area of engineeringdesign research that relates in some design model to the latter phase of reflective practice (Schön,1983). Studying the relationship between product quality and diagnostic reasoning is a fruitfularea of future study. The results of this case-study comparison preliminarily suggest thateffective diagnostic reasoning may be related to better product design, since such a capabilityenables designers to learning more from product testing. When effective diagnostic reasonsersperform more design iterations, they may achieve greater insights into their devices and discovermore features to improve while still working within the time-constrained setting in which mostdesign work takes place. Disparities between intended function and
4and 5 also show the laser-based illumination setup used for the current testing. A 500mW solidstate laser was mounted vertically on an adjustable support platform. The platform providedlateral displacement adjustment and tilt adjustment degrees of freedom for aligning the lightsheet with the plane of the smoke streams. A simple cylindrical lens optic produced the desiredsheet of light for illumination of a section of the test section. The top of the test section, as wellas the side-walls, are of Plexiglas for optical access. Not all of the flow field could be viewed atthe same time with the current optical setup due to the spreading of the laser light sheet. Forsafety reasons, precautions were taken to minimize stray laser reflections. Test
break times. Many students chose to stayin the classroom and continue refining their bridge designs. This suggests that the group wasactively engaged, and will perform higher on their post camp test. The test scores reflect thisobservation. Building Bridges to the Future subject areas such as mathematics had an averageincrease of 1.68 or (11.2%), science had an average increase of 1.35 or (13.5%), and an overallincrease of 3.4 or (8.6%). This observation of active engagement of the students is validated bythe student’s evaluations of Building Bridges to the Future. 94.5% of the Junior High studentsresponded that they would attend the camp the following year, whereas 100% responded thatthey would recommend Building Bridges to the Future to a
the process ofcreating a complete lab manual with pre-labs, experiments, and lab report questions. Evaluations(multi-method matched group evaluation7) will be carried out to assess retention, improvedattitude towards networking and other disciplines for which experiments are developed. Thus farwe have found that undergraduate students are very interested in the subject of sensor networks(given the demand for the new course and offered senior design projects).AcknowledgmentThis work is supported by the National Science Foundation under Grant No. DUE-0633576. Anyopinions, findings, and conclusions or recommendations expressed in this material are those ofthe author(s) and do not necessarily reflect the views of the National Science
yourecharge the 5 Ah battery to maintain the mote in the operational condition.The understanding of the concept of EM wave propagation is one of the fundamental topicsincluded in physics and physical science textbooks. Participant of this study indicated that theytook at some point a university physics course so they could explain this question based on theirprevious knowledge. It is also possible that participants gain an understanding through directexperimentation with the Tmote devices and some of the responses can reflect that. To teststudents’ understanding of electromagnetic waves propagation they were asked the questionwhether it would be feasible to try to increase the speed of transmission of EM signal usingwater as the media where the wave
software (Autodesk Inventor 2008©). They then develop initial energy models oftheir coasters using Excel, use their results to find design problems, and revise their design. Oncethey have approved revisions, they begin to build their coasters. Upon completing the coasterrequirements, students document their final design, including a revised Excel energy model. Inorder to validate their designs, students use eight custom-made speed sensors that they attach tothe coaster track to measure the speed of the coaster car at critical locations along the track.Speed measurements are captured in LabVIEW, analyzed, and submitted in a final report asevidence of how well the Excel design model reflected the actual behavior of the roller coaster.The project
some minor modifications, the voice of students as reflected in their evaluations can also be incorporated into this methodology. However, such a modification is outside of the scope of this paper and is not discussed here. The House of Quality is the principal tool used in QFD. It is depicted in figure 1.Figure 1: The House of Quality (QFD)The customer requirements are entered in the left column and are translated into coursecharacteristics under technical requirements. The customer requirements are prioritized under thecustomer importance column. An interesting feature of using this approach is to comparecharacteristics of the course with similar courses available at other institutions so as to be able toattract more students
13.1320.7 level based upon the analysis of the pre and post questionnaire results. The reasons could be o Students did not have time to do the research work on the case studies. o Students had so many things going on when it was near the final exam week. o Students were overwhelmed by the questions during the question session of the presentation. o Post questionnaires were taken right after the presentation. Students might not have time to reflect on their responses towards Engineering after questions asked by the instructor and other teams.In conclusion, the results obtained at HU
Page 13.1220.2academic learning. These programs comprise co-op jobs, internships, apprenticeships, and othermethods that integrate experience in the world with experience in the classroom. Theseapproaches are becoming increasingly relevant in a work culture characterized by the need tocontinuously reflect and learn from ongoing experience.2 A 1998 census of cooperativeeducation found that approximately 250,000 U.S. students were placed in cooperative educationjobs that year.3 In 2006, the career publisher Vault.com. reported in its third Internship Surveythat some 62% of undergraduate students completed an internship that year.4In terms of outcome studies from co-op, the majority of research was conducted in the 1970’sand 1980’s due to the
materials we develop. An exampleof a completed problem set will be presented in the poster presentation.Synthesis of Nanoscale ParticlesDr. Robert Krchnavek has led the efforts in this area along with undergraduate student JohnCarroll. A series of laboratory experiments suitable for high school students, are beingdeveloped. These laboratory experiments reflect the importance of nanoscale drug particles. Ourexperiments intend to demonstrate (i) the enhanced solubility of a nominally insoluble particleby creating a nanoscale version of it, (ii) demonstrate the various methods of achievingnanoscale particles that are relevant to the bionanotechnology industry. Of course, the greatestchallenge in this endeavor is to create laboratory experiments with
developed a series of course-level outcomes that help tomeet industry-defined competency gaps. In this project, we are creating a bridge between ABETprogram-level outcomes and these course-level outcomes. Other institutions will be able to useour curriculum model to map relevant course-level outcomes to the mission as reflected in thehigh-level ABET outcomes. This will help institutions satisfy accreditation requirements andmeet industry needs, while maintaining proper flexibility in educational offerings.This project directly addresses NSF’s cyclic model of STEM education, as shown in Figure 1.Our original NSF project to adapt the LF for implementation in a laboratory setting addressed thefirst part of the NSF model: Creating New Learning
issues has not shown a significant increase, this likely indicates that a single smallexternal change to the project (reusable containers) is not significant enough to impact students’beliefs and attitudes. In the Spring 2009 semester additional environmental issues will beincluded. The simulation will be more impacted by the introduction of more and variedenvironmental factors and environmental impact metrics.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grant No.0633014. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation. This work was also partially
. Page 14.912.3ApplicationsIn this section, we expand discussion of the two applications mentioned above,confidence interval construction and hypothesis testing, and give some examples.Confidence IntervalsConfidence intervals of any statistic can be computed by generating a largenumber of pseudo samples by bootstrapping. The statistic in question should becomputed on all the pseudo samples, plus the original sample. A confidenceinterval is then the appropriate percentiles of the list of computed statistics. Forexample, to construct a 95% interval for the mean of a population, we generate999 pseudo samples by bootstrapping. Including the original sample, we have1000 means, the variance of which should reflect the variance of the originalmean
support open inquiry.(Barrows, 2000). It is important that the aims and objectives of problem-based learningare reflected in every aspect of the learning environment created. Problem-basedcurriculum should document accomplishments at the upper levels of Bloom's TaxonomyTriangle. (Boud & Feletti, 1991). Scholars in the area of cognitive science andeducational psychology have identified four features that clearly separate a problem-based curriculum from a traditional, topic-based curriculum. (Nickerson, et. al. 1985). Inthis presentation, the author describes how he has utilized the four features in the coursehe teaches. He also presents analyses of the feedback data he has obtained and suggestsguidelines for further improvement (Narayanan
decreased output), solve the problem” • An ability to design a system with multiple constraints • An ability to technically communicate Evaluation of Outcomes The main assessment tool for quantitative evaluation included two rubrics (Appendix A) modified and designed for this particular course. The first rubric was used to score Projects 1-4; the second rubric was used to score the final project and poster presentation. The faculty review and grading of design projects reflected this rubric, and evaluated outcomes and student progression in demonstrating the abilities most important to long- term career success (note the emphasis on technical communication skills in the
summarize the results from design verification testing. It should indicate whether all the requirements were met. If any requirements could not be met, they should be listed in this section. The students should refer to the RSLogix500 project report.≠ Conclusions – The conclusions section should also summarize what students learned by executing the project and should identify problems encountered other than equipment problems during the lab session.≠ References – The references should be any resources relevant to the assigned lab topics.≠ RSLogix500 Project Report – The RSLogix500 report should reflect the following options in the configuration and ladder options dialog: Figure 8. RSLogix500 project
project report.≠ Conclusions – The conclusions section should also summarize what students learned by executing the project and should identify problems encountered other than equipment problems during the lab session.≠ References – The references should be any resources relevant to the assigned lab topics.≠ RSLogix500 Project Report – The RSLogix500 report should reflect the following options in the configuration and ladder options dialog: Page 14.776.8 Figure 8. RSLogix500 project report options Figure 9. RSLogix500 ladder setup option ≠ RSLogix500 File - The ladder logic diagram
was funded by the National Science Foundation DUE # 0439706 , # 0736997 andOISE # 0623351. Any opinions, findings, and conclusions or recommendations expressed inthis paper are those of the authors and do not necessarily reflect the views of the NationalScience Foundation. We particularly thank Dr. Marjorie Lueck, Program Director, NSF, for hervaluable support and encouragement. We thank the research center in India for providingsignificant research projects. We thank our faculty colleague at IIT Madras, Dr. KrishnanBalasubramaniam for working with us in providing the necessary technical and engineeringinformation in developing this case study.References1. Shaha, S.H., Integrated outcomes: where CIOs need to be thinking. Health Management
department.6 Read and reflect on your courseevaluations, as some of the students’ comments may prove to be very insightful.2Though the hurdle to tenure may be high, you should feel some comfort in the fact that yourepresent a substantial investment on the part of the department and university, and it is ineveryone’s interest that you are successful, with many productive years ahead. Page 14.959.6Be AssertiveTo be successful, you must be assertive. In department meetings, though you may feel youshould be submissive to those with seniority, speak your mind when you need to. Everyone willwelcome the honest and fresh perspective that you bring.Request a
, andinterests. This section describes the composition and responsibilities of a search committee.The composition of a search committee should reflect the widest range of department interestsand experience. At the same time, the committee should be small enough to work togethereffectively. Ideally, a faculty search committee should consist of 3-6 members that are arepresentative sampling of the department as a whole2. The larger the committee, the moredifficult it becomes in arranging common times to meet. It is important to strike a balance suchthat the search committee is “small” enough to represent as many interests as possible. Membersshould also have a shared vision of departmental goals and an understanding of how theparticular position meshes
students.Additionally, there was an effort to reduce the cost of required software, purchased by thestudents for their coursework. It was discovered that depending on the sequence of offeredcourses, some software needs could be kept to a minimum, thereby creating an added financialbenefit. Therefore the first two years of curriculum were aligned, where possible, to coincidewith a cost effective software bundle. For incoming freshmen, this management of coursestructure, software concerns and library benefits assisted in considerable financial savings.ProgressPositiveIn the current and initial year of implementation, the laptop program has fostered quite favorableresults. Student morale, reflected in course evaluations where laptop instruction occurred
PLCs in action,and identification of a book or software publisher to aid with full-scale dissemination of VirtualPLC.AcknowledgmentsThis material was supported by a National Science Foundation Course, Curriculum, andLaboratory Improvement (CCLI) grant (No. 0088873 and 0341287) and a gift from Rockwell Page 14.201.16Automation. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author and do not necessarily reflect the views of the National ScienceFoundation or Rockwell Automation.Bibliography1. Bureau of the Census, Statistical brief: advanced manufacturing technology SB-13-90, U.S. Department
include continued development of web-based problem-solving environmentsfor automated system design, implementation of automated cognitive task analysis within theseenvironments to facilitate continued research on design problem-solving, and development of anundergraduate-level system integration course.AcknowledgementsThis material was supported by a National Science Foundation grant no. 0238269. Any opinions,findings, and conclusions or recommendations expressed in this material are those of the authorand do not necessarily reflect the views of the National Science Foundation.Bibliography1. Hsieh, S. "Automated Manufacturing System Integration Education: Current Status and Future Directions," Proceedings of 2005 ASEE Annual Conference
complete increasingly more difficult assignments with lesssupervision. The experts in the field model the characteristics of an engineer in industry,not the characteristics of an engineering professor, so the student can observe and attemptto mimic these behaviors until she gains mastery. Because the co-op student is still astudent and not a full-fledged engineer, she has more flexibility to experiment withdifferent methodologies to accomplish tasks, and through reflection she can construct theknowledge of what works and what does not. Through this experience she understandsand builds a framework about what it takes to be successful.Significantly, however, current research suggests that the experiential learning providedin a co-op experience is
Foundation Grant No. REC-0337629 (now DRL- 0729596) and EEC-0646441, funding the Multiple-Institution Database forInvestigating Engineering Longitudinal Development (MIDFIELD, a collaboration of ninepartner universities) and a collaborative NSF Gender in Science and Engineering Research Grant(0734085 & 0734062). The opinions expressed in this article are those of the authors and do not Page 14.675.8necessarily reflect the views of the National Science Foundation. 6References1 Astin, A. W., and Astin, H. S., (1992) Undergraduate science education
to the crib sheet in between test periods.The following tables illustrate the overall exam performance by the students, wherein fall 2008scores reflect the longer examination period. In addition to the two-day exam period, studentswere given the opportunity to earn redemption points through the completion of an on-lineassessment. The details of the assessment will be discussed later in the paper. It should be notedthat the data in Tables 2 and 3 are raw figures without any type of redemption or assessmentpoints added to the score. This was done to examine the effect of the longer exam time. Table 2: Thermodynamics Exam Performance without Resurrection Points Semester Exam 1: Thermo Exam 2: Thermo
assignments.The challenge in teaching mechanical systems (Plumbing, Heating, Air Conditioning, HydronicSystems, Utilities, etc.) is that major components are hidden underground or in the wall. Studentshave difficulty visualizing areas that are not the exposed portion of mechanical systems in theirdaily lives. Exams currently given in this class reflect that the students miss questions related tothe areas of the system that they cannot touch. In addition, they do not have as much interest inthe subject matter because they have not had the opportunity to touch it and look at all of themoving parts. By defining student outcomes the comprehension and improvement of studentslearning will develop and improve.5. Develop evaluation model for continuous
student may havevarious learning styles and most people have many learning styles. McKeachie15 reflected thattoo many teachers think of students as a featureless mass; too many rarely vary their teachingmethods, thinking that the method by which they were taught is best for everyone. However,learning styles are preferences and habits of learning that have been learned and that everyone iscapable of going beyond the particular style preferred at the time. Also learning styles do notmake as much difference as the student’s prior knowledge, intelligence, and motivation and thatthese characteristics are learnable. So it is important for both teachers and students to realize thatlearners always encounter many situations that are not adapted to their
opened to the problems at the end of the chapter: In this study, you will be asked to solve two statics problems from this chapter in your textbook. Take a moment to page through the chapter to confirm that you have Page 14.982.7 covered this material. Each problem will be presented on a sheet of paper. Extra paper is available if you need it. Solve the problem as you normally would. But try to neatly show your work. As you are solving these problems, say out loud what you are thinking. The more thoughts you verbalize, the better. Whatever you say should simply reflect what is going through your mind while solving the problem. If
responses toQuestion 3, which asked participants to choose the solution they deemed best from among thealternatives they listed in response to Question 2. Question 3 also asked for solution evaluation,so we expected that it would be more likely than the other questions to make design rationalemore visible. This was the main reason we focused this initial examination for evidence of lifecycle consideration on Question 3 responses.The Question 3 responses were coded using a scheme that reflects a simplified version of lifecycle. Our life cycle model parallels established models (e.g., the Environmental ProtectionAgency’s1) and recognizes the following stages or processes: design, construction, normaloperation, maintenance/modification, and disposal