Page 25.1351.8surprising that students in any semester do not have knowledge of the outcome coming in toEELE 201.Two-sample t-tests comparing the Fall 2011 student responses on the pre-survey to the responseson the post-survey produced significant results (post-survey responses being higher) for alloutcomes questions of interest (p < .05).All pre- and post- survey results (average survey responses) are shown in Table III below: Table III. Pre- and Post-Survey Results (Means) for Fall 2010 and Fall 2011 Learning Outcomes of InterestLearning Outcome: Please complete the followinganonymous survey by selecting the statement thatbest reflects your current knowledge in a given area. 1 = Strongly Disagree 2
overcoming potential economic, educational andcultural obstacles to implementation and suggests ways in which the technologies developed bythe team can be successfully adopted in rural Africa.The challenging project requirements are observed to increase the efforts expended and overalltime spent by the team members on the project. The greater effort required from students isbelieved to reflect a greater student interest in the successful completion of the project andappears to improve the student learning outcomes related to sustainability.1 IntroductionThere is a growing understanding that the solutions to the significant problems facing societyrequire that a systematic evaluation of the many dimensions of a problem be undertaken beforeacting
. Whenever numerical answers are required, find the exact values using a calculator. A certain amount of collaboration is acceptable in doing this project, but reports must be written individually. Thus, when writing your report, make sure that it is clearly different from reports of others and reflects your own thoughts for solving the problems. Reports that are virtually identical to others will not receive credit.In project 1, students are asked to use their knowledge of solving first-order ordinary differentialequations to tackle basic ideas in rocket science through the examination of the Jules Vernecatapult idea and single-stage rockets. The second project explores ideas in mechanicalvibrations with the concept of
contact (tapping mode) to avoid damage to the samples.Video data requires significantly more storage density and in order to accommodate the data, the pit Page 25.1465.8and land sizes must be shrunk to smaller values. The spacing between tracks, width of tracks, theirdepth and reflectance vary according to the type of disc. Measuring the physical characteristicsof the disc can help calculate the storage capacity of the disc. The smallest features of the DVDs arepits about 400 nm long, 320 nm wide, 120 nm deep, with a track pitch of 740 nm. BluRay DVDplayers provide high definition video for HDTV, requiring more data density. On Blu-ray the
science andtechnology, and see no difference between a scientist and an engineer10,12,18. Existence ofengineer’s image in the film has been acknowledged25, but not studied thoroughly, except for agender-specific focus. While creating a learning environment that educates about engineering and engineers ingeneral, it is also important to leverage and apply the most recent theories of learning. Learningis viewed as an active process where students process, organize and reflect upon their personalideas in the development of knowledge and meaning. Current models of science learningembrace the paradigm of constructivism, where students learn by constructing personalrepresentations of knowledge instead in the idea that knowledge can be transmitted
short questionnairewas administered to the students. The questionnaire had 3 questions: 1. Do you feel you were interacting with real hardware? 2. Is the laboratory interesting or worthwhile? 3. Does this interface correctly reflect what you would have done in a real lab?Table 1 shows the results of the post-experiment activities. The results in Table 1 suggests thathaving performed the AM iLab experiment using interface A, users had a better understanding ofwhat amplitude modulation entails. The interface aided their understanding by walking themthrough the step wise process in creating an AM signal. This was made possible because everywire connection was an integral part of the AM block diagram and it helped the user visualize
diagrams. The current results also reflect earlier findings from58, in which the AA conditionperformed significantly better than the CC condition. Overall, these results support the notionthat abstract representations foster learning through allowing learners to focus on the underlyingstructure of the problem at hand, rather than the superficial elements of each individual problem.Thus, these learners do not observe worked-example problems considering, for example, abattery and a light bulb, rather noting that any type of voltage source and any type of electricaldevice could be present. Since these college students, although novices to electric circuitanalysis, have the requisite experience to know what objects can serve as electrical
often integrated throughoutengineering education curricula.Practicing engineering in a community context, partnered with a strong emphasis on teamworkand reflection, project-based service-learning (PBSL) programs are potentially successfulapproaches to recruit and retain more students, including women and minority students, into thepipeline of engineering education and the engineering workforce. Unfortunately, little researchhas been reported to confirm this hypothesis. In fact, what, if any, groups of students areimpacted by service-learning experiences?The University of Colorado Boulder’s First Year Engineering Projects (FYEP) course has beenevolving over the last decade into a successful avenue for increasing the knowledge, skills
could use to transfer into the engineering (and computer science)program/s at the 4-year institution. These core courses are selected so as to reflect the first twoyears of a four- year engineering program. While this model is certainly reasonable, it does havesome major weaknesses. Many engineering schools have engineering programs in classic areassuch as civil, chemical, electrical and mechanical engineering with a number of courses, inmathematics and science, in common. However, the first two years of an engineering programcan have subtle but significant differences in course requirements that are specific to that major.If the new transfer student stays on track with their initial choice for a major, there is no problem.But, should the
comparedagainst the needs of computer engineering students as well as checked for overlap with existingcourses. From this, the initial listing of 13 course outcomes was reduced to 11 course outcomes,as is shown in Figure 5. These outcomes reflected an increased emphasis on the practicesnecessary for software engineering and a slight de-emphasis on the specific object-orientedanalysis and object-oriented design techniques from the initial offering. An increased emphasison the verification of software was added, as well as outcomes related to effectivecommunications. Based on feedback from the final offering of CS489, it was also felt that astrong emphasis in the area of requirements review and development was necessary. Catalog Description: This course
of these courses isoften similar, the content is often vastly different, reflecting the large domain of softwaresecurity. Certain aspects of security appeal to practitioners, certain aspects appeal toComputer Scientists, and certain aspects apply MIS personnel.In order to provide a holistic view of computer security, software engineering students need tohave exposure to all three aspects. Thus, for software engineering students, a single course insecurity can be inadequate. To combat this problem, the Milwaukee School of Engineering hasdeveloped a three course sequence in software security targeting the multi-disciplinary problemof security. While each of the three courses addresses software security, each course targets adifferent aspect
individual team meetings.Writing the Drilling Operations and Well Control procedures turned out to be a grueling process.The “first draft” of the well control procedures was the author’s dissertation.2 The dissertationwas written based upon the Phase I conceptual design. During Phase II many changes had to bemade to the procedures as the equipment design and testing proceeded. Not only were theprocedures modified to reflect the latest in equipment design, the equipment designs weremodified to allow the equipment to be utilized as the drilling operations and well control teamsdeemed necessary for safe and efficient operations. Page 6.906.8
ongoing engineering practice limits the likelihood that graduates willbe able to identify features of their work setting that may call for ethical reflection. We believethat an understanding of moral theory, professional concepts for ethical behavior, codes of ethics,real and hypothetical cases, and ethical problem solving kits are important components ofengineering ethics instruction. However, in order to mitigate potential threats to public safety,engineers should be able to reflect on the daily workplace and identify activities that are likely tolead to undesirable outcomes. In teaching engineering ethics, moral theory and codes of ethicsare necessary, and case studies (real and hypothetical) are valuable. However, to bring themtogether
Educationthe grade for the exercise that is ultimately recorded. The implementation step as well as thetwo grading steps are intended to provide the opportunity for students to reflect on what makesa good design.The second syllabus modification is based on teaching the need for team organization, to handlethe rapid increase in the number of communication paths as team size increases. The class willbe divided into several teams, each with a different organization. After each team performs thetask of summing a rather long list of small integers, the class will discuss their variedexperiences with problem decomposition, team organization and communication.The third syllabus modification is based on teaching the general structure of the
arm Side View Front View Figure 2. Two views of the MagLev device.The magnets are of an ultra-high field strength rare earth (NeBFe) type. A dry-lubricated guidebushing at the center of the disk slides up and down the rod. A white reflective surface coversmost of the disk. Two laser-based sensors make use of the reflective properties of the disk surfaceto measure the magnet positions. The laser beams are spread by an optical element into a fanshape and are projected onto the diffuse white surfaces of the magnets. Photodetectors view thebeams and generate voltages proportional to the amount incident beam power. The lower sensoris
favor of the hardware lab after six of the eight lab exercises, their attitudeswere reflected in their performance, but not to the same degree.IV. The Qualitative ResultsDuring the semester, there were several opportunities to discuss the different laboratoryenvironments with the students. These discussions were designed to help determine the causesof statistically significant differences between the treatments and to determine differences notuncovered by the statistical analyses. At the end of the research period, two formal focus groupdiscussions were conducted.Recorded below are highlights of the focus group dialogue. Specifically, the points listed herewere used as bases for some of the conclusions and recommendations given later
Engineering Education Annual Conference and Exposition Copyright 2001, American Society of Engineering Educationothers what you can get away with." Finally, these practices certainly do not reflect solidarityand respect for our global family.ETHICS IN THE ENGINEERING CURRICULUMAs illustrated in this paper and in the case in the appendix, day to day ethical decision making,even in engineering, does not usually involve issues typically associated only with engineering.For this reason, it is important that our students understand the concept of a universal moralcode and how such a code might apply not just to our professions and careers but also toeveryday life. This understanding typically comes at the later stages in our moral
. Apoor choice can be enormously costly to the student and to the greater society. Good advising can Page 3.381.1* The ideas and opinions expressed in this paper are solely the author’s and do not necessarily reflect the opinion of The Dow Chemical Company. 2deliver tremendous value to students and society by helping both avoid the significant financialand emotional costs associated with mistakes.A Systems ModelIn response to government regulations, international competition, and growing investorexpectations, American industry is going through tremendous change. Moreover
is in the design project or an earlier activity,students encounter Reflection questions which stretch the limits of their knowledge andchallenge them to think about what they did. For example, in Reinforced Concrete,students are asked, “Do you think that reinforcing the concrete will affect its ability toremain strong and durable over time?”,“Have your ideas changed about how toreinforce a concrete beam?” and “Can you think of another material or technique thatyou would use to improve your original design?” In answering these questions, thestudent begins to make connections with other topics which are of consideration. Thistrains the student to think beyond the obvious, to consider many aspects and to makelinkages with the bigger
experience.This questionnaire has been designed to assess the performance and products of this program. Pleaseanswer it to the best of your knowledge.Name:__________________Company:__________________Partner University:[ ] UPR-M [ ] PSU [ ] UW [ ] Other__________________Your Involvement with the program:[ ] Member of Industrial Partner Board [ ] Expert in the classroom [ ] Involved with students projects[ ] Other__________________Instructions:The following items reflect some of the ways in which the Manufacturing Engineering Partnership (MEEP)can be described. Please fill in the numbered circle which indicates THE DEGREE TO WHICH YOUAGREE that each item is descriptive of the experiences you were exposed to and provided
[ ] Other__________________Instructions:The following items reflect some of the ways in which the Manufacturing Engineering Partnership (MEEP) can bedescribed. Please fill in the numbered circle which indicates THE DEGREE TO WHICH YOU AGREE that eachitem is descriptive of the experiences you were exposed to and provided by the program. If you have no informationor feel an item does not apply, please fill in the N/A circle.The program allowed students to practice engineering science fundamentals in the solution of real problems.[ ] Strongly Agree [ ] Agree [ ] Neutral [ ] Disagree [ ] Strongly Disagree [ ] N/AProfessional communications skills were enhanced.[ ] Strongly Agree [ ] Agree [ ] Neutral [ ] Disagree [ ] Strongly
an was free. Scott (1996) described the essential features of theobjective and absolute scale, for example, academic computer-based tutorials as follows:performance reflects the competence of a student and can be a) Students log in using a password.measured by the student’s exam marks. However, other Page 3.170.1 SOCIE AN TY
regional entities.It may also decrease the popularity of engineering and science majors and careers among incomingstudents and the pool from which to recruit research assistants.In some cases, such schools are in the shadow of flagship research institutions and are not even"supposed to" be aspiring to be research institutions; this may be reflected in the state fundingformula as well as general public perception. A misconception that high-level laboratory researchand instruction cannot be performed at such schools may develop not only in the region or statebut also in the university administration and faculty. Faculty may begin to feel that it’s not worththe effort. This is particularly prevalent with senior faculty who have attempted research
of research anddevelopment. Brief descriptions of the projects are provided, along with comments from studentevaluations. The instructor provides a reflection on these experiences, both favorable and unfavorable.1. Introduction The National Science Foundation (NSF) has been active in motivating successful researchers toreturn to the classroom so that they may share their experiences with undergraduates. The PresidentialYoung Investigator (PYI) Program, which awarded grants based solely on research prowess, has recentlyevolved into the Faculty Early Career Development (CAREER) Program, which supports junior-levelfaculty members seeking to integrate their education and research activities at the undergraduate andgraduate levels
appropriatelength of response. However, there were some general phenomena that should have beennoticed by the students and that should be reflected in their responses. The following discussionprovides some necessary background information in order to give the reader an idea of thegeneral responses that were expected:The overconsolidation ratio (OCR) is defined as the ratio of preconsolidation pressure to the insitu isotropic pressure (or initial cell pressure, in the case of a lab test). An overconsolidated soil(OCR > 1) can be considered to have previously experienced greater pressure than it doespresently and will experience less deformation under a given load than will a normallyconsolidated (NC) soil with the same initial confinement. The assignment
"fine tuning" of thisdesign cannot improve the overall rating. Thus, the "best design" generated only has a "fair"rating. This does not reflect on the efforts of the designer nor the design methodology. Indeed,the combination of desired performance levels, imposed constraints, and physical laws dictatedthis result. The original model depicted in Figure 3 was modified to reflect the design parametersin this problem. Subsequent simulation verified functional performance of the "best design".Other Suggestions for Adding Design ContentThe bungee-jumper problem as reformulated is referred to as "preliminary design analysis"because the solution has no embodiment (form). Rope length plus unstretched bungee length(Lr+Lb) and bungee-cord spring constant
than 0.4 were considered poor agreement. These ranges are consistent with current conventions for assessing interrater reliability [31]. Cohen’s Kappa was calculated for each theme in the data, using 2X2 contingency tables that evaluated how well a particular theme identified by the domain expert agreed with the theme assigned by top NLP modelling techniques classification models.ResultsIn our study sample, initial topic modeling revealed the emergence of four topics (also referred toas codes). Table 2 displays the most frequently appearing words linked with each of these fourtopics. Topic 1 reflected students’ desire for greater practice with solving problems associatedwith engineering content including but not
specificknowledge on the project's topic, reflected in increasingly technical descriptions in each of thepresentations. We have taken the metric of the number of articles as an indicator of students' pursuitof new knowledge. In describing the solutions, students included diagrams, concepts, methods,and results in their presentations, which demonstrates their engagement with the articles.Defined RequirementsOne of the most important findings of this study was the analysis of requirements. Only one groupmaintained the number of requirements, indicating that iterative design is necessary to developbetter solutions to problems. In the first iteration, three groups provided more detailedrequirements, either by adding or dividing those initially proposed in the
% DT 0.6017 -14.7% LR 0.5930 -16% NB 0.5709 -19.1%Final ModelThis study employed an artificial neural network with a specific structure to analyze andmodel a dataset (see Fig. 2). The network featured a hidden layer comprising two neurons, achoice-balancing model complexity, and efficiency. The network's target variable was“Dropout,” and all other available dataset variables were used as inputs to predict this target.This configuration allowed for an in-depth exploration of the relationships between” Dropout”and other variables. A key feature of the network was its focus on classification, reflected inits nonlinear
points, and he or she only had an error in the manipulation of the equation priorto finding those points. In graph 9 (Figure 5), all of the points are wrong and the slope is incorrect. However, if wecompare the line in the graph and the correct line for the equation, they are reflections of eachother across the x-axis. Therefore, it may be that this graph resulted from a sign error, slope andintercept are positive when they should be negative.In the case of Graph F (Figure 2), Sam hypothesized about this student’s reasoning in creatingthe graph when he was grading. Sam gave the student 7 points. The other graders only gave thepoints for the correct slope – a feature of the appearance of the graph. Daniel said, “I will onlylook at what the