educational program. Page 11.640.2II. Dominant Learning ModelsThe ‘cone’ of learning shown in Fig. 1 has often been used to illustrate the educationaleffectiveness of various domains of learning experiences12. The activities at the bottom of thecone are said to provide learning opportunities with higher motivational and retention levelscompared to those that are at the top, where the ‘top heavy’ classical teaching styles have alimited effectiveness. The identification of the bedrock that forms the pyramid, described bydirect purposeful experiences has been a powerful and inspiring notion that has inspired the callfor providing real world
moved intothe undergraduate curriculum.Typical labs feature experiments carried out on one of the many DSP development boardsproduced for this purpose, such as those from Analog Devices, Motorola, Texas Instruments andothers. Matlab, or one of its clones,1, 2 is used for almost all DSP systems as the vehicle todesign algorithms, which are then implemented in either assembly language or in a compiledlanguage which is almost always C.For students, learning a new assembly language is sometimes difficult. Even for algorithmsimplemented in C, the low level interfacing software is often provided without much in the wayof explanation.This paper examines an alternative strategy of using a generic processor to implement DSPalgorithms with the inherent
for graduate students in professional master’s programs.East Carolina University (ECU) offers distance education (DE) graduate masters program (MS inTechnology Systems and MS in Occupational Safety) for technology-based managers. Thestudents in the program encompass backgrounds ranging from engineering and business, tonetworking and bio manufacturing. From a curricular content and focus perspective, theseprograms are positioned between the MBA and the master’s in engineering management asshown in Exhibit 1. For example, a primary program goal of the MS in Technology Systems(MS TS) is the professional development of individuals in technology leadership positions. Thismay include individuals with undergraduate engineering degrees, but more
partners, are committed todemonstrating the practical need for enhanced education in issues of sustainability and socialresponsibility.Funding for this project comes from the National Science Foundation DUE-0511322.IntroductionIndustry more than ever is facing challenges in the globally competitive marketplace. ThomasFriedman in his book The World Is Flat [1] talks about the forces that are changing thecompetitive landscape and the need for business and society to innovate more than ever to staycompetitive. Friedman also highlights the need for increased learning and skill development as away to survive in this rapidly changing and competitive climate.Friedman cites statistics showing a significant decline in US students pursuing science
Process for Needs-Driven, (Market-Focused) Technology Development & Innovation in Industry_____________________________________________________________________________________ Needs → Engineering → Technology ↓↑ Directed Scientific Research to gain a better understanding of phenomena when needed or anticipated during the technology development project Page 11.535.9 Appendix: B - 1 Stages of
: prejudice and the perceivedtechnocratic image are so deeply rooted that modifications and modernizations are often barelynoticed. Modernization of these studies should therefore be accompanied by the development ofcompletely new models for technology-oriented studies explicitly addressing the interests ofwomen, in particular concerning inter- and multidisciplinary aspects.The project GENESIS, located at Technische Universität Berlin, funded by the European SocialFund, is developing several models of co-educative, gender-sensitive model-courses within thethree major areas of natural sciences, computer sciences and engineering. These courses andtheir underlying concepts will be presented in this talk.1. Introduction: The Image of Technological
to write programs in a C-like programming language on personalcomputers using Windows or Linux. Once the software is developed and tested, it can bedownloaded to the Cybiko device. Other software and games can be downloaded to the deviceusing CyberLoad software. The project implements a simplified version of the 802.11 MAClayer on the Cybiko.15 The physical layer emulation, equivalent to that of the 802.11 standard,is given to the students, who are then asked to implement a set of well-defined MAC layerinterfaces on top of the physical layer interface, so that the application programs may use the setof MAC interface directly. Figure 1 illustrates the concept of the project. 802.11 MAC emulation project (students
was recently modified by the author who is the new instructor. During theplanning stage, the author studied the existing literature 1,2,3,4,5,6 and came up with hisconcept. His initial objective was to present a variety of different control technologies asoptions to prospective manufacturing engineers without contradicting the current coursedescription and the objectives as presented below in Table 1 This course provides an in-depth treatment of the methods and techniques used for the implementation of automated device control, both digital and Course analog. The student will achieve a mastery of both open and closed loop Description control methods and algorithms including
theaudience they are targeted at. Our proposal how to deal with this challenge is to deploy intelligentassistants using Bayesian learning which, given some initial knowledge on the audience, exploreuser behavior to build up a model of the learner within the system. This allows us to leave thechoice of the most suitable learning material to the learner. Thus, it enables an adaption of thesystem to individual learning styles while avoiding the risk of overwhelming the user by theplethora of choices of available material.Starting with models for learner and course, we present a prototypical implementation of such asystem within the virtual laboratory V IDEO E ASEL developed at the TU Berlin.1. IntroductionScientists’ and engineers’ workplaces are about
handles a wide range of multimedia enhancements. These may be used to enliven thelessons by visualization, allowing the system to surpass the didactic potentials of the traditionalchalkboard. The system records all actions and provides both a live transmission and a replay ofthe lecture from the web. Systematic evaluations from regular use at two universities arepresented.1. IntroductionUniversity teachers have often come to rely on the wide-spread use of slideware (such asMicrosoft PowerPoint) for additional motivation of their students by providing a modern touchto their lectures. These tools allow the teacher to easily produce materials with a professional,polished look and facilitate simplified publishing, both electronically or as hardcopies
that of “Smart Dust”. The SmartDust Project was run by Pister, Kahn and others at Berkeley and had a goal of creating acomputerized ‘mote’ about 1 mm3 with independent power supply and the capability to collectdata and communicate it to other motes13, 15. Micro-Electro-Mechanical Systems (MEMS)techniques are used to incorporate sensors and computational capability on the same chip. TheSmart Dust Project produced a number of interesting concepts and derivative projects but did notof itself become a standard. The terminology ‘smart dust’ is now sometimes used in a genericsense to refer to very small computerized motes.Many applications are being proposed to use mesh networking and sensor mesh networks.Firefighting applications have already been
– Intelligent Systems (4 credits). Interdisciplinary student teams work to control complex, nonlinear systems. Students are introduced to neural networks, fuzzy logic, and genetic algorithms. The course also includes a project involving students at multiple universities. The prerequisite is ME 419 or ECCS 444. This is an elective course for either electrical or mechanical engineers. This course is running for the first time in Spring 2006. The typical enrollment is expected to be about 15 students. • ECCS 444 and ECCS 445 – Control Systems 1 and 2 (4 credits each). Classical feedback control systems. Mathematical modeling of systems. Design of feedback control systems using root locus, frequency
that thisdifference is statistically significant (p ø .001). On eight of the 20 questions, the increases of testscores were statistically significant, while on only one question was there a statisticallysignificant decrease. Given the success of the new approach, we intend to use it in a largemechanical engineering course during the Spring 2006 semester.Introduction It is common practice in large lecture-based classes to present projected slides and thenpost the slides online after class. Because Microsoft PowerPoint dominates 95% of the marketshare of slide-making software, PowerPoint’s defaults greatly affect the design of mostpresentation slides [1]. These default settings for typography and layout lead presenters to createslides
11.32.2an 11:1 undergraduate student to faculty ratio. The University is a class R2 researchschool with annual research funding of ~$40M with 24 research centers or researchinstitutes. Lehigh has an active and engaged alumni serving in various capacities, such asindustry liaisons, department and program advisors and members of the University Boardof Trustees. Lehigh has consistently ranked in the top 10 nationally among researchinstitutions in the Standard and Poor’s survey of Fortune 500 companies in thepercentage of Lehigh Alumni in corporate leadership positions.Entrepreneurship at LehighLehigh University offers regular courses and full-time regular faculty as well as adjunctfaculty (Lehigh calls them Professors of Practice) dedicated to
shown in the following table. The assignment handouts supplyadditional details, and are provided in the Appendix. Table 1: Summary of Challenge Problems Challenge Problem Primary Fluid Mechanic Topic Addressed Draft Requirements of a Mississippi River Barge Buoyancy Design of a Plug Hydrostatics Thrust Blocks in Water Main Construction Linear Momentum Calibrate a Pitot Tube Energy Equation Analysis of a Water Distribution System Energy Equation Design of an Open Channel
role for the methodology and the development ofALPs. We selected two methods to categorize student’s learning styles: (1) MBTI, (2) VARK,and five models of the learning process: (1) Kolb, (2) Bloom’s taxonomy, (3) Scaffolding, (4)Inductive / Deductive flows, and (5) Learning from Multimedia. Each of these is describedbriefly below. Although these educational or psychological theories are, of course, not ouroriginal work, there are aspects of the use of these in our educational innovations that areoriginal. These include 1) the particular mix of two methods to categorize student’s learningstyles and four models of the learning process which gives our work a more balancedfoundation than may be possible if one bases their approach on one or two
series of student-createdapplications of visualization concepts in teaching a number of power system topics. Thesimple visualization schemes emanating from students’ perspectives serve to both aidunderstanding of concepts as well as enable the instructor to systematically integrate thevaluable inputs into instruction delivery.1. Introduction The methods and patterns of presentation of traditional topics and concepts in powerengineering have stabilized and remained largely intact, and until recently have survived thedeluge of changes brought about by the digital revolution. This may be attributed to a varietyof factors -- refining pedagogy to better adapt undergraduate power engineering classes to theneeds of the times presents much demand
eightsemesters with a GPA over 3.0, pointing to the need for qualitative research of that population tolearn if they are leaving because the early curriculum failed to give them an accurate impressionof what lay ahead. There is also evidence that students who are the least likely to succeed inengineering are the least aware of their predicament, which has implications for engineeringadvising and academic policymaking.II. Prior research on predicting engineering attritionThe graduation rate of undergraduate students who matriculate in engineering is not muchdifferent from that for the general student population, and the rate increases significantly afterstudents reach a ‘threshold’ of progress in engineering.1 The pool of students graduating highschool
. Page 11.719.1© American Society for Engineering Education, 2006 Implementation of a problem-finding and problem-solving oriented engineering experiment course in a large class Nobuyuki Kitashoji , Eiichi Sentoku Practical Engineering Education Program Kanazawa Institute of Technology 7-1 Ohgigaoka, Nonoichi, Ishikawa 921-8501, JapanAbstractFundamental Lab for Engineering ( FLE ) I, II and III at Kanazawa Institute of Technology( KIT ) are mandatory engineering experiment courses for 1st and 2nd year undergraduatestudents. In 2005, approximately 1,700 students enrolled in the courses.The main objective of the courses is to train students
$0 $100 - $200 ($200) Maintenance $1000 $500 $500 Air Use $480 $100 $380 Valve MTBF 1x 2 – 5x Savings $680/valve(Based on $0.06/kWh)Table 1: Potential Valve Savings(Source: Top Control USA, Inc. as printed in Control Magazine, April 2002)1The aforementioned studies are primarily geared to the process control industry. However, thereis little reason to suspect the HVAC industry is immune to such considerations. For example, thefollowing is excerpted directly from a report
offered.Introduction As engineering educators become increasingly aware of the demand for a diverseengineering workforce of the future, retention issues plaguing the field have drawn addedattention. Focus has therefore been placed on the choices, achievement, and interests ofundergraduate engineering students. Researchers have suggested that students’ choices to pursueand persist in engineering, and their achievement and interest in the field, are significantlyinfluenced by their engineering self-efficacy beliefs – their confidence in their abilities toperform the tasks that they deem necessary to succeed in the field.1, 2 The richness of the literature surrounding the assessment of science, technology,engineering, and mathematics (STEM
logic for control/programming of the modulator.This paper will detail the hardware and software issues associated with this system and brieflydescribe the classroom utilization of this system in an undergraduate environment.1 IntroductionThe convergence of digital communications and digital signal processing is gaining emphasis inmany engineering colleges today. The implementation of these communication systems usingboth high performance digital signal processors (DSPs) and field programmable gate arrays(FPGAs) is nothing new. In general, these concepts and techniques can be discussed under theumbrella term of software defined radio (SDR). To understand a SDR, one needs to understand
engineering program at Central Michigan University.The focus of the present paper is the first course in the mechanical engineering laboratorysequence, EGR 360 Solid Mechanics Laboratory. Thus it serves both as a transition frombasic science laboratories to engineering laboratories, as well as a foundation for moreadvanced engineering laboratories and the senior design sequence. Therefore, theobjectives suggested by Feisel and Rosa, with appropriate modifications and additionalspecificity have been used as the basis for the EGR 360 course objectives, which arestated below.Upon successful completion of this course, the student will have the ability to:1. Select and use appropriate sensors, instrumentation, and/or software tools to makemeasurements of
project. Fewstudents have adequate knowledge in all of the required fields. Engineering students with a newsports product know little about the business skills required. This is made even more difficultwhen students outside of the business or engineering fields have ideas for new product.Unfortunately recent research suggests that students outside of business and engineering have theideas and tolerance of risk associated with entrepreneurship.1 The authors have witnessed manypromising projects end because of these issues. Sometimes the idea originator can not enticepeople with the required skills to join the development team. The idea generator does notusually posses the financial resources to pay up front for the required expertise. Nor does
WebCT VistaTM. VistaTM softwareaffords instructors a number of secure electronic course management tools such as grade accessfor students, posting of assignments, and supervised chat room capabilities. Students were Page 11.849.3instructed to look for the posted assignment in VistaTM approximately 24 hours prior to the nextclass time. The deadline for submission was one hour prior to the beginning of class. Studentscould submit their answers after the deadline up until the class start time to receive credit, butlate submissions would not be used to shape the lecture content for that session.Three types of assignments are defined for JiTT: (1
detrimental to the relevance of engineering solutions tosociety as a whole. A future engineering workforce lacking a diversity of perspectives may alsobe ill equipped to recognize the needs of a diverse society. In attempts to better understand why the science, technology, engineering, andmathematics (STEM) fields are experiencing such a loss of able students, many researchers haveturned their focus to the choices, achievement, and interests of students in the fields. As a result,many studies have emerged demonstrating a clear link between students’ self-efficacy beliefsand their persistence,1-8 achievement,2, 8-13 and interest2, 9-13 in the fields. Introduced by Banduraas a part of his social cognitive theory, self-efficacy beliefs describe
the learning process. However, theirmethods seem to be time consuming and re-direct attention away from the traditionalapproach in a way that puts too much pressure and responsibility on the students for theirown learning. In this paper, a balanced PBL activity is used to help students transitionfrom the traditional to a self-guided PBL approach. The method is described in detaillater in the paper.Description of MethodologyIn an attempt to fully incorporate PBL into an engineering technology thermodynamiccourse, an active learning approach has been devised and tested in a real classroom Page 11.413.3environment. The approach, as depicted in Figure 1
. 1. While these demos allow the students to see fluidmechanics in action, they are still somewhat remote, particularly for those students sitting in theback of a large classroom. Furthermore, the students do not get to actually touch or run theexperiments themselves. Flow Parabolic surface (a) (b) (c)Figure 1. Some sample class demos used in the undergraduate fluid mechanics class: (a) a U-tube manometer with higher pressure on the right column, (b) a converging-diverging nozzlewith air flow from left to right demonstrating the Bernoulli principle of lower pressure at thethroat
the material? Q8. What if the company lawyer asked for the material? Page 11.599.4 Q9. Through all of these questions, has it at any time become more ethical to read the material?There is a distinct goal for each question in this sequence.Question 1 is used to establish the moral climate of the class. In my experience, and hopefully inyours, the students will know the correct answer is to stop reading the material and return it tothe sender.Question 2 is simply to distract the class from their first response.Question 3 is to distinguish between legality and ethics. While we expect them to be identical,legal