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Displaying results 331 - 360 of 606 in total
Collection
1999 Annual Conference
Authors
Darrell C. Schroder; Charles D. Turner
classifications that allowthe criteria to be used for individual course analysis and comparison with other courses in thecurriculum. The classifications are (1) engineering analysis, (2) engineering design, (3) socialresponsibility, and (4) communication skills. These classifications are used to analyze theperformance of an Introduction to Environmental Engineering (IEE) course with and without alaboratory for meeting ABET 2000 criteria. The use of four classifications allows the use ofgraphical techniques such as radar analysis to compare performance using various courseoptions.I. BackgroundThe University of Texas at El Paso College of Engineering’s ABET 2000 Committee ispreparing for their scheduled 2001 visit. The authors are members of this committee
Collection
1999 Annual Conference
Authors
Leonard Gold
organization of this unit is often treated as a singledepartment and is determined by the size of the student body and the number of faculty in eacharea. This type of unit is rarely seen in Engineering and involves management of variousdisciplines by people not experienced in those disciplines. This leads to many students and facultynot being well served within their area of study or expertise.The disciplinary content of these units is discussed along with the types of managerialorganizations being utilized. Pros and cons of the various organizational structures are discussedalong with correspondence to program size. Finally, some comments will be offered to helpalleviate some of these problems.1. IntroductionHistorically, Engineering Technology units
Collection
1999 Annual Conference
Authors
Ismail Orabi
methodology elective. The course introduces future engineers as well as non-engineeringstudents to various disciplines of engineering, the fundamental concepts of design, representationof technical data and theoretical concepts. This course is conducted as a lecture course withseveral computer simulations as well as virtual and hands-on projects assigned throughout thesemester.ABET’s new assessment criteria require faculty to demonstrate that the graduates are Page 4.409.1acquiring the necessary knowledge and skills, and, where deficiencies exist, they are beingcorrected [1-5]. This led the faculty to assess the course and to measure the knowledge
Collection
1999 Annual Conference
Authors
Zenaida O. Keil; Robert P. Hesketh; James A. Newell; Stephanie Farrell; C. Stewart Slater
beer. Malted Barley Beer Mash Fermentation Tun Boiling Vessel Kettle Wort Wort Heat Exchanger Figure 1: Schematic representation of the brewing process showing the major process stepsThe project structureThe project is divided into three phases: design and building, implementation, and evaluation.The
Collection
1999 Annual Conference
Authors
John Barrett Crittenden
Mondays through Thursdays of five consecutive weeks. The finalgrade was based on the following categories: Quizzes - 60% Design Graphics Project - 15% (a team project) Page 4.51.1 Final Examination - 25%A typical class sequence was as follows: New homework assigned (1 minute) Discussion of the previous day’s quiz (up to 5 minutes) Discussion of the previous night’s homework (up to 15 minutes) Discussion of older material (up to 5 minutes) Coverage of new material (35 or more minutes) Meaningful quiz
Collection
1999 Annual Conference
Authors
Rudy Wojtecki; Charles P. Wentz
Session 1664 THE BEST OF BOTH WORLDS: A NEW LOOK AT COOPERATIVE EDUCATION Charles P. Wentz, Rudy Wojtecki Kent State University Trumbull CampusIntroduction $Probably no social partnership holds more potential for both immediate and long-term impact on America s future . . . than the budding cooperation between schools and some businesses . . . #1 $Norman Augustine, Chairman and CEO of Martin Marietta Corporation, !suggested that with the end of the Cold War, engineering education needed a new set of guiding principles and that !engineers now
Collection
1999 Annual Conference
Authors
David Alexander; Ronald Smelser
the University or educational center while under direct supervision.Because each laboratory is different, some experiments are performed entirely over the Internet,while others have major hands-on components. Table 1 identifies each laboratory and details thecorresponding components.The Distance-Lab components involve either a computer simulation or an online instrumentationexercise. Simulations were developed using Working Model software. Working Model isengineering software that simulates dynamic events. A simulated tensile test experiment wasused courtesy of the Integrated Teaching and Learning Laboratory (ITLL) at the University ofColorado at Boulder. The online instrumentation laboratory involved remotely controlling a
Collection
1999 Annual Conference
Authors
Amir Salehpour; Vijay Subramanian
is half done. Since we had a good start, we were both eager to seeit succeed. In the 11 weeks of the quarter, we worked closely, covering each and every topic wewanted to cover.As for the teaching part, I attended several classes during the quarter. At the end of each class,we sat down and discussed minor details of teaching. I learned about the various things that goon in the background when a professor teaches a class. For one, he has to prepare for about 1-2hours for every hour of teaching. This is once he has the material available. If that is not the case,extra effort and commitment is expected from the faculty member. He has to make sure that theclasses go in rhythm, and the information is imparted to the student in the right way
Collection
1999 Annual Conference
Authors
Julie A. Phillips; Dewey A. Swanson
PurdueUniversity. The existence of these campuses throughout the state, depend on this workingrelationship with local business and industry.Purdue University School of Technology, Columbus Campus, in continually developing ways topartner with local business/industry for continued technology education and development. Thispaper will detail some of these partnerships including:1) Technology in Action Days is a new program developed to give high school students a chance to explore degree programs in technology at a local firm.2) The Mechanical Engineering Technology (MET) Department is partnering with a local Fortune 500 firm to train students in their apprentice program.3) A Quality Course offered by the Organizational Leadership and Technology
Collection
1999 Annual Conference
Authors
E. J. Mastascusa; Brian Holt
. Figure 1 There are other pedagogical aspects to the lessons. As we noted earlier, thismaterial is rich in pictorial and graphical content. That presents many opportunities toget the students involved in ways that increase the number of senses they use. There is abody of research that indicates that a lecture that involves only lecturing (hearing) is notas effective – in the sense that material is not as well retained – as a lecture that involvesuse of lecturing (hearing) and any sort of visual aids (seeing). For maximum retention,having the students use their hands (pencils?) to calculate answers or to sketch a part or agraphical example, etc., will greatly improve learning retention. In these lessons, there a numerous ways that
Collection
1999 Annual Conference
Authors
Edward Gehringer
single individual to review. It forces studentsto learn to write clearly for their peers, since their grade depends upon it. It can be used togenerate problems for future homework and tests, by assigning students to make up a probleminvolving the course material. It can be used to generate resources for students in a course, asstudents can be assigned to browse the Web for further material related to each lecture. Itpromises a scalable solution to managing large courses, because the work of the course staffincreases less than linearly with the number of students.1. IntroductionAs technology marches onward toward the 21 st century, the rapidity of change forces educatorsto revise their curricula frequently, while high-tech industry seeks
Collection
1999 Annual Conference
Authors
Deborah B. Kaufman; Hugh Fuller; Richard M. Felder
concerns. Individuals could give themselves higher ratings than theydeserve; team members could agree to give everyone identical ratings to avoid conflict; andpersonal prejudices—e.g., gender or racial bias—could influence the ratings. The objective ofthis study is to assess the likelihood of these occurrences.DemographicsThe RMIT peer rating system was used in two consecutive sophomore-level chemicalengineering courses at North Carolina State University: CHE 205 (Chemical Process Principles,Fall 1997), and CHE 225 (Chemical Process Systems, Spring 1998). Table 1 reportsdemographic data for the students in each course. Table 1 Demographic Data
Collection
1999 Annual Conference
Authors
Barbara Olds; Ronald Miller
. • Test the rubric on student work (preferably using double blind-scoring to evaluate the instrument’s reliability.) • Revise the rubric language until inter-rater reliability meets faculty expectations. Page 4.417.5Based on a review of many rubrics, we initially developed a scoring rubric with three levels ofarticulated performance: 1) “exceeds standards,” 2) “meets standards,” and 3) “does not meetstandards.” We then drafted language describing student work at each of these levels for each ofthe three objectives being assessed. However, when we used the draft rubric to score studentreports, we quickly found that three scoring
Collection
1999 Annual Conference
Authors
Roger Ferguson; Lisa Anneberg
Allendale, MI USA ferguson@csis.gvsu.eduABSTRACTThe Personal Software Process (PSP) was designed to help Software Engineers producehigh quality software [1]. PSP helps in the estimating, planning, development ofsoftware systems. PSP shows the Software Engineer how to track performance againstother related software systems, and most importantly, it shows the engineer that PSP canguide their work so they can produce quality software. As of today, only experiencedpractitioners of Software Engineering have used PSP. However, the rigor of PSP shouldhelp novice engineers better manage their time as they design, develop, test and maintainprojects. This paper reports the results of a four month study conduct by the
Collection
1999 Annual Conference
Authors
Charles Roth
Session 2230 The Personalized System of Instruction -- 1962 to 1998 Charles H. Roth The University of Texas at AustinAbstractThis paper describes the Personalized System of Instruction (PSI) that was originally proposedby Fred Keller in the '60s. The history of the method, evaluation of PSI, development of PSIcourses, problems with PSI, and recent developments are described.Basics of PSIThe basic characteristics of the Personalized System of Instruction (PSI) 1,2, also known as theKeller Plan, are: 1. A student is permitted to pace himself through the course at a rate
Collection
1999 Annual Conference
Authors
Charles W. Green; John Krupczak
interest the students.Excerpts from the beginning course questionnaire are included in Figure 1.Interest in Science.1. Think about the kind of science course that would interest you enough to take it as an elective. Whatwould it be like? What would its topic be? How would you spend time in class? Would there be a lab? If so, what would it be like? What other features would the course have?2. Now think about specific things related to science and technology about which you are just naturallycurious. What things would you like to know that would be interesting or useful to you? What scienceand technology questions “pop into your head” as you go about your daily business?Figure 1: Excepts from the Beginning-of
Collection
1999 Annual Conference
Authors
S. Mouring; S. Brown; P. Mead; M. Natishan; I. Goswami; C. Lathan; Linda Schmidt
their colleagues.Here we report the findings of our student focus group sessions on type and amount of teamtraining students get before working in a project and their perceptions of differences in teammember behavior that fall along gender, ethnic, or learning styles lines. We also present the firstdata from two student focus groups conducted after the BESTEAMS pilot team training wasdone in the course.1. The BESTEAMS Project: Building Student Team EffectivenessBESTEAMS stands for Building Engineering Student Team Effectiveness and ManagementSystems. The BESTEAMS Partners are: BESTEAMS Partners are The Catholic University ofAmerica (CUA), Morgan State University (MSU), the United States Naval Academy (USNA)and the University of Maryland (UM
Collection
1999 Annual Conference
Authors
Said Shakerin; Daniel Jensen
analysis plays a significant role in the design of parts and structures that must carryload. With the proper knowledge and tools, a designer identifies areas with high stresses Page 4.419.1(i.e., potential failure points), as well as areas with low stresses (i.e., potential for materialremoval, weight reduction, and cost saving). A mechanical engineer should haveexperience with the most commonly used tools of stress analysis. A summary oftheattributes of the three most commonly used stress analysis methods, outside of the textbook analytical equations, is presented below [1]. METHOD ADVANTAGE
Collection
1999 Annual Conference
Authors
Elizabeth A. Parry; Laura Bottomley
Collection
1999 Annual Conference
Authors
Terry Martin
is given below in Figure 1. During Week 1 through Week 4, the structure andoperation of a PLC is presented in a class/laboratory setting. The students are setting at a PLCworkstation and the instructor is presenting material via overhead projection. As each instructionis presented, the students are able to do small exercises at that time utilizing the instruction tobetter understand the instruction. Also, during these weeks the students are working on several Page 4.420.1small homework types of problems outside of the scheduled laboratory time. Class Schedule Week 1 PLC
Collection
1999 Annual Conference
Authors
Cameron Wright; Michael Morrow; Thad Welch
of the pole/zero plot remains a mystery to many of our students. The ability to predictthe effect of pole/zero location on either the magnitude or phase plot can be significantly enhancedusing computer software. Software programs already exist that allow a student to calculate themagnitude and phase response associated with the arbitrary placement or movement of real andcomplex poles/zeros upon the complex plane. Unfortunately, these programs all have significantlimitations.2. DiscussionOur program adds several features that are either totally unavailable, or only partially available fromthese other programs. Specifically, we use the familiar MATLAB® environment to add a graphicaluser interface (GUI), see Fig. 1, that allows for easy
Collection
1999 Annual Conference
Authors
Mary K. Handley
Aviation. The survey instrument was developed by Bonwell and Fleming atSt. Louis College of Pharmacology1 to differentiate four learning preferences or styles (Table. 1). Table 1. VARK Learning Styles Categories Visual (V): This preference includes the depiction of information in charts, Page 4.422.3 graphs, flow charts, and other devices that instructors use to represent what could have been represented in words. Aural (A): this perceptual mode describes a preference for information that is “heard”. Students with this modality report that they learn best from lectures, tutorials, and talking to
Collection
1999 Annual Conference
Authors
James Kang; HonShing Wu; Shy-Shenq P. Liou; Peter Leung; Hans Soelaeman
is to present studentswith different viable engineering solutions for a given specification. Take a constant speedconveyor belt industrial application as an example: A DC motor can be used to configure asystem that can meet the specification. To achieve the objective of the speed control, either aPulse Width Modulated full bridge DC to DC converter [1] or a controlled rectifier circuit can beused to drive the DC motor. By choosing different circuits, students need to understand whatother peripherals associated with the chosen circuits are needed in order to make the whole Page 4.423.1system work. With this type of training, we try to plant a
Collection
1999 Annual Conference
Authors
Larry Thompson
Page 4.424.5realistic understanding of the implemented product's capabilities.A. Public services input into the decision making processThe responsibility for "selling" the database to the public, as well as the task of explaining why aparticular database was chosen falls on the shoulders of public services. They will also be thegroup using the database on a daily basis after the choice is made. Because of this, the decisionmaking process should rely heavily on their input. There are a number of areas that they shouldexamine.1. Search software (searchware)The searchware is the make or break component of a database. Other issues are important, but ifthe searchware is unintuitive or difficult, both librarians and patrons will be less likely to
Collection
1999 Annual Conference
Authors
Hai-Shuan Lam; Kurt C. Gramoll
compression methods are compared. Page 4.425.4 Analog Video Digital Video (pixels) (pixels) Netshow Encoder 320 x 240 336 x 224 Vivo Active Producer* 320 x 240 342 x 228 Apple QuickTime 360 x 240 360 x 240 Real Publisher 320 x 240 360 x 240 *The movie size is not necessary divisible by 16. Table 1. Movie sizes for different compression softwareThe other settings for the movies that effect the data rate include
Collection
1999 Annual Conference
Authors
Gary Patterson
traditional and well established model for its curriculum, maintainedwell equipped laboratories, and was well funded, the preparation was aimed at showing theevaluator that those things were true. Preparation could be accomplished in a spring and asummer. For Criteria 2000, however, some non-traditional expectations have been added whichmake the preparation for a visit a bit more demanding. That preparation may now require severalyears and should be considered to be a continuous process. Preparation for the visit falls into seven broad categories:1. Formulate and publish educational objectives.2. Implement assessment methods to measure how well objectives are met.3. Revise curricular, administrative, and other processes so that
Collection
1999 Annual Conference
Authors
Thomas C. Owens; Steven P. K. Sternberg; Rashid A. Hasan; John J. Erjavec; Heidi L. Newell; James A. Newell
Session 3513 A Process for Developing and Implementing an Assessment Plan in Chemical Engineering DepartmentsJames A. Newell1 , Heidi L. Newell1, Thomas C. Owens2, John J. Erjavec2, Rashid A. Hasan2, and Steven P. K. Sternberg2 1 College of Engineering, Rowan University/ 2Department of Chemical Engineering University of North DakotaI. IntroductionThe assessment requirements imposed by the new ABET Engineering Criteria 2000 [1]initially appear daunting. Even the terminology is initially confusing. Compounding thechallenge is that engineering faculty typically lack experience in conducting
Collection
1999 Annual Conference
Authors
John G. Webster
Collection
1999 Annual Conference
Authors
Matthew Dettman
. This paper will present the results ofthis study and suggestions to enhance the concept of professors as practitioners. Thequestionnaire was also distributed to a Civil Engineering program to determine the difference inperception of this concept in an Engineering Technology program and an Engineering program.1. IntroductionWithout exception, every engineering education conference I have attended has had significantdiscussion regarding the involvement of practitioners in the classroom and involving professorsin professional practice. The conference that stands out specifically was the 1995 ASCE CivilEngineering Education Conference. This particular conference is not held annually, but ratherevery five years or so. The goal of this conference is
Collection
1999 Annual Conference
Authors
Lawrence Genalo
Session 1364 A Project-Based Approach to DOE in Materials Lawrence J. Genalo Iowa State University1. Introduction At Iowa State University, the Materials Science and Engineering Departmentteaches a course in the statistics of materials. Approximately one third of this two creditcourse is devoted to the design of experiments (DOE). A relatively brief introduction tothe theory of DOE sets the stage for the inclusion of a software package used to assistmaterials engineers to design and analyze the results of experiments. Texts for engineering statistics (1-3) contain chapters