. Through the interaction with remotely accessible realequipment via the GUI, the users should be able to visualize the experimental process, gain afeeling of immersion into a real laboratory environment, and also be able to adjust the input andimmediately observe the experimental output. Usually, the GUI is composed of an instrumentcontrol section, an experimental input section and an experimental results section. In theinstrument control section, the options may include lighting, audio and video and dataacquisition functions. In most real-time setups, a global video view providing an overview and alocal video view zooming in on the analyzed object(s) are streamed in real time. In addition, theusers are often given the option to save the video
, engineering, mathematics) fields are important to our country.According to Rodney Akins, a senior vice-president at IBM Systems & Technology Group,“Only 5% of United States workers are employed in fields related to science and engineering, butthey are responsible for more than 50% of our sustained economic expansion.” He also goes onto point out “according to NSF, the percentage of United States students studying math, science,and engineering has decreased from 21% in the 1980‟s to approximately 16% today.” 1 So whyrecruit women? They make up 50.7% of the population from the U.S. Census numbers 2 andthey only comprise 10.7% of the engineering occupation field and 24.8% of themathematical/computer science field per the 2009 Bureau of Labor
Doctoral students as course instructors: Three engineering teaching assistants’ socialization experiencesAbstractThe purpose of this study was to explore and understand the types of socialization experiencesthat result from engineering graduate teaching assistants‟ (TAs) roles as course instructors.Socialization refers to an individual‟s process of becoming a part of a group. In the context ofdoctoral education, socialization can be a complex area to study, largely because there are manyroles and groups for which graduate students can be socialized.Using situated learning, more specifically the communities of practice literature, as thetheoretical framework, this study looked at how three doctoral engineering TAs, with experienceas
, and the practicesetting. 1,2Magnusson, Krajcik, and Borkos (1999) proposed a refined model of PCK for science teaching.Their model includes the following five components: 1) orientations toward science teaching; 2) knowledge and beliefs about science curriculum, 3) knowledge and beliefs about student understanding of specific science topics, 4) knowledge and beliefs about assessment in science, and 5) knowledge and beliefs about instructional strategies for teaching science” (p. 97).3An overarching component of this model is that a science teacher‟s knowledge is stronglyinfluenced by the stance or generalized orientation a teacher may take within his/her ownpractice. Teachers‟ orientations have also been described as
alumni of our graduate program who have developed new ways of thinking and acting through our leadership development process.Data on Engineers Moving into Management Figure 1. S&E bachelor‟s degree holders in management jobs by years since degree (NSF 2003)National Science Foundation SESTAT 20031 data (Figure 1) shows that increasing numbers ofengineering graduates leave the direct practice of engineering over time and move intomanagement. This NSF report also shows that there is a corresponding fewer number of Page 22.1546.2engineering graduates whose major work activity is R&D as they progress in their careers(Figure 2
. Combined with Oregon and Idaho, the Northwest is home to approximately 170,000(6.8%) of the nation‟s federally-enrolled tribal members3.African Americans, Hispanics and Alaska Indians/American Natives (AI/AN) together onlyaccount for 11.3% of the science, engineering, technology and math (STEM) workforce4 outsideof universities, but make up 29% of the population5. From 2000-2020, the non-Hispanic laborforce will grow by 9%, while the Hispanic labor force will grow by 77%6. Tremendous disparitystill exists in the educational achievements of adults from different ethnic groups (Table 1),suggesting that the changing demographics will create a significant workforce problem in STEMfields in the future. For example, over 41% of Hispanic students never
probably looked at everything as its own project of how do I manage this? How do I get it done? What‟s the timeline? What are the critical tasks? – Ethan I also learned the lesson that you have to value peoples‟ life experiences beyond just what their degree, or what their … credentialed criteria might be. – Emma I‟ve also learned some of the flags for what, when interviewing for people where you kind of go … I should probably look into that a little more or should ask more about it or, beginning to understand where that line is on people who volunteer too much information and, when have they really… okay, this is beginning to show a personality issue that‟s going to be beyond where I want to
application, starting at $14,000 for a model with a maximumflow velocity of 0.3 m/s and a 70 in2 test cross-section, much less than the 400 in2 test cross-section needed.This paper describes the conversion of a pre-existing 24 foot diameter 4 foot deep above-groundpool into a variable flow-rate “water tunnel” facility using $500 of additional equipment. Steadystate flow rates of 0.89 m/s are achieved using an 80 pound thrust (rated) trolling motor poweredby a pulse-width-modulated motor controller drawing approximately 970 W of electrical power.Calculations indicate that approximately 400 pounds of rated thrust will be required to reach ourgoal of 2.0 m/s flow rates near the outer edge of our pool river simulator.1 Introduction and Motivation1.1
needs are important, how they‟re symbiotic, theirevolution, what was learned, and where it should be repeated.IntroductionThe products offered for sale by American retailers sometimes indicate that everything we buy isprobably made overseas. These products imply that domestic manufacturing has become a fadedconcept. The truth is not found on consumer sales receipts. In fact, the United States is still theworld‟s largest manufacturing economy, producing 21percent of all manufactured goods6, andvalued at $1.64 trillion6 in 2008. The size of this amount is difficult to digest, but by itself, $1.64trillion would represent the world‟s 8th largest economy6. This group of domestic manufacturersemployed 9% of the total workforce, or nearly 12 million
technologie supérieure, Montréal, Québec, Canada during the course of Basic LinearControl Systems.The circuit under study is shown in Figure 5.Figure 5 Circuit under studyTheoretical ReviewFollowing an appropriate network analysis method, it can be concluded that the transferfunction of the circuit is expressed as: Kω 2n G (s) = 2 , (1) s + 2ζω n s + ω 2nwhere: K = 1, 1 2 − ( Ra / Rb ) ωn = , and ζ = . RC 2
first year of graduate school, most students are asked to do a literature searchfor a class, or are beginning to look at prior work as they decide on a focus for their thesis,dissertation, or Master‟s project. At that point, they realize that they will not be able to findeverything they need with their current set of Web-searching tools and skills.Engineering librarians are challenged to engage with these new students at just the right time.Properly marketed, online tutorials may provide part of the solution. This paper explores how theauthor used citation analysis and discussions with faculty, students, and colleagues to design aset of tutorials that teach graduate students both how to find what they need, and why they needit in the first
] (8)It can readily be seen from equations (8) that X 1 ≡ 0 on choosing k2 m2 = ω 2 (absorbercondition). Other conditions on the choice of k2 and m2, such as limiting the amplitudes of X2, Page 22.247.7and / or restrictions on the allowed new natural frequencies, are then applied.Consider the following numerical values, in which the forcing frequency is close to the originalnatural frequency: m1 = 10 Kg, k1 = 2000 N/m, F1,0 = 100 N, ω = 13.5 rad/s. Note that theoriginal frequency is k1 m1 = 14.14 rad/s which is quite close to 13.5 rad/s. The absorbercondition gives: k2 m2 = 13.5 rad/s. The amplitude of X2 is F1,0 /k2 and this
expertise in modeling architectures for complex engineering systems such as transportation, infrastructure, water resources and energy distribution using computational intelligence techniques He is the founder and Boeing Coordinator of the Missouri S&T’s System Engineering graduate program. Dr. Dagli is the director of Smart Engineering Systems Laboratory and a Senior Investigator in DoD Systems Engineering Research Center-URAC. He is an INCOSE Fellow 2008 and IIE Fellow 2009. He has been the PI, co-PI, or director of 46 research projects and grants totaling over $29 million from federal, state, and industrial funding agencies Dr. Dagli is the Area editor for Intelligent Systems of the International Journal of
(IFDP)in 2005 to train faculty to internationalize university‟s curricula. Second author represented theCollege of Engineering on the first cohort of IFDP which included 13 faculty from variouscolleges and co-authored cohort‟s report that included various recommendations tointernationalize curricula [1]. Second author initiated various activities, beginning in 2005,targeted at internationalizing the freshman engineering program (also called General Engineering(GE)). A major grant under the Department-Level Reform (DLR) program of the NationalScience Foundation facilitated implementation of various international activities into freshmanengineering program, particularly into a first semester engineering course “EngineeringExploration EngE1024” [2
itself to the21st Century Learning Skills. The Academic Staff College encourages innovation and creativityamong its faculty and supports the introduction of new pedagogical methods and new learningapproaches in delivering instruction. It has positioned itself as a forerunner to bring about theparadigm shift from “teaching to learning.” New initiatives with particular reference to WIPRO‟s Project 1, an academia industrypartnership between WIPRO, a global IT and Engineering Enterprise and VIT University hasproduced a metamorphosis in the teaching learning process at the University. Individual learninghas been replaced with collaborative and group learning; lectures have been complemented withrole play, simulation, word games and group
, 2264-2271 (2005).(2) A J. Haes, R. P. Van Duyne, A unified view of propagating and localized surface plasmonresonance biosensors, Anal. Bioanal. Chem. 379, 920-930 (2004).(3) M. Chen, J. Kim, J. P. Liu, H. Y. Fan, S. H. Sun, Synthesis of FePt nanocubes and theiroriented self-assembly, J. Am. Chem. Soc. 128, 7132-7133 (2006).(4) S. H. Sun, Recent advances in chemical synthesis, self-assembly, and applicationsof FePt nanoparticles, Adv. Mater. 18, 393-403 (2006).(5) D. Gao, R. R. He, C. Carraro, R. T. Howe, P. D. Yang, R. Maboudian, Selective growth ofSi nanowire arrays via galvanic displacement processes in water-in-oil microemulsions, J. Am.Chem. Soc. 127, 4574-4575 (2005).(6) Greyson, E. C.; Babayan, Y.; Odom, T. W., Directed growth of
those feelings are actually enacted in teaching. Page 22.757.3Teacher AutonomyAutonomy is directly related to motivation 10, 11. Autonomy is when a person‟s “actions arefreely chosen and experienced as emanating from oneself” 12. While research on autonomy ineducation originally focuses on students, more recent research has shown the importance ofteachers‟ sense of autonomy. Pelletier et al. 13 found that teachers‟ perceptions of constraints inthe teaching environment as well as of their students‟ self determination influenced the teachers‟self determination, which finally lead to whether or not the teachers supported their students‟autonomy
AC 2011-562: THE EFFECT OF CONTEXTUAL SUPPORT IN THE FIRSTYEAR ON SELF-EFFICACY IN UNDERGRADUATE ENGINEERING PRO-GRAMSRachelle Reisberg, Northeastern University Rachelle Reisberg is Director of Women in Engineering at Northeastern University. She received her bachelor’s and master’s degrees in Electrical Engineering from Rice University. She was President of a start-up software company before joining Northeastern.Joseph A Raelin, Northeastern University JOE RAELIN is an internationally-recognized scholar in the fields of work-based learning and leadership. He holds the Asa. S. Knowles Chair of Practice-Oriented Education at Northeastern University in Boston. He is author of the just released Leaderful Fieldbook
. Page 22.682.3 Figure 2 a)) SDOF handd calculationn model; b) MDOF M handd calculationn modelThe secoond exercise for the studeents was to create c a multtiple-degree--of-freedom (MDOF) modelmwith a riggid slab assu umption and 3 DOF’s peer floor (see Figure F 2) using Matlab6. The mass waswlumped ata each floor and the stifffness of eachh story was based b on thee shear wall shear s
workers for employment in STEM fields2.”Community colleges are also endorsed for their ability to bring students fromunder-represented groups to the educational pathway. “Community colleges arethe path of choice for many underrepresented groups in engineering3.” Thisincludes women, minorities, older adults, non-native speaking and lower-incomegroups. Due to their accessibility and affordability, students are turning to two-year colleges as a less expensive pathway to bachelor‟s degree attainment.“Community colleges disproportionately enroll students from groups that havebeen underrepresented in higher education and that are poised to growdramatically in the next two decades4.” “Various organizations, including theCollege Board have issued
sense, measurements, variables and relations, geometric shapes and spatialvisualization, and chance.” The education of future engineers must prepare them to approachsituations with quantitative literacy, at least with the tools in Dossey‟s list, and ideally withhigher level tools including the ability to frame problems in terms of appropriate mathematicalmodels and finding solutions to those models. Modeling can be used in the design process inmany ways: to avoid expensive and time-consuming tests of physical prototypes, to guide therange of physical models that should be tested, to rule out seemingly reasonable designs that aredestined to fail, to avoid overdesign of components, to explore the likely range of performance ofa device, and to
-world andmore interesting to students, it was proposed to use model cars in wind tunnel in additionto the basic shapes. Three automobile models were selected: Ford Model T, Chevrolet ElCamino, and 1970’s Porsche. The models represent three distinct levels of stream lining. Agroup of senior students in the capstone Machine Design class was assigned to developCAD models as well as scale model prototypes of these cars. Using the CAD model and athree-dimensional printer, physical scale models of the three autos were produced. Amounting technique was designed to secure the models in the wind tunnel. Flowsimulation in Computational Fluid Dynamics (CFD) environment was employed to predictthe Drag coefficient of each model. The predicted values fell
the undergraduate program in computer engineering at MSU. She also served as interim department chair in the Department of Electrical and Computer Engineering from 2000 to 2001. She was a research staff member in the Scalable Computing Laboratory at the Ames Laboratory under a U.S-D.O.E. Postdoctoral Fellowship from 1989 to 1991. Her teaching and research has focused on the areas of embedded computer systems, reconfigurable hardware, integrated program development and performance environments for parallel and distributed systems, visualization, performance monitoring and evaluation, and engineering education. She currently serves as principal investigator for NSF STEP and S-STEM grants in the college. Dr. Rover is
THINKING TOOL IN CONTEMPORARY MATHEMATICS AbstractThis study examines the relationship among learning, writing, critical thinking, and knowledgeretention. Having noted students‟ surprise at failing a math placement test when they believethey “know” the material on it, the author hypothesizes that a lack of critical thinking about thematerial in earlier math courses allows students‟ memory of it to fade over time. The author usesBloom‟s Taxonomy, as modified and published in 2001, to show the need for higher-levelthinking to facilitate knowledge retention. Writing is used as a principal strategy for stimulatingcritical thinking among students studying Contemporary Mathematics at
for his academic activities from various sources including NASA, The National Science Foundation, The Texas Higher Education Coordinating Board’s Advanced Research Program, U. S. Department of Commerce, The Texas Manufacturing Assistance Center, The U. S. Department of Education, and The U. S. Department of Labor. One of his current interests is in the area of manufacturing systems for rapid response Manufacturing. An extension of this work is the current effort that established the UTPA Rapid Response Manufacturing Center in a consortium of aca- demic institutions, economic development corporations, industry, local, state, and federal governments. This initiative is an integral component of the North American
. Calculating the value of the curl.Figure 8. Curl vectors superimposed on a user-created vector field.Divergence ExerciseThe purpose of the Divergence exercise is to demonstrate the concept of divergence of a vectorfield. The users enter the components of a vector field which are then plotted as shown in Figure10. The users are given a “control volume” whose location can be chosen by the users. Thepurpose of this “control volume” is to provide a means to visualize whether the vector field isconverging or diverging at a particular location. Once the users choose a point that they desire,one user is prompted for an exact calculation of the divergence at the control volume‟s location.If the user answers correctly, the program continues to the next round
number of universities beyond Oregon State University to develop evidence of the portability and generalizable use of the virtual laboratory instructional materials. Table 2 lists the institutions that have used the Virtual CVD laboratory remotely.Table 2. Summary of experimental activity of the Virtual CVD Laboratories outside Oregon State University Class Term Students Groups Runs Measurements Virtual Cost U Oregon Su 06 11 3 40 538 $240,350 U Oregon Su 07 10 3 57 610 $330,750 UC Berkeley S 07 25 25 96 8,980 $1,153,500
of the engineering workforce.Margaret B. Bailey, Rochester Institute of Technology (COE) Margaret Bailey is Professor of Mechanical Engineering within the Kate Gleason College of Engineer- ing at RIT and is the Founding Executive Director for the nationally recognized women in engineering program called WE@RIT. She recently accepted the role as Faculty Associate to the Provost for Female Faculty and serves as the co-chair on the President’s Commission on Women. She began her academic career as an Assistant Professor at the U. S. Military Academy at West Point, being the first woman civil- ian faculty member in her department. Margaret maintains a research program in the area of advanced thermodynamic analyses and
type of power plant.Calculating the power available from the wind relies on knowledge of basic geometry andphysics behind kinetic energy. This power is given as Power = ½ SV3Where, represents the density of the air, S represents the area swept by the blades, and Vrepresents the velocity of the wind.If we divide this Power by the section S, then Power / S = ½ V3depends only on the velocity of the wind and the density of the air. This last expression, Power/S,is called Wind Power Density (WPD) and has units of watts/m2.The energy generated from the wind during the interval [0, t] is given by Energy= a) Assuming = 1.225 kg/m3 and a wind blowing with a constant velocity V of 10 m/s through
’, ‘behavior’ and ‘function’ as wellas similarly named and closely related concepts (such as “form and function”) for describingaspects of design. I have chosen to use the terms Structure (S), Function (F) and Activity (A) anddefine them as follows.Designers apply functional intentions (F) to abstract structures of instruction architecture (S) byexecuting a variety of instructional design activities (A). These structures, functions andactivities are different abstract domains or layers of the design process; each domain capturessome aspect of design decisions. The usage of these terms will be illustrated by an example.Technical content changes rapidly and constantly but the professor has no control of that changeprocess and cannot make design