriptions. This has been the sameperson since the course s inception; it was first run in 2003. It was developed from an electivelecture-only course that this individual gave in 2000; it was found that particle technology is arich subject for class-demonstrations and the experiments to be described grew out of these. Theapparatus for the experiments was constructed with readily available components and simplebench-top or hand tools; no machine-shop work was required. Two texts have been used over the history of the course, viz. Introduction to ParticleTechnology (1) and Fundamentals of Particle Technology (2). The latter one is
Mind Trekkers Science and Engineering Festivals: Inspiring K-12 students to explore STEM Stephen Patchin, Cody Kangas, and Jamie Lindquist Michigan Technological UniversityThe Challenge O Ma 5, 2010 e Na a Sc e ce B a d b ed a e ed P e a e NeGeneration of STEM Innovators: Identifying and Developing Our Nation H a Ca a .S ed b e Na a Sc e ce F da , e e e ed ec e dato support the identification and development of talented young men and women who have the e a bec e C e e e a n of science, technology, engineering, andmathematics (STEM
Agenda for Research. Washington, DC: The National Academies Press, 2014.[3] B. London, S. Rosenthal, S. R. Levy, and M. Lobel, “The influences of perceived identity compatibility and social support on women in nontraditional fields during college transition,” Basic and Applied Social Psychology, vol. 33, pp. 304-321, 2011.[4] N. D. Watkins, R. W. Larson, and P. J. Sullivan, “Bridging intergroup difference in a community youth program,” American Behavioral Scientist, vol. 51, pp. 380-402, 2007.[5] R. F. Catalano, M. L. Berglund, J. A. M. Ryan, H. S. Lonczak, and J. D. Hawkins, “Positive youth development in the United States: Research findings on evaluations of positive youth development programs,” The
electrical heating rod was implemented. An electriccurrent running through the element results in the heating of the rod. Through this method, theheating rod is maintained at constant temperature with electrical power at equilibrium with theconvective heat loss to the surrounding. 1. Turn on the thermocouple readout and record the ambient temperature, 𝑇∞ . 8 2. Turn on the electric power supply. When setting the voltage, be sure that the current isn't limited. 3. Turn on airflow through the wind tunnel. 4. Set the wind tunnel speed (e.g., 4 m/s using the hand-held anemometer at the wind tunnel exhaust). Record exhaust velocity
distributed elements (such as microstriptransmission lines) or with pre-packaged gain blocks. The most straightforward way, and the waythe RF industry uses, of measuring these one and two-port networks is using S-parameters. Tomake the measurements, a two-port vector network analyzer (VNA) can be employed to makethese S-parameter measurements directly, from which other network parameters could be derivedif necessary. Until recently, VNAs were very expensive for frequencies in the GHz range so thatmakes measurements problematic for larger classes where students would have to wait to gainaccess to the instrument. Recently and with the advances in single-chip components, VNA pricesfor hobbyists have come down dramatically and now a full two-port VNA for
/publications/tracking-transfer-institutional-state-effectiveness.html, 2016.6. T. Bailey, “Can community colleges achieve ambitious graduation goals?”, in Getting to Graduation: The Completion Agenda in Higher Education, A. P. Kelly & M. Schneider Eds. Baltimore, MD: The Johns Hopkins University Press, 2012, pp. 73-101.7. B. L. Yoder, “Engineering by the numbers,” American Society for Engineering Education, 2017.8. Bureau of Labor Statistics: U.S. Department of Labor, “Employed persons by detailed occupation, sex, race, and Hispanic or Latino ethnicity,” 2015. Available: http://www.bls.gov/cps/cpsaat11.htm.9. National Science Foundation, “How many S&E graduates attended community college?”, 2016. Available: http://www.nsf.gov/nsb
Paper ID #231132018 CoNECD - The Collaborative Network for Engineering and ComputingDiversity Conference: Crystal City, Virginia Apr 29How Making and Maker Spaces have Contributed to Diversity & Inclusionin Engineering: A [non-traditional] Literature ReviewAdam Stark Masters, Virginia Tech Adam S. Masters is a doctoral student and Graduate Research Assistant at Virginia Polytechnic Institute and State University. They received a B.S. in Mechanical Engineering from University of Delaware and are currently pursuing a Ph.D. in Engineering Education at Virginia Tech. Adam’s research interests include access, equity and social
which should aid them in facilitating team-based activities inthe future among peers, faculty, and the extended community.AcknowledgementsThis material is based upon work supported by the National Science Foundation under GrantNumber 1405869. Any opinions, findings, and conclusions or recommendations expressedherein are those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation. Additionally, the author(s) gratefully acknowledge the generosity and technicalguidance provided by the Central State University College of Science and Engineering, itsadministration and faculty, including Drs. Alessandro Rengan and Subramania Sritharan. Also,the author(s) would like to thank undergraduate manufacturing engineering
need is by using teams (Varvel, Adams,Pridie, & Ruiz Ulloa, 2004). Organizations recognize the importance for employees tounderstand how to work effectively with others, but also express that new employees do notbring adequate teaming skills to the workplace (S. Adams & Ruiz, 2004; Pascarella &Terenzini, 2005). Despite calls to promote teamwork as “an indispensable quality forengineering”(Lingard & Barkataki, 2011) engineering schools have been generally slow indeveloping pedagogies that successfully promote collaborative behaviors. Several initiativeshave been done in engineering education -like project-based learning and team-basedlearning to try to promote teamwork skills (Felder & Brent, 2009; Prince, 2004). However
individuals who are capable of dealing with modern systems. At a fundamental level,systems thinking can offer new ways of thinking ‘systemically’ to effectively deal with thecomplex problems faced by many professionals. There is a lack of research-based instrument(s)in the literature that identify individuals’ fitness for systems thinking. This paper introduces thedevelopment of a systems thinking instrument that identifies individuals capacity for systemsthinking and determines their inclination in treating complex system problems across domains.This instrument can also be used to distinguish where a university curriculum (or a corporatetraining program) excels at producing systems thinkers and where it may be lacking.IntroductionIn 2016, the World
partners will benefit from an improved hiring pool of highly preparedand experienced candidates and from a constant stream of engineering solutions provided by ourstudent teams. Furthermore, this project will help underserved populations at UC Merced succeedprofessionally through the incorporation of collaborative and experiential learning, therebymaking engineering education more inclusive. Finally, the proposed PDT will help make theengineering profession equally attractive and accessible to all students which, in turn, will lead toa more diverse STEM workforce.References[1] S. Howe, L. Rosenbauer, J. Dyke Ford, N. Alvarez, M. Paretti, C. Gewirtz, D. Kotys-Schwartz, D. Knight and C. Hernandez, "Preliminary Results from a Study Investigating
© American Society for Engineering Education, 2007 Curricular Middle Management: The Role of a Graduate Student Instructor in a Senior-Level Design CourseAbstractThe traditional responsibilities of a graduate student instructor (GSI) usually consist of acombination of activities meant to aid the primary instructor for the course and to reinforce thematerial that is being delivered in lecture. Creating and grading homework sets, supervising labs,meeting with students in discussion sessions, and grading exams are a few of the many differenttasks that a GSI must undertake throughout a typical semester. However, when a GSI isinvolved in a team-based, senior-level design course, s/he must assume a different role and makeuse of a
AC 2007-688: A SHORT COURSE IN UNDERSTANDING PRINTS FOR AUTOMANUFACTURING PLANTSMulchand Rathod, Wayne State University Mulchand S Rathod, PhD, PE, professor of Division of Engineering Technology, Wayne State University, Detroit, Michigan is recognized for a career of dedicated, unselfish service to engineering and technology education, as a leader in education, faculty member, and as a contributor to professional societies. Dr Rathod lead the Division of Engineering Technology as director and chair during 1987-2003. Prior to joining WSU, he worked at State University of New York at Binghamton as coordinator of mechanical engineering technology program holding the ranks of assistant and
temperature (and with that performance)of solar modules, is the airflow around them. With only average daily and not hourly wind data available from anearby town, this data may only be used to verify a visual trend of any impact stronger winds may have onmodule temperature. Figure 4 gives an example of this data, the trend-line creating a very clear divide on highinsolation days, between higher winds (red- above 2.65m/s) and lower winds (blue- less than 2.65m/s).This didnot hold up for some other months, as seen in Figure 5. While seemingly random, all high winds for themonth(>=3m/s – Figure 6) did correlate to lower temperatures (though not vice versa). This is expected to bedue to the necessity for much stronger winds in order to cool the
Conference ProceedingsI. EVOLUTION OF ENGINEERING EDUCATION Engineering education objectives and methods have progressed greatly during the post-World War IItechnology boom. During the 1950's, teaching material was characterized by multitudes of design rules fordifferent practice scenarios, i.e. rules of thumb for particular engineering problems. It soon became evident that"cookbook" engineering was insufficient to meet the needs accompanying the rapid growths in new technologyand the ever-broadening scope of engineering problems. The emphasis of classroom education shifted in the1960's toward "engineering science," or the fundamentals of physical phenomena. This constituted an effort toinstill in students the necessary foundations for
thisalternate design process rest on powerful algorithms, developed by Simons and Harden to solve differential equations. [SIM088]These algorithms can be adapted to greatly reduce the number of computations required to derive a bilinear transformed digital H(z)model from a prototype H(s) analog model. This reduction in processing makes it feasible to base the optimal digital filter design onan analog prototype and arrive at solutions based on the changing coefficients of the analog filter. The end result is an optimallydesigned digital filter as well as an analog filter that could be claimed to be optimal in some sense. In order to verify and converge on a proper filter design, the frequency response of the current filter in the design process must
requisites. Students typically worked in design teams and got involved in a series of design steps including planning,The authors propose an integrated modular design labora- analysis, preliminary design, simulation, construct ion, t e&-tory to enhance the existing senior design experience in Elec- ing and evaluation, class demonstrations, oral presentationstrical Engineering at Clarkson University. This laboratory and documental ion. The goal in each casse was to provideintegratea physically-based device-s and components within the student with the opportunity to develop a complete solu-a PC-based data acquisition and control environment. The tion to
Renewable Energy Systems Courses D. J. Burnham,⋆ J. C. Campbell,⋆ S. Santoso,⋆ A. Compean,⋆⋆ J. Ramos⋆⋆1 IntroductionIn recent years wind turbine technologies have made significant advances, and more than 30 U.S.states have implemented aggressive renewable portfolio standards. These standards require thatelectric utilities obtain 10% to 30% of their energy from renewable sources, with target datesbetween 2020 and 2030.1 In support of this effort the U.S. Department of Energy is consideringthe viability of wind energy to supply up to 20% of nation’s electricity by 2030.2 In addition tothe technical challenge of integrating wind power into the national grids, another criticalchallenge in the 20% wind power scenario involves preparing the
A Hybrid Approach to Evaluate the Performance of Engineering Schools School of Engineering University of Bridgeport Bridgeport, CT 06604 ABSTRACTScience and engineering (S&E) are two disciplines that are highly receptive to the changes indemand for products and services. These disciplines can either be leading in nature, viz., they createthe demand in the market (push) for new products and/or services, or can adopt the changes causedby the varying market conditions (pull). Regardless of the reason, both science and engineering havethe responsibility to be compatible