theory have been slow to enter the world ofengineering education, yet they offer some important leaps forward for the engineering educationcommunity. In particular, they bring to light some problematic assumptions or myths thatinfluence our framing of “the problem,” our development of research questions, our studydesigns, and our interpretation of findings.This paper examines three myths of gender and race that operate in engineering education, anduses a review of the literature as well as findings from the authors’ research to address them.Myth 1: Gender Difference and Gender EssentialismWhen engineering education researchers study gender, they often construct studies to look fordifference. Studies reviewing the literature on why women are
as an indicator of how close a material is to relevant transitions. Stress versus strain behavior (e.g., elasticity) and stress versus time and strain versus time (e. g. viscoelasticity) Multi-axial loading behavior Behavior of specific geometry (e.g., beams, thin wall objects)With the core course ideas and the three levels of student achievement, a 7 x 3 table for thecourse learning outcomes is created (see Table 1). Table 1. Course Learning Outcomes Level 1: Calculate/identify Level 2: Apply/analyze Level 3: Evaluate/design Functional decomposition
. Page 22.358.2 2011 ASEE Annual ConferenceStudents have been involved as follow: about 35 undergraduate students (ARE/ME) have been divided ingroups: - Instrumentation and measurement (temperature, pressure, airflow, combustion analysis, thermography, dew point, duct leakage, equipment efficiency, and so on). - HVAC system auditing - Attic Auditing - Basement Auditing - Simulation and regression models 1) Instrumentation:Several buildings have been instrumented with sensors placed in attics, on walls and in basements. Apower meter has been installed in each building, and a data acquisition system allows the storage of themeasured data. 2) Comprehensive Experimental study
Device Technologies: A System-Based Overview Using Engineering Standards 1 isdivided into two Parts. In Part I, foundational medical device topics, such as some commonsensors of medical instruments, are described in chapter 1. Students are then exposed to 19 basicmedical devices in 19 chapters: the electrocardiograph, pacemaker, external defibrillator,implantable cardioverter defibrillator (ICD), heart valve, blood pressure monitor, catheter/baremetal stent, hemodialysis delivery system, mechanical ventilator, pulse oximeter, thermometer,electroencephalograph, deep brain stimulator, cochlear implant, functional electrical stimulator,intraocular lens implant, hip prosthesis, drug-eluting stent, and artificial pancreas. The medicaldevices chosen
Implementation Strategy Our project implementation strategy is based on the transformation model depicted inFigure 1, which comprises five interactive nodes: • Node 1: Interview/survey engineering stakeholders to identify the computational competencies needed in the engineering workplace. • Node 2: Abstract common⎯in an engineering context⎯ computational problem-solving principles from the interview/survey data. • Node 3: Align the computational problem-solving principles with computer science (CS) concepts. • Node 4: Identify opportunities to integrate/reinforce these CS concepts in the curricula. • Node 5: Implement revisions in engineering curricula. The Transformation Model provides a framework
and their mathematicalrepresentation are covered in chapter 2 of our Statics textbook.1 Equilibrium of a particle in two-and three-dimensions are discussed in chapter 3. Students learn to draw the free-body diagramof a particle acted upon by several forces and form the force equilibrium equations. Two-dimensional problems can be solved for the magnitude and/or direction of unknown forces actingon a particle using the analytical method. However three-dimensional problems require thevector method as it is extremely difficult to calculate the angles made by the forces, acting on aparticle, with the x, y and z axis. The vector method involves the calculation of the unit vectorassociated with each force acting on a particle, formulation of the
any discrepancies in the geometry as well as dimensions. The outcome of thequality control would be some recommendations for corrections so the part meets perfectly withthe blue print specifications prior to the mass production of the part. These three steps areimplemented in the multi-bladed rotor to inspect the geometry and to compare dimensions withthe blue print specifications. This information is instrumental to understanding why the turbinewas reading different flow rates in two different directions. As depicted in figures 1 and 2, themulti-bladed rotor is mounted in the chamber/ housing of a turbine flow meter and suspended inthe fluid stream on a free-running bearing. The turbine flow meter is a device to measurevolume flow rate of
discipline of System Designfrom at least four different perspectives; via: 1) PLD/FPGA centric system design, 2)Microcontroller based Embedded System Design, 3) PC based Network-oriented DistributedSystem Design and 4) DSP based Real-time Processing based System Design1. The hardwarefocus is in the areas of PLD design, Analog Electronics Embedded System design, Electronicfabrication, Biomedical Electronics, Computer Networking, Distributed Systems and DigitalSignal Processing (DSP) .This proposed plan emphasizes on both disciplines (Electrical and Computer EngineeringTechnology and Computer Science), along with a solid math, science and general educationbackground, to enable industry ready students to tackle the challenges of the future. Theproposed
. The CEENBoT™ was designed to address educational needs at K-12 andUniversity levels in terms of being a highly flexible, robust platform for project-based, hands-onlearning with expandability for various microprocessors 1. It has a wide range of applicationsdeveloped for K-12 math and science standards, and an ongoing development for a grades 5-8curriculum via an online interactive website 4. It has a modifiable design consisting of off-the-shelf electronic hobby store components, instead of proprietary components as withcommercially available robot kits.Since its creation the CEENBoT™ has been applied as a centerpiece for hands-on learning in theextensive Silicon Prairie Initiative for Robotics in Information Technology (SPIRIT
students participating in coop during 1994-95through 2004-05 were filtered out of the coop ed data sets and the students who obtained full-time employment during 1998 through 2006 in each discipline were also isolated (see Table 1).The two data sets per discipline were inserted into a Microsoft Access database so that thefulltime and coop ed data for each discipline could be matched on students first and last names.This process yielded 45 computing students and 657 business students. In order to establish acommon basis of comparison between the coop ed students from the two disciplines, the coop edcompanies in each discipline’s data were coded on the basis of whether the company’s industrywas in both data sets. Finally, these industries were
, supported by a National Science Foundation CISEPathways to Revitalized Undergraduate Computing Education (CPATH) grant, designed toprepare students for pervasive, advanced computing in the workplace. These data includedparticipants (N = 389) enrolled in undergraduate computer science or engineering courses inseveral engineering programs in 2009 and 2010. Participants completed measures ofengineering/computer science self-efficacy, computer self-efficacy and self-ratings of sixcomputational capabilities which had been indicated by industry as important for new hires: (1)database fundamentals, (2) process modeling and design, (3) basic knowledge of programming,(4) data analysis skills, (5) communication /organization tools, and (6) web searching.Two
prodigious; each new concept isbuilt on a foundation of many other concepts where the students are encouraged to think throughproblems based on concepts and not only follow a set of problem solving procedure usuallyoutlined in text books. Every new problem is an interwoven conceptual hurdle.Our goal is to help students recognize how new concepts or ideas fit together with thosepreviously learned. Computer tools such as MATLAB, EXCEL, and PSPICE cannot replace thetraditional methods for mastering circuits.An appropriate pedagogical approach using a set of teaching principles should consider theaspects that:1. Circuit analysis can be fun2. It is a marvelous education in logical thinking3. Application aspects of concepts covered toward a design4
StudyAbstractThis paper documents design strategies using Grasshopper and Rhino 3D as an instructional toolfor conceptual design. It discusses the underlying concepts of generative design and includesexamples using Grasshopper with Rhino 3D for both massing and for basic structural layouts. Italso discusses the necessary skill set, beyond that associated with the operation of the underlyingCAD applications, required for students to utilize these applications. It then proposes aframework for incorporating generative design into CAD courses utilizing a 2-D to 3-D sequenceof instructional activities.Part 1: IntroductionThe digital revolution and its associated discourse is increasingly influencing all of the designfields, particularly architecture [1]. In his
Case of Physics. Journal of Applied Developmental Psychology. 2000;21(1):85-96.4. Wieman C, Perkins KK, Adams WK. Oersted Medal Lecture 2007: Interactive Simulations for Teaching Physics: What Works, What Doesn't, and Why. American Journal of Physics. 2008;76(4&5).5. Douglas TC, Santiago-Roman A, Streveler RA. Does Conceptual Understanding Matter: Patterns Of Error In Senior Engineering Students Problem-Solving In Statics? 2010 ASEE Annual Conference and Exposition. Vol Louisville, KY2010.6. Craik K. The Nature of Explanation. Cambridge, U.K.: Cambridge University Press; 1943.7. Johnson-Laird PN. Mental Models: Towards a Cognitive Science of Language, Inference, and Consciousness. Cambridge, MA
increasingly been recognized as a mechanism for synthesizing real-world experience with academic course content. In recent years, it has been widelyacknowledged that classes designed by utilizing PBL Project - Based Learning are effective inenhancing the problem-solving ability of university students. [1] First coming to prominence inthe 1990’s, effectively structured project-based learning exercises provide a framework in whichstudents are required to draw on their prior coursework to develop solutions for “real world”problems. In a project based learning environment the learners are “actively engaged in workingat tasks and activities which are authentic to the environment in which they would be used” witha focus on “learners as constructors of their
: The Typical Transport CourseTransport phenomena is a subject of the chemical engineering undergraduate curriculumthat is taught in widely differing ways, depending upon the institution and its focus. Ingeneral, courses in fluid mechanics, heat transfer, and mass transfer can be categorizedas: 1. Transport phenomena approach – in this approach, instructors focus on theoretical derivation of microscopic conservation equations and methods for obtaining analytical (and sometimes numerical) solutions. A typical book is that Bird, Stewart, and Lightfoot1. 2. Unit operations approach – in this approach, instructors focus on the practical use of macroscopic balance equations and using them for the design of pumps, heat
Teacher Professional Development CourseAbstract The engineering design process has evolved over time to be the central and effectiveframework that engineers use to conduct their work. Logically, K-12 STEM professionaldevelopment efforts have then attempted to incorporate the design process into their work. Therehas been little in the STEM literature, though, of the explicit measurement of the growth indesign process knowledge. Our study presents findings of significant improvements inknowledge of the design process that resulted over the course of a recent summer STEM instituteand professional development program among K-5 teachers. As more emphasis is placed on integrating STEM into the curriculum 1 there is a need toenhance the
paper presents results from the introduction in fall 2010 of an innovative assignment into atraditional fluid mechanics course. The new assignment built on students’ work experiences,observations of the natural and built environment, current events, and curiosity and is called theApp, named specifically as a spin on the many apps that are available for smart phones.For the assignment titled CEE310 App: Real-world Application of Fluid Mechanics Concept,students begin with their experience, observation, or curiosity and work in pairs to demonstratetheir understanding of a fluid mechanics concept introduced in class. This assignment has fourparts: (1) identify and research an example that relates to a fluid mechanics concept;(2) designand deliver
., surveys of student opinions) and quantitative data(e.g., course performance). Baseline data (e.g., student surveys) were available from previousyears for comparison. Students reported that the projects positively contributed to theirunderstanding of course material. We also found that students’ awareness of the GrandChallenges and the role that signal processing can have in finding solutions increased. A numberof students indicated that they plan to pursue more in-depth projects inspired by what theylearned during the laboratory.1. IntroductionThe National Academy of Engineering (NAE) has identified a set of fourteen Grand Challengesfor current engineering research and practice. These include such diverse topics as reverse-engineering the brain
orstudents. New learning objectives, educational interventions and pedagogy are needed to teachdata curation skills. Librarians need to translate traditional library science skills into a datacuration context in order to forge the partnerships necessary to have a successful datamanagement program.References1 Gold, A. Cyberinfrastructure, Data, and Libraries, Part 1. D-Lib Magazine 13, 9/10, doi:10.1045/september20september-gold-pt1 (2007).2 Gold, A. Cyberinfrastructure, Data, and Libraries, Part 2. D-Lib Magazine 13, 9/10, doi:10.1045/july20september-gold-pt2 (2007).3 Westra, B., Ramirez, M., Parham, S. W. & Scaramozzino, J. M. in Issues in Science & Technology Librarianship no. 63 (Fall 2010). Available
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ability.Key Words: engineering practice; educational reform; mineral processing engineering Page 22.377.2 Corresponding author. Tel.: +86 516 83995505 Email address: ymzhao@cumt.edu.cn (Y. Zhao), llaoduan@126.com ( C. Duan) 1. Introduction Education on mineral processing engineering has been given a high priority in China.More than 30 universities set up the major of mineral processing engineering. Theseuniversities cultivate lots of mineral processing engineering professions which meet thedemand of
governmentconstruction bodies. There are thousands of small contractors, which compete for small jobsor work as sub-contractors of prime or general contractors. Total volume of the constructionindustry reached 42,885 million in 2004-05 up from 21,451 million in 2000-0121.The rapid increase of the urban population in developing countries such as India has forcedthe reevaluation of the importance of high-rise buildings as shown in Figure 1. In developingthe various construction operations of multistory buildings and industrial facilities, timelycompletion and quality must be considered. The quality of construction is dependent, in part,upon the construction techniques adopted to erect the building.In most developing countries such as India, the construction
debate during 2008 was devoted to outline energy policy, it was clear thatboth candidates have studied the energy challenges facing the nation. President Obamaproposed his New Energy for America plan and signed the American Recovery andReinvestment Act (ARRA). The realization is that the component of energy policy mustprepare a technical workforce in the alternative energy areas. We must involve all ourefforts to ensure the outcome of ARRA to help create five million new jobs bystrategically investing $150 billion over the next ten years, to catalyze private efforts tobuild a clean energy fixture, to have more oil than we currently import from the MiddleEast and Venezuela combined with 10 years to put 1 million Plug-in-Hybrid cars with upto 150
explore the salientmeanings and the cultural backgrounds. Animal expressions may reveal people’s thoughts, emotions, culture, andcustoms. The analysis of about 10,000 Persian and English proverbs shows that there are 207 Persian and 97English “dog” expressions. In spite of cultural and social differences between English and Persian, the salientsemantic properties derived from the name of this animal are nearly the same. The main semantic molecules of theword “dog” are “worthless, bad-tempered, cruel, violent” in both English and Persian. Key words: proverbs; animal metaphors; semantic molecules; animal expressions; salient content 1. Introduction The present study is within semantic-pragmatic framework. Over the years, there has
energy in that liter of gasoline is used.Now, let us consider a vehicle powered by an internal combustion engine at 20% efficiency and8L/100 km (30 mpg). To simply move the vehicle, it requires: %H ŵŸ Ŷ ˫ˣ Ñ ˨ % % ˫ˣ Ñ ˨ 0 F 0 ŶŴ ˥˦˦ ŵŴŴ ˫˭ ŵŴŴ ˫˭At a cost of $1/L ($3.80/gal), the mileage of 8 L/100 km (30 mpg) equates to: Řŵ ŴŴ %H Ř% ŴŴ ŘŵŶ %Ż 0 H ŵŴŴ ˫˭ ŵŴŴ ˫˭ ŵŴŴ ˭˩An electric version of the same car with a charge/discharge efficiency of 81% and charged at
project,budget provided and final testing procedures. The lessons learned regarding these differentiterations are synthesized, an overview of some of the different design concepts is presented andsuggestions are provided for successful implementation of the design project.IntroductionLaboratory components to engineering courses are valuable for providing students hands-onexperiences, demonstrating principles learned during lecture and developing basic experimentaland measurement skills. Depending on the target learning outcomes, students in a lab class maytake part in a variety of experiences including demonstrations, “cookbook” type experiments,guided inquiry exercises, and design, build, test (DBT) projects 1, 2, 3, 4.In DBT projects a student
time response characteristics for this system are sufficiently slowsuch that control theory for dynamic control applications is not needed4.Conveyor SimulatorThe conveyor simulator uses a 24V dc motor that draws approximately 300mA, Plexiglas sidewalls, sandpaper for the track, and three OR500-ND infrared proximity sensors5. A pre-made partgets placed in front of the first infrared sensor which will start the dc motor. The part will continuedown the conveyor at an approximate speed of 1 inch/second until a second infrared sensor isreached and the conveyor will stop. The part will be stamped by the user, and then the part willcontinue down the conveyor until the third and final infrared sensor. Then the conveyor will stopoperation and wait for
Excel.Technical description of the assignment Much of the following background is taken from a single publication [1], and interestedreaders are directed to review that article for more description of the solution of the transientcooking problem. Solution methods to transient heat transfer problems of single-phase systemsare relatively well known. These follow a transient form of Fourier's law: ∂2 T ∂ T (1) = ∂ x2 ∂ tThe partial differential equation for temperature in time and space can be solved most simplyusing the method of lines, or a variant of finite differences, i.e., the domain of time and spaceare both broken into discrete elements
Spring 2009 a graduate course in “Geotechnical Engineering”, the control group was taughtusing the traditional lecture method. In Fall 2010 the same course was taught with the inclusionof an ethics component; this course was the experimental group. The students were taught thatethical issues have multipronged solutions that must address many different areassimultaneously. In making ethical decisions the students were not expected to determine "yes orno", "right or wrong" answers. Instead they were asked to deal with the variables in order toimprove the overall condition of the existing situation. Twenty case studies13 were presented in 5groups, as shown in Appendix 1. Each case study contained problems that are commonly facedin engineering