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
. • Develop and apply engineering solutions, while being cognizant of local geography, aspirations and cultures. • Create engineering solutions beyond current or dominant technologies; improve, innovate and invent (technologies) to achieve sustainability. • Actively engage communities and stakeholders in development of engineering solutions.Educational Approach The traditional and probably most common method of introducing aspects of greenengineering has been through a senior and graduate level elective course on environmentalengineering, with an emphasis on process treatment. Courses were developed that focus onmethods to minimize or prevent waste streams from existing chemical plants in the 1990’s. Theeducational
for Work Avoid in either comparison.It is interesting to observe significant decreases in Expectancy between both 2013 and 2016 andbetween 2014 and 2016, with a medium effect size for the decrease between 2014 and 2016.Student perceptions about their abilities to complete tasks in their engineering courses appear todecrease after their first year, possibly due to the challenges of upper level courses with whichthey are confronted.Table 2: Summary of mean (standard deviation) values for all factors for each year and thematched pairs t-test or Signed-Rank test results for comparisons, including the test statistic t(n-1)or S, respectively, the sample size n, the p-value, and the effect size d for significant results.Factor scores are on a scale
engineering studentparticipation but the association with success outcomes for non-Black student members is also afuture area of interest. Additional insights into quantitative relationships can be gained by graded categorizationof NSBE membership that accounts for factors such as number of years of involvement, whenthey first joined the organization (e.g. freshman vs later years), level of involvement, and otherstudent success outcomes (e.g. GPA). Exploring how and why particular associations exist canalso be supported by more rigorous qualitative explorations of NSBE members decisions topersist or leave engineering and/or the organization and what unique role NSBE played in thesedecisions.References[1] D. E. Chubin, G. S. May, and E. Babco
I can do it can do itI can make a good scientific hypothesis. 0 1 2 3 4 5 6 7 8 9 10 Cannot Pretty sure For sure I do it I can do it can do itI can get myself to do my science school work. 0 1 2 3 4 5 6 7 8 9 10 Cannot Pretty sure For sure I do it I can do it can do it ReferencesAndrew, S. (1998). Self-efficacy as a predictor of academic performance in science. Journal of advanced
(2)where I is the improvement factor, and the subscripts s and u stand for shaded and unshadedCOP, respectively. Figure 1. Thermocouples wrapped on the refrigerant pipes across the condenser. Note the temperature of the pipe leaving the condenser was used; the one entering the condenser was measured for reference purposes only Figure 2. Canopy used to shade the condenser For the simulated part of the study, data for a 3-TR unit were simulated from Carrier website[10] and the results were compared to the experimental
explore. For this paper, researchers present findings from theanalysis of the final cohort(s) of the original pilot program with an emphasis on characteristics ofinterest, as well as an exploration of the factors involved in place-attachment for alumni.IntroductionThe Bowman Creek Educational Ecosystem (BCE2) in South Bend, Indiana is a community-university, cross-institutional partnership [1] developed with a multiplicity of outcome aims – toattract and retain underrepresented groups in engineering and science; to improve the quality oflow-income neighborhoods; and to build STEM literacy across the regional workforce. Corepartners in the BCE2 pilot have involved a diversity of higher education institutions (Ivy Techcommunity college, Indiana
advances in virtualreality (VR) tools – including inexpensive hardware and open source software, there is anopportunity to incorporate the use of virtual environments into this traditional course and bridgethe disconnect between classroom material and realistic flight dynamics and controls. This paperoutlines the development of a virtual reality environment to aid in teaching the design andevaluation of flight controllers using classical control techniques. This environment is beingdesigned to provide a collaborative space where user(s) can manipulate the locations of poles andzeros of a controller for a dynamic system (such as an aircraft) and visualize its response. Such anenvironment will enable the user(s) to visualize how controller design
, K. Reitmeyer, E. Tseytlin, and R. S. Crowley,“Metacognitive scaffolds improve self-judgments of accuracy in a medical intelligent tutoringsystem,” Instructional Science, vol. 42, no. 2, pp. 159–181, Mar. 2014.[6] H. M. Ghadirli and M. Rastgarpour, “A web-based adaptive and intelligent tutor by expert systems,”Advances in Computing and Information Technology, pp. 87–95, 2013.[7] J. A. González-Calero, D. Arnau, L. Puig, and M. Arevalillo-Herráez, “Intensive scaffolding in anintelligent tutoring system for the learning of algebraic word problem solving: Intensive scaffolding in anITS for the learning of AWPS,” British Journal of Educational Technology, vol. 46, no. 6, pp. 1189–1200,Nov. 2015.[8] M. A. Ruiz-Primo and E. M. Furtak, “Exploring
acollaborative project. Providing higher education students with options in assessment willencourage the students to engage with curriculum. It enhances students’ capability to be self–directed, outcome based, collaborative and being analytical in solving problems.References1. Chandrasekaran, S., Stojcevski, A., Littlefair, G., Joordens, M. Learning through Projects in Engineering Education in Eurpean Journal of Engineering Education Conferences (SEFI 2012), Thessaloniki, Greece, 2012.2. Chandrasekaran, S., Stojcevski, A., Littlefair, G., Joordens, M. Best assessment practices of final year engineering projects in Australia. University of Technical Education, Ho Chi Minh City, 2013.3. Chandrasekaran, S., Al Ameri, R. Students Perspectives on
AreaNetwork (LAN). The rest of this paper is organized as follows. Motivation, systems modeling Page 26.44.3and design are discussed in Section 2. Results of numerical analysis are presented in Section 3.Discussion of results and contribution(s) of the research are presented in Section 4. Section 5concludes the paper.2 Systems modeling and designThis Section discusses motivation for the research in Section 2.1 and systems modeling anddesign in Section 2.2.2.1 Motivation for the researchThe research is motivated by the need to provide improved learning environment for engineeringstudents, whereby professors/instructors can access the laboratory to
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College Student Personnel at the University of Louisville. Her research interests include understanding the role of achievement motivation in the development of academic underachievement, particularly among gifted students.Dr. Patricia A Ralston, University of Louisville Dr. Patricia A. S. Ralston is Professor and Chair of the Department of Engineering Fundamentals at the University of Louisville. She received her B.S., MEng, and PhD degrees in chemical engineering from the University of Louisville. Dr. Ralston teaches undergraduate engineering mathematics and is currently involved in educational research on the effective use of technology in engineering education, the incorpo- ration of critical thinking in
instructional video to orientstudents for the DLM implementation.References1. Pellegrino, J. W. In Understanding how students learn and inferring what they know:Implications for the design of curriculum, instruction and assessment, NSF K-12 Mathematicsand science curriculum and implementation centers conference proceedings, 2002; NationalScience Foundation and American Geological Institute Washington, DC: 2002; pp 76-92.2. Johnson, D. W.; Johnson, R. T.; Smith, K. A., Cooperative learning returns to collegewhat evidence is there that it works? Change: the magazine of higher learning (1998), pp 26-35.3. Sauer, S. G.; Arce, P. E. In Development, Implementation, and Assessment of HighPerformance Learning Environments, AIChE, Salt Lake City, UT