administration. In the mean time, I will continue to teach these twoStrength of Materials classes (and others) with PSI methods, individually tailored learningobjectives and testing criteria, but in separate classrooms.Bibliographic InformationFor more background material on Mastery Learning and the Personalized System of Instruction, I would recommendthe following:Block, J. H. (1971). Mastery learning: Theory and practice. New York: Holt, Rinehart and Winston, Inc.Bloom, B. S. (1968). Learning for mastery. Evaluation Comment UCLA-CSEIP, 1, pp. 1-12.Carroll, J. B. (1963). A model for school learning. Teachers College Record, 64, 723-733.Keller, F. S. (1968). Good-bye teacher... Journal of Applied Behavior and Analysis, 1, 79-89.Keller, F. S., &
can lead to the sharpening of critical thinking skills. In addition, students are encouragedto make linkages between physics and their lives through the folder activities. It is my belief thatwhen students can make a connection between physics and their own lives, long-term learningand retention of material is encouraged and enhanced. BibliographyBrown, S. & Knight, P. (1994). Assessing learners in higher education. London: Keogh Page.Connolly, P. & Vilardi, T. (Eds.). (1989). Writing to learn mathematics and science. New York, NY: Teachers College Press.Countryman, J. (1992). Writing to learn mathematics: Strategies that work: K - 12. Portsmouth, NH: Heinemann Educational
team developed a Gantt Chart (Figure. 3) based on 27 steps. The chart includedall areas related to our new program development and also included items related to the approvaland implementation of the program. It was estimated that the process would start in November1995 with the creation of the MST team and culminate with the teaching of the first classes inAugust 1997. Figure 3: Timeline for MST proposal Years/Months Steps 95 1 9 9 6 1 9 9 7 N D J F M A M J JL A S O N D J F M A M J JL A S O N D1. Create MST Team
choose amentor from the list. The new faculty member is expected to take the initiative to make contactwith the mentor he or she has selected to arrange the initial meeting.The program is completely unstructured. The mentor-protégé meetings occur when and forwhatever reason(s) they agree to. In addition, the relationship continues as long as they want itto. No information is offered about the effectiveness of the program.The experiences of Assistant Professor “Albert”Albert (not his real name) left the semiconductor industry to become an academician. Thefollowing is a true account of his experiences with and without mentoring.Albert’s experience without mentoring: Albert joined an institution as the first full-timeassistant professor teaching
andsome with poor attendance, it may be necessary in future years to rearrange groups after aweek or two. The ongoing evaluation will focus our attention on further possibleimprovements for the next cohort including the possible need for more frequent tutorials orany extra training. We will also consider the appropriateness of the scheme for other subjects,7. Bibliography[1] Baillie, C.A., “First year Experience in Engineering Education - a comparative study”, to appear in TeachingScience for Technology at Tertiary level, Tornkvist, S., Ed. 1997.[2] Miller, R., ‘Connections: Integrated First year engineering education at the Colorado School of Mines’ procASEE/IEEE Frontiers in Education Conference 1995 Editors Budny, D., Herrick, R.[3] Cross, I
: Brass: S = 0.750 i n D = 0.750 in 3 3 V = 0.422 in V = 0.361 in 2 2 As = 3.357 in A, = 2.807 inFigure 1. Test sample geometries, dimensions, and thermophysical data. The experimental apparatus includes a boiling water and ice water baths, instrumentedmasses, boiling and ice water thermocouples, and a data logger
participated in the OLS Student /Faculty Survey.Twenty of the respondents are male. Faculty ages range from the early 30’s to over 50. Ten ofthe respondents are tenured faculty and the rank ranges from full professor to visiting lecturer.Courses taught range from first year college level to graduate level. Ninety one percent of therespondents report the use of teams in their classrooms. Thirty nine percent determine themembership of the teams while 43.5% allow the students to form their own teams. Thirteenpercent of the faculty likes to use teams in all cases, 73.9% like to use teams under certaincircumstances, while 8.7% of the faculty dislike the use of teams but recognize their value. There are 1,953 students in the Purdue School of
also hears the associated explanations.The tutorial was placed on a student accessible drive on the university-wide network. Instructorsprovided loading instructions to the students. Students were told instructors would be availableto answer questions only after students had viewed the tutorial. The results were quite dramatic.No class time was required to teach PSPICE operation and extra instruction provided duringinstructor office hours was reduced to a minimum. Any PC-based process can be demonstratedwith this technique. INST. BINARY HEX OPERATION ONE WORD INSTRUCTIONS NOP 0000 0 NO OPERATION NEG 0001 1 NEGATE THE ACCUMULATOR (2'S
paper are remarkably“unremarkable,” their mundane appearance belies their importance in educational interactions. Page 3.119.7Bibliographic InformationBates, A. W. (1995). Technology, open learning and distance education. London: Routledge.Garfinkel, H. (1967). Studies in ethnomethodology. New York: Prentice-Hall.Heath, C., & Luff, P. (1992). Media space and communicative asymmetries: Preliminary observations of video-mediated interaction. Human Computer Interaction, 7 (3). 315-346.Hymes, D. (1974). Foundations in sociolinguistics: An ethnographic approach. Philadelphia, PA: University ofPennsylvania Press.Mankin, D., Cohen, S. G., &
Session 2533 Building Energy Analysis Software Harry J. Sauer, Jr., Yogita Gidh University of Missouri-RollaEffective utilization and conservation of the significant energy used by building systems has been of great importin the decades following the energy crisis of the 1970's. The energy consumption of the heating, ventilating, andconditioning (HVAC) system represents a major part of the building's requirements. Software for accuratelyevaluating the performance of various types of HVAC systems and of the available energy saving options provesuseful both for the design
Multivariate Analysis of Variance Effect F DF Sig. Sex (S) 3.33 8, 575 .001 Ethnicity (E) 4.88 16, 1152 .0001 Year (Y) 1.97 24, 1731 .003 SxE 1.13 16, 1152 Ns SxY 0.79 24, 1731 Ns ExY 1.05 48, 3480 Ns SxExY 0.97 48, 3480 Ns The statistical significance of differences between the average ratings of the two genderswas tested by use of an independent t test. The results are summarized in
college students in the late 1960's . The Perry Model has a rangeof "positions" from 1 to 9, where each level represents an increasingly complex and mature level Page 3.18.2Marra/Palmer/Litzinger 2of intellectual development. Table 1 summarizes the Perry positions. College freshman tend tobe somewhere between Positions 2 and 3 on the Perry scale. This means they are stronglydualistic thinkers who tend to rely heavily on authority when making decisions. A typical entrylevel professional should be at Perry Position 6. At position 6, individuals use evidence andlogic to make
isrequired for this course. The necessary concepts are covered in standard Statics and Dynamicscourses, but often focus on problems involving individual rigid bodies. Consequently, I findmost students have difficulty applying those concepts to machine systems. One stumbling blockseems to be the fact that drive systems have multiple rigid bodies, sometimes connected byflexible elements. The students want to treat the drive system as a single rigid body. Also, theconcept of trading off speed for torque requires some learning on their part. Introduce efficiency,and some students have real difficulty.After this review/extension of the basics, I utilize the Browning Catalog (see Text(s) section -many others would be equally appropriate) to expose the
development. Previous tothis program, the major training efforts were directed towards experienced technicians seeking toupgrade their skills in advanced manufacturing technology.2.2 Motivation for the ProgramFrom the late 1970’s to the early 1990’s, the overall manufacturing situation in the southwesternPennsylvania area had been in serious decline. For the period between 1979 and 1985, over 40large industrial plants permanently ceased operations. Between 1970 and 1990, the region lost156,750 manufacturing jobs – more than half of the existing base of manufacturing jobs.[1] Theregion’s population declined to 2,597,833 from 1980 to 1990 – a loss of 183,894 people.[3]Starting in the 1990’s, regional manufacturing slowly began to improve
• Seek startup funds from your school or college. Department Heads and Deans are typically willing to give one-time funds for different things.BibliographyBerger, E. J., Diefes, H. A., Hamaker, K. H., Jones, J. D., McComb, S. A., Mulkay, E. L., and Oakes, W. C., “ASEEStudent Chapters: An Engineering Pipeline for Higher Education” ” Submitted for publication in the Journal ofEngineering Education. June 1997.Hamaker, K., Bunker, B., Oakes, W., Brazel, C., Kaya, A., Shahin, A., Banerjee, B., Takeuchi, Y., Wahl, T., andJones, J. D., “ASEE Student Chapters: An Engineering Pipeline for Higher Education” ASEE/IEEE Frontiers inEducation Conference, 1993. (Where)McComb, S. A.., Blevins, L., “Demystifying Academic Careers for Graduate
to solve such systemsof nonlinear equations, one usually resorts to simple iterative schemes in which one makes aninitial estimate for the pipe diameter, then computes the Reynolds number according to 4 Q Re d , (4.3) S dQThe Moody Chart (or, equivalently, Eq. (4.2)) can then be used to compute the correspondingfriction factor f , and a new approximation for the pipe diameter can be computed from the headloss by solving the equation 8 L Q2 hf f 5
as well as independent project work. Though LabVIEWsoftware along with National Instruments data-acquisition boards are most commonly used, othersystems such as SAGIAN Inc.'s CAMILLE system is used also in certain applications. It isshown that students in mechanical engineering and technology programs who have traditionallyavoided electronics and computers have readily and enthusiastically taken to data-acquisitionsystems.IntroductionThe use of modern data acquisition systems that use virtual instruments (VIs) has increaseddramatically in industry [1,2] in instrumentation and controls applications. This technology has influenced the design of modern test equipment with more intelligence “built directly into themachines of today for higher
8 fan Chamber humidifier Supply Air Page 3.200.3 Figure 2. The forced air system delivers conditioned air to the environmental chamber. 3Although the mechanical equipment for the forced air system described above was fullyoperational for nearly 20 years, precise control of the system was extremely difficult. Most ofthe control components dated to the 1970’s, well before computer controls were a reality. As aresult, the forced
not gather enough momentum to make the experiment interesting. If the rampis too long, it will be difficult to direct the cars in such a way that they stay on the ramp until thebottom. Provided at the center are also sandpaper, a small piece of carpet, and a piece of smoothplastic. The children are then given Matchbox cars of varying weight. Races can then beconducted on the ramp with cars of differing weight, with cars of the same weight with different Page 3.272.2materials covering the ramps, etc. The children are encouraged to experiment with differentcombinations after an initial teacher demonstration. Supplies used include: ramp(s
we willcontinue to search for better ways to help potential engineering graduates who may have gottenoff to a rocky start in their academic studies. References1. DeGarmo, E. P., W. G. Sullivan, J. A. Bontadelli and E. M. Wicks, Engineering Economy (Tenth Edition), Prentice Hall, Upper Saddle River, NJ, 1997.2. Sullivan, W. G. and S. F. Daghestani, ìMultivariate Analysis of Student Performance in Large Engineering Economy Classes,î ASEE Annual Conference Proceedings, Milwaukee, WI, June 16, 1997, Session 1239. BiographiesWILLIAM G. SULLIVAN is Professor of Industrial and Systems Engineering at Virginia Polytechnic Institute andState
No. 1, Washington, DC, The George Washington University, School of Education and Human Development.2. Jonassen, D. H., 1988, “Designing structured hypertext and structuring access to hypertext,” Educational Technology, v.28 n.11, p.13-16.3. Lynch, P. J., 1992, “Teaching with multimedia,” Syllabus, v.22 n.2.4. Sinatra, R., J. S. Beaudry, J. Stahl-Gemake, and E. F. Guastello, 1990, “Combining visual literacy, text understanding, and writing for culturally diverse students,” Journal of Reading, p.612-617.THOMAS J. CROWE is an assistant professor of Industrial Engineering and a member of the ManufacturingSystems Research Group at the University of Missouri - Columbia. His research interests include dynamic businessprocess
make it an excellent tool for teachingVHDL development. The software is free to students and runs on a PC. In addition, it has been ourexperience that VHDL is as easy to learn as Verilog. In other words, the advantage of prior knowledge of Cdoes not seem to significantly improve a students ability to learn Verilog. Hence, for the last two years,VHDL has been the language of choice for the introduction to digital electronics course.Using VHDL The lectures on VHDL (in fact, the entire set of digital electronics lectures) are available in power pointformat from the author,s web site (www.plu.edu\~spillmrj). VHDL is introduced during the fifth lecture(each class is 1.5 hours long so this represents the beginning of the 3rd week of a typical four
, students encounterthe math, science and engineering of real (virtual) devices and are able to work with themconveniently.Having these virtual devices available gives more of a “real world”-like experience in performingthe required experiments. Of course it is still virtual, but it is a practical laboratory encounter forcourses that must enroll so many students.Other virtual devices that have been developed and used include a ball falling in a gravitationalfield, a satellite orbiter and a Bungy Jump simulation.Course materials can be found at the URL: http://www.cps.msu.edu/~cps131References1. S. B. Niku, "Teaching Mechatronics to First-Year Engineering Students," Computers in Education Journal, Vol.VII, No. 3, pp. 6-9, July-September 1997
Page 3.60.4of possibilities. Therefore, innovative class assignments that call specifically for Internet-basedresearch using the virtual library are now being assigned as a way to increase active learning.The virtual library is now drawing interest from other curricula taught on campus. Links neededfor these other disciplines can be also added quickly and easily.In conclusion, the virtual library is a low-cost resource for student research with a high pay-off inbringing up-to-date information and better pedagogy to students. REFERENCES1 Barron, A.E., & Orwig, G. W. (1997). New Technologies for Education. A Beginner’s Guide. Englewood, CO:Libraries Unlimited.2 Bloom, Benjamin S. (1956
the form of Mathematica notebooks, have been developedand are presently being used in a dedicated computer equipped classroom. Studentevaluations of the new courses, based on questionnaires and informal discussions,indicate guarded acceptance of the new format. There are clear indications of satisfactionon the part of some students, but also strong concern about the many difficultiesencountered in learning and using Mathematica.AcknowledgmentThis work was supported in part by the National Science Foundation under grant DUE-9650253.References[1] Wolfram, S., “The Mathematica book,” 3rd Edition, Wolfram Media and Cambridge UniversityPress, 1996.[2] Barker, W., “Mathematica Computer Laboratory Instruction in Calculus and
selection(s) they will employ the capillary and on-line rheometers to determine the flow characteristics of their choices and select the material most suitable for their process/part.Step 2: Mold Design and Flow Analysis. Here, the students enter the viscosity data provided by the rheometers into CMOLD mold design and flow analysis software on PC platforms within the Center. They design tooling appropriate for their product and the material which they have selected, and then they study the flow of their selected material within their tool. Locations within the tool where residual stresses may occur are identified, and where appropriate, modifications to the tooling are undertaken.Step 3
Session 2230 Programmed Instruction - Engineered Instruction Re-Visited Wallace Venable West Virginia UniversityAbstractProgrammed Instruction (PI) was one of a number of technologies derived from Behaviorismduring the 1960’s. This paper outlines the elements of PI and summarizes its effective use atWest Virginia University. Behaviorism as a TechnologyAs teachers, our job is to deliver skills and knowledge to our customers. No psychologicalconcept provides more powerful tools to accomplish this task than Behaviorism, a product of
requires too Conduct Structural Assessment in a Classroom many ratings by the subject.3. Create referent graphs. The similarity calculations require the existence of a referent graphs, typically an expert’s. The person(s) chosen to be the referent needs to go through the rating process so that their model can be created via the Pathfinder algorithm (essentially steps 4-5 below).3.2. Assess Individual StudentsThe student’s role in the assessment process is to perform the assessment activities that havebeen designed. In return, the student expects to receive some feedback on hir/her current status.This feedback can range from simply telling the student the score that he/she has received forhis/her performance to more detailed
gap between liberal learning andtechnical education.References1. Kranzberg, M. (1993). Educating the whole engineer. PRISM, October, pp. 26-31.2. Florman, S. C. (1993). Learning liberally. PRISM, October, pp. 18-23.3. Shields, M. A. & J. P. O’Connell (1997). Professional development and collaborative teaching in anundergraduate engineering curriculum: A case study from the University of Virginia. ASEE Annual Conference,Session 3253, Milwaukee, June.4. O'Connell, J. P., M. A. Shields, E. R. Seeloff, T. C. Scott, and B. Pfaffenberger (forthcoming, 1998) Professionaldevelopment at the University of Virginia: Attributes, experiences, ABET 2000 and an implementation. In D. Ollis,K. Neeley, and H. Luegenbiehl, Eds., Liberal Education in the
. Critics maintainedABET's current way of accreditation is the biggest hindrance to "new and innovative" approachesto engineering and technology education. BackgroundThe American Association of Engineering in the 1920's established the committee on Accreditedschools and called for "more comprehensive and discriminating standards" for evaluatingengineering schools [4]. Recognizing the importance of this emphasis on quality engineeringeducation in the registration process, the National Council of State Boards of EngineeringExaminers (now National Council of Examiners for Engineering and Surveying) and parallelactivities in several major societies resulted in the formation of a Planning Committee. Thecommittee