discharges of Illinois streams, the Illinois Stream Flow Assessment Model (ILSAM), and data management tools for water sampling data (IDAPP).Jeffery Ballweber, Colorado State University Page 14.1358.1 Mr. Jeff Ballweber is currently employed in the Department of Agricultural and Resource Economics at Colorado State University as a Community Development Specialist. Jeff received B.S. degrees in Philosophy and Political Science from Oregon State University in 1987 and a J.D. from the University of Oregon School of Law in December 1990. From March 1993 through August 2007 Jeff directed
), learning resourcesand assessment activities. Each VE focuses on a particular task and is comprised of suchcomponents as highly interactive main and auxiliary Java and Flash-based simulations, specificlearning objectives, experiment description, step-by-step instructions for students, worksheets,embedded assessments, technical manuals, built-in lessons to facilitate “just-in-time (JIT)”learning, and other resources. An easy-to-use authoring tool that enables instructors with noprogramming or scripting experience to produce effective and pedagogically sound interactive virtualactivities is also available.Hybrid virtual and hands-on activities enable students to learn with deep understanding anddiscover the connections between scientific theory and
University of Washington,” Proc. of the 2005 ASEE Annual Conference & Exposition.2 Chesler, N. C. & M. A. Chesler, “Gender-Informed Mentoring Strategies for Women Engineering Scholars; OnEstablishing a Caring Community,” Journal of Engineering Education, January 2002.3 Limbert, C. A., “Chrysalis, A Peer Mentoring Group for Faculty & Staff Women,” NWSA Journal, 7(2), 1995, 86-99.4 Chandler, C., “Mentoring and Women in Academia: Reevaluating the Traditional Model,” NWSA Journal, 8(3),1996, 79-100.5 Haring, M. J., “The Case for a Conceptual Base Minority Mentoring Programs,” Peabody Journal of Education,74(2), 1999, 5-14.6 Wasburn, M. H. & J. M. LaLopa, “Assessing a Big Ten University’s Faculty Mentoring Network Program,” Proc.of the
skills were assessed using skill-based coding schemes and a content-basedcoding scheme. A sketching importance lesson was given to students of one capstone designcourse section and results in their sketching of project concepts were analyzed and compare to acontrol group made up of another section. The sketching importance lesson focused on the valueof sketching for design not on how to sketch. A significant finding was that the sketchingimportance lesson changed the type of sketches produced; the number of sketches produced bythe students (a reduction), and increased the number of details within sketches.Key Words: sketching, cognition, engineering education, design documentation1.0 IntroductionA survey of the panorama of mechanical
; e-mail: gmn3@pitt.edu.Harvey Wolfe, University of Pittsburgh Harvey Wolfe is the William Kepler Whiteford Professor of Industrial Engineering at the University of Pittsburgh. After many years working in the area of applying operations research methods to the health field, he is now active in the development of models for assessing engineering education. He is a co-author of Engineering Ethics: Balancing Cost Schedule and Risk - Lessons Learned from the Space Shuttle (Cambridge University Press, 1997). He holds the B.E.S. in Industrial Engineering, M.S.E. in Operations Research, and Ph.D. in Operations Research (Johns Hopkins University).Mary Besterfield-Sacre, University of Pittsburgh
ofvarious factors can be determined using some simple geometry. We then used the sizes ofthese effects and the linear model to explain both average and individual observations froman experiment. This allows a discussion of random errors and their inclusion in a linearmodel. The nature of these errors and the fact that they arise in a random fashion leads to adiscussion of their probability distribution. The prevalence of normally distributed quantitiesis surprising here to most beginning students; this fact was illustrated, connected to the linearmodel, and a visual method for assessing normality, a normal plot of data, was given. We have now established many statistical ideas without the burden of a formal statisticalstructure. This has
publications such as ASCEmagazine. ET provides information on a variety of topics. As an example, a recent issue included thefollowing topics: * PE Design Rights * Licensure System Changes * NAFTA Accord * Legal Comer * You be the Judge * What Do YOU Think * Viewpoint - Cross-Border Licensing * Focus: Project Management * ABET Assessment Criteria * The Engineer’s editor A very good topic for discussion is a controversial issue such as the long-runnin g debate onContinuing Education. A controversial topic attracts a number of pro and con letters to the editor and pointsout to students that even professionals have differences of
teams is used to design plastic parts that meet customer requirements including cost. While theseteams use a variety of tools, there is a lack of cost prediction software packages for plastic parts. This paperdiscusses the development of an engineering economic model for injection molding.Design for Cost/Affordability in Engineering Design For engineering design teams to be effective they should continually assess cost tradeoffs and then usethis information to constantly improve the cost estimates as they progress from feasibility to the final design.Initial estimates developed in the conceptual design phase are updated during the definition and scopingphases of the design. These design teams quickly learn what other industries already
styles. Homework assignments and tests help to assess the degree to which students learn the subject matter. The course material has been designed and developed in the form of modules to integrate properly into a well- defined framework. Each module covers a specific topic and consists of an appropriate mix of teaching and learning methods to motivate the students to learn, understand, and appreciate the material. This course is designed to cover the various activities of the manufacturing system throughout the product life cycle, from management (finance, human resource development, administration), marketing (forecasting, sales, advertisement), design and development (conceptual design, preliminary design
Session 2266 ---- Integrating Experimental Research Into An Undergraduate Heat Transfer Course Charles E. Dean, Dion J. King, Robert A. Potter, Jr. United States Military Academy ABSTRACT This paper describes the integration of a relatively complex research project into an undergraduate heattransfer course. Discussion of the project scope, techniques used to involve students, and assessment of theresults are included. The project involved high
. This paper reports on the structure of the MNE Traineeship Program and an assessment of the benefits tothe trainees, the sponsoring institution and the NCSU Department of Nuclear Engineering.MNE DEGREE AND THE TRAINEESHIP PROGRAM STRUCTURE Normally an MNE graduate student will take a total of twenty four credit hours of course work, with nineof these credit hours required to be in courses constituting a minor. Additional six credit hours are associatedwith completion of an engineering project, summing to a total of thirty credit hours for the MNE degree. Thecourse program for the MNE degree is somewhat more structured than for the MS degree. Also, admission to theMNE program requires an engineering baccalaureate degree while MS students
support history, and evaluation and assessment data. Page 1.468.2 1996 ASEE Annual Conference ProceedingsArticulation Agreements Articulation agreements serve as the cornerstone for the New Mexico AMP. These agreements betweentwo-year and four-year institutions allow students earning credit in SMET-track courses to receive the samecredit at other institutions when transferring. The articulation agreements are described in reader-friendly transferguides for students. The guides describe the courses and course equivalents which students should complete attwo-year colleges that will transfer to
in42 states. There is also an effective evaluation system that is used by all centers, frequent meetings ofcenter directors for the exchange of ideas, and management support systems to help the centers becomemore effective in their outreach. The models used in delivering technical assistance are an amalgam. Mid America MTC (Kansas) isentrepreneurial and offers fee based services in several states. The program is the most unique andsometimes controversial among the MTC’S, but clearly offers effective programs. The Mid Americaagents assess company problems, offer solutions, contract with others for the delivery of more complexservices, and collect fees for the service. Aggressive, entrepreneurial, and bottom line. The Georgia Manufacturing
” sciences. This has led to a false “recognition” of engineering as, and evenequation to, “applied science. ” That engineering activity requires much more than a mere application of scienceis suppressed. Synthesis, the essence of engineering activity and creativity, gets short-changed. In addition, the teaching of mathematics is usually done in isolation, as a relatively “pure” subject, ratherthan as a set of useful tools. Some useful tools for synthesis are thereby neglected, e.g. order-of-magnitudecalculations, error assessment and propagation, etc. Some connection to experiences is also presented in many courses, but is mainly (falsely) assumed to bereadily available from industrial practice, when graduates enter employment. It is
content, and actual data that was used. Accurate measures of training are difficult to assess. The benefits are often unknown and unknowable.Surveys of the attendees were very favorable. This is not a good measure of the class, however, because as Dr.Deming has stated, students are not a good judge of a course.9 They can only comment on the style of thepresentation, they don’t know what content has been left out or the verity of what was included. If they did theywould not need to attend the class. Significant input came, however, from those knowledgeable in the use of the quality tools. In general thisinput was very favorable, but more important was the follow-up with attendees months after the class. Theattendees were more confident
activities into concurrentengineering multi-disciplinary teams to reduce their previous cycle time (about 60 to 72 months) to 24months. GM announced a major reorganization of their R, D & E efforts last year.Examples of Predictive Metrics A good example of a predictive metric is Hewlett Packard’s use of product development “report cards”.The product development teams grade themselves at least twice during early development to assess theirprogress. The questions are all indicative of the project’s success. Both the mean and standard deviation arecalculated. If the mean and standard deviation are ranked low, this indicates problems exist and that if notfixed may result in poor performance. If the standard deviation is high on any
,&$* + b,~$, + b,JJ,+ b,, X; + b2J; + b3J; [1]Where X,, &, and ~ are the independent variables (or factors) varied in the experiments a~d @ , b , etc. arecoefficients or effects determined by regression of the data. This simple polynomial model has been found to bequite adequate for the majority of practical problems. The use of an experimental design assures that enough datais collected to assess the statistical significance of each term in the model so that the “best” model of the data canbe determined. By “best” we mean the simplest model that adequately describes the response surface. The finalmodel (with only statistically significant effects) can then be used to draw whatever conclusions are warranted
educator-reviewers are grouped into panels according to theirexpertise. Therefore, engineers judge proposals for engineering laboratories, chemists judge chemistry-relatedproposals, and so on. The panels assess each of 15 to 20 proposals according to the:• merit of its basic premise. Is the proposed project of high quality? Does it reflect currency in its field? Will it genuinely promote education in that field?• capability of the investigators and the host institution. Do the investigators have the knowledge, time, and will to carry this project through to completion. Does the institution have the required support structure and will its administration adequately support the investigators?• utility of the project to the institution
educator-reviewers are grouped into panels according to theirexpertise. Therefore, engineers judge proposals for engineering laboratories, chemists judge chemistry-relatedproposals, and so on. The panels assess each of 15 to 20 proposals according to the:• merit of its basic premise. Is the proposed project of high quality? Does it reflect currency in its field? Will it genuinely promote education in that field?• capability of the investigators and the host institution. Do the investigators have the knowledge, time, and will to carry this project through to completion. Does the institution have the required support structure and will its administration adequately support the investigators?• utility of the project to the institution
. Plan and design experiments3. Develop and implement experimental procedures4. Implement measurement and data collection techniques5. Use modeling procedures to validate existing or expected results6. Document experimental work7. Report findings in writing or orallyEvaluation of ET Program The ET program will be using the SME certification exam as one of the several assessment valuation tool to evaluate the program. In addition, the level of students competency and performance in the capstone course can also be used as part of the overall evaluation of the program. Page 2.407.5
. Breakdowns of Types of Jobs Graduates currently have CONCLUSION Due to a large diversity in job types after graduating, it can be very difficult to assess whichcourses will be most relevant in their first job. While the response rate to this survey was only13%, there are certain trends that are worthwhile exploring for future curriculum changes. One of these changes is an expansion in offering “soft skills” courses, such as management,planning, goal setting, financial and project management. This interest comes from respondent’sneeds in both their first job after graduating as well as in their current positions. This interest inthese types of courses can be related to the types of jobs that EET
semesterclasses. Our program does not have a required engineering course until the spring semester ofthe freshman year so this is the first opportunity for our students to work together on anengineering activity.This paper addresses the competition rules and scoring formula along with our rationale for eachto facilitate transferability to others that are planning design competitions. We developed aformula to rate the student designs that incorporates scores from each of the four elements of oursustainable design philosophy. This formula and the underlying rationale are included in orderto assist others who wish to assess student work using sustainable design criteria. We alsopresent the competition results in order to share which aspects of the
ConceptsThe students’ learning of the three key concepts involved in the Build IT curriculum—gears,buoyancy, and electricity—were assessed through pre- and post-tests for each concept. Sinceonly a few teachers used the electricity tests, they will not be analyzed here.In general, although the high school students did somewhat better on the gears pre-test than themiddle school students, neither group did well (mean score for all middle school classes of 1.72out of 4 compared to mean score for all high school classes of 2.11). However, there was nocorrelation between the pre-test scores and the SES of the students’ schools, for either middleschool (r = .169) or high school (r = .148).The mean class scores increased by almost 40 percent from pre-test to
rented from a commercial supplierEvaluationIn addition to assessment of topic-specific content knowledge, several scales of the MotivatedStrategies for Learning Questionnaire—MSLQ [11] will be used with each activity. Specifically,data will be collected using these scales:• Intrinsic Motivation: Intrinsic motivation measures the extent to which students are inspired to learn because of curiosity about the topic, or the joy that comes from understanding complex material.• Extrinsic Motivation: Extrinsic motivation measures the extent to which students are inspired to learn because of rewards such as grades.• Task Value: Task value measures the extent to which students feel that what they are learning is relevant, useful and
variable demographics across the three years of the course and differences in theassignment may confound interpretation of the results to determine cognitive diversity impacts.The class size varied from 29 to 59 students, with 34 to 54% females, 48 to 71% declared EVENmajors, and 55 to 76% first-year students. The strongest predictor of team performance was theaverage overall grades of the students on the team. More data is needed to determine if cognitivediversity or its lack has a real impact on the performance of engineering teams conductingcomparative assessments. Cognitive diversity may be more important for teams working on fulldesign projects. Further research is needed to explore these ideas.BackgroundThe ability to work effectively in
. Assess and evaluate water quality. 7. Apply principles of epidemiology to the design of an evaluation plan for a water and Page 14.943.5 sanitation project 4 8. Articulate social justice issues associated with health and health interventions in emerging nations. 9. Prepare and implement health and engineering content for Benin junior high and high school students in English 10. Articulate basic principles of second language acquisition as they apply to Benin educational contexts.Course designBased on these course
Wave Power: 2.23 kW Page 11.427.7 OWC Efficiency: 0.17 %A summary of the projects used in the class is for the first two offerings is provided below. Allproject materials may be found at the course web site: http://www.egr.msu.edu/~somerton/AEnergy/Project: Politics/Economics of Conversion to Alternative EnergySemester: Spring 2004, Spring 2005Summary: Identify a municipality with which the student is familiar and develop a proposal forthe conversion to an alternative/renewable energy. The proposal should include: • a current assessment of the energy consumption for the municipality
experiences to online and place boundstudents. The WebLab system is unique in that it not only provides access to remote equipment,but is an educational system with aspects such as instructional design based objectives, pre- andpost-assessment, scheduling, and lecturing built into the system at the core level. Furthermore,the equipment access portion of the system is built around industry standard instrumentation andprocess control equipment and communication. This allows laboratories to be built andcontrolled using off-the-shelf equipment from multiple vendors. While educational use ofsupervisory control and data acquisition (SCADA) systems is relatively new, the technology hasbeen used for decades in the Energy, Automotive, and Food Processing
for ASCE and other professional organizations such as the American Society for Engineering Education (ASEE). Currently, the committee is also compiling a bibliography of all published articles and reports related to education reform and “Raising the Bar.”• Currently, there are 25 universities that are assessing their curricula relative to the BOK. The committee has worked to assess how much of the BOK is covered in these 25 participating partner schools. This task—called program mapping—began in November 2003 and is expected to be completed in December 2005. Western Michigan University is actually implementing the BOK in its new undergraduate Civil Engineering degree program, as well as refocusing its graduate degree
, the school name, the teacher’s name, and a phone number. • Chemicals must be brought to the competition table immediately upon arrival and stored there until the team leaves. • Appropriate gloves and safety goggles must be worn during the setup, operation, and takedown of the entry. Page 11.13.3The judges have the final decision on whether the safety precautions have been followed.Designs that are deemed unsafe are disqualified from the competition.The students are required to submit Design Documentation, as shown in Figure 3, with theirentry. The design documentation is partly for the judges to assess the safety of the design