broadened theireducation further by venturing into business and law professions. This expansion of the focus ofchemical engineering education occurred in the 1960’s with the publication of “TransportPhenomena” by R. Byron Bird, W.E. Stewart and E.N. Lightfoot [3]. This book epitomized theshift in emphasis of chemical engineering education from practical application to fundamentalcomprehension. Chemical engineers now not only had to understand how to operate engineeringequipment, but also the fundamental principles of science which governed that equipment. Thisallowed chemical engineers to apply their skill sets to other industries. This shift in focus brought with it the use of any new technologies that would commonlybe used in science such
„effectiveness‟ of using video,in an education pedagogy sense. To address this a metric was created and planned for use inanother course (also using the foundry).Finally, the process of creating a video is time and equipment intensive. Some ancillary aspectsof video production included a momentarily clean foundry, an outstanding archive document,and some of those higher Bloom‟s Taxonomy (3) scenarios played out on the instructor.MethodologyThis project posits the use of video to accelerate and improve some basic foundry concepts andskills. Since safety is such a prominent constraint, it is covered soon and often. Commercialvideos (4) have been used during MET257 in conjunction with lab tours and demos. Butcommercial scenarios are typically different in
collected: gender,major(s), year in school, relevant course work, and the results of the online learning stylesassessment. The learning style assessment gave the students a numeric indicator for theirlearning preference in each category, over a range from -11 (extreme to one side), to +11(extreme to the other side). Using this information the course and lab instructors assigned elevengroups with 3-5 students in each. Groups were assigned such that they had a roughly equalrepresentation of gender and majors and had an “average” learning style for each group that wasbalanced within each of the four categories. We did not mix undergraduate and graduatestudents. It was obviously impossible to perfectly mix the groups, but the average learning styleof
Production Economics, vol 62, pp. 87-105, 1999. 2. S. C. Park, A methodology for creating a virtual model for a flexible manufacturing system, Computers in Industry, vol. 56, pp. 734–746, 2005. 3. D. Kotak, S.Wu, M. Fleetwood, H. Tamoto, Agent-based holonic design and operations environment for distributed manufacturing. Computers in Industry, vol. 52, pp. 95-108, 2003. 4. M. Bal, M. Hashemipour, Virtual factory approach for implementation of holonic control in industrial applications: A case study in die-casting industry. Robotics and Computer-Integrated Manufacturing, Vol. 25(3), pp. 570– 580, 2009. 5. S. Cavalieri, M. Macchi , P. Valckenaers, Benchmarking the performance of manufacturing control
forthe following discussion on the three great challenges of the past thirty years and the responsesobserved thereto.1983: The issue of a distinctive curricular identity for manufacturing engineering was firstopenly and cohesively articulated in the early 1980’s. The founding of the ManufacturingConstituent Committee at the ASEE conference at Southern California in 1981 was one of thecritical milestones. Another occurred at the ASEE conference in Salt Lake City in 1983, whenover coffee during a break in the sessions, the notion of a workshop to explore curricular identitywas first broached. The question formulated at that time was as direct as it was simple: “If youwant to teach someone to be a manufacturing engineer, what do you teach?” The
, which played a more significant role in sustaininginterest in engineering for women than men. When entered in the second block, theenvironmental factor, Respect/Care, had stronger predictive power for women than men(Women: ß=.343, p≤.001; Men: ß=.270, p≤.001). Negative Educational Experiences, afactor identified by Goodman et al.10, had a statistically significant effect in theregression equations for both men and women, but the effect was stronger for women(ß=-.211, p≤.001) than men (ß=.-141, p≤.001).Contrary to Fox et al.’s assertion14, the block of individual variables, particularly thefactor measuring motivation, had more explanatory power for both men and woman thanthe environmental factors. The variable, Motivation, played the most
AC 2010-171: EXCEL IN MATHEMATICS: APPLICATIONS OF CALCULUSCynthia Young, University of Central Florida Cynthia Young is a Professor in the Department of Mathematics in the UCF College of Sciences and a Co-PI of the NSF-funded S-STEM program at UCF entitled the "Young Entrepreneur and Scholar(YES) Scholarship Program" as well as the NSF-funded STEP program entitled "EXCEL:UCF-STEP Pathways to STEM: From Promise to Prominence." Dr. Young's research interests are in the mathematical modeling of atmospheric effects on laser beams. She currently has projects with the Office of Naval Research and the Naval Research Laboratory investigating atmospheric propagation in the marine
Page 15.680.10of this field – to use these concept and techniques to positively affect human health. By the timethese students become juniors and seniors, we must remind them of this ultimate goal.Incorporating real-world examples and having students tackle more abstract problems on theirown is one way to do so.1. E. Jansen, A. Mahadevan-Jansen, W. Lin, S. Brophy and M. Mackanos. Development and Implementationof an Interactive Instructional Module of Light Distribution in Tissue. 2001.2. J. Bransford, National Research Council (U.S.). Committee on Developments in the Science of Learning.and National Research Council (U.S.). Committee on Learning Research and Educational Practice., How peoplelearn : brain, mind, experience, and
1100 s. The figure also shows the solution of the Page 15.1157.6model. The model agrees well enough with the data to be useful for designing the controlalgorithm.The model was used to design a PI controller. The PI gains were selected to give a closed loopsystem with a damping ratio of ζ =1 and a desired closed-loop time constant τd.The Results Since the heater voltage is limited to 12 V, if τd is selected too small, the heater willsaturate. A Simulink model was constructed to investigate how small τd could be made withoutcausing saturation. It was found that τd close to 550 s was the smallest possible value. Figure 5shows the experimental
that you think undergraduates should be prepared for at the outset of their professional careers.Over ninety CoE alumni or alumnae responded to the email. The survey was not intended to be ascientific instrument. The organizers could determine the age, gender and engineering majorthrough alumni records, but elected not to do so. However, approximately one-half of therespondents did list their majors and years of graduation. All engineering majors wererepresented: chemical (7%), civil (32%) electrical/computer (27%) and mechanical (34%). Theyears of graduation ranged from the 1940’s to the 2000’s. The 1950’s, 1960’s, 1980’s and1990’s were the most prevalent years.Most of the respondents did not address the two questions directly
consists of a question and actual student response from a recentTransport Phenomena 1 final exam (the student was a junior):Gasoline is being pumped 17 miles through nominal 3-inch, schedule-40 steel pipe at arate of 9500 gal/hr. What horsepower will be required if the pump’s efficiency is about75%? ≠ M/ τ The average velocity in the pipe: > V ≅? ρR 2 4571856 therefore, > V ≅? 2 ? 8.9 x107 ft/s. ρ (0.1278) d >V ≅ τ
engineeringnotebook can be used as a reference on their test(s). The notebooks are the common 9-3/4" x 7-1/2", 80 – 100 page composition books carried by office supply store chains for about $2.50.Students typically paste a subset of lecture slides, reference tables, classroom examples, andstudent-developed decision trees in the notebooks. An advantage of the journal entry format isthat students may take ownership of the format and express difficult concepts through alternatetypologies. Figure 5 above, for example, demonstrates a very linear or analytical format,whereas students display information from a more conceptual framework. In addition, the course incorporates on-line spreadsheet templates for normal probabilityplots; continuous variables
example of such a recruiting video can be seen on our nonprofitYouTube channel: http://www.youtube.com/watch?v=Wq545270FDASCHOOL TYPE (X AXIS) VS. API (Y AXIS)D i me nsi o n of th e do t = T ea ch e r t o S tu de n t r at i o Page 15.501.5 Figure 1 The scatter plot compares schools by type – elementary (red), charter (green), continuation (blue), high(magenta) and middle (yellow). The user can identify high and low performing schools by looking at the position of the schools on the y-axis (API).Parent Involvement: Engaged Adults and Sustained CommitmentNumerous studies have established the link between parent
( N1 / 1)σ 12 − ( N 2 / 1)σ 22the categories is then given by d ? where s ? s N1 − N 2Note that the parameter s 2 is a weighted combination of the category sample variances, withrelatively more emphasis given to the category with more samples. For an effect well-separated from the control category, s will be small for a given µ1 / µ2 (since the categoryvariances σ12 and σ 22 will be small), thus d will be “large.” For cases where either category isdispersed (and therefore has a larger category variance) the increased value of s serves toreduce the distance between categories and d will be “small.”For the at-risk students in Circuits & Systems, Cohen’s effect size was
“evaluation” step. See Linsey, et al.,3 for a more detailed explanation of the method.A “PHLiP” book (Figure 2) was also presented as a tool to guide professor in development ofALPs. Understand the Educational Goals and Objectives • Define Stakeholders and Collect Stakeholders’ Input • Define Educational Goals and Objectives Based on Stakeholders Input • Prioritize Goals and Determine Metrics • Define Topics • Select Topic(s) for Developing ALPs Based on Goals and Metrics Generate Possible Active Learning Product (ALPs) Educational
(AWAKEN)" to theUniversity of Wisconsin-Madison. Page 15.274.13Bibliography1 NRC. 2007. Rising Above The Gathering Storm: Energizing and Employing America for a Brighter Economic Future Committee on Prospering in the Global Economy of the 21st Century: An Agenda for American Science and Technology, Washington, DC: National Academy of Sciences, National Academy of Engineering, Institute of Medicine, National Academy Press.2 www.ed.gov/programs/racetothetop3 Fink, L. D., Ambrose, S. & Wheeler, D. (2005). Becoming a professional engineering educator: A new role for a new era. Journal of Engineering Education, 94(1), 185-194.4
technology corporations.Linda Hirsch, New Jersey Institute of Technology LINDA S. HIRSCH is the Program Evaluator in the Center for Pre-College programs. She has a doctoral degree in educational psychology with a specialty in psychometrics and a Masters degree in statistics. She has been involved in all aspects of educational and psychological research for 15 years. Dr. Hirsch has extensive experience conducting longitudinal research studies and is proficient in database management, experimental design, instrument development, psychometrics and statistical programming.Levelle Burr-Alexander, New Jersey Institute of Technology LEVELLE BURR-ALEXANDER is Director for TRIO programs and project
provided with learning experiences that captivate and motivate them throughengagement with authentic real-world problems that appeal to their natural creativity,imagination, and passion, while at the same time develop their problem solving and criticalthinking skills 5,6,7,8,9,10. One instructional method capable of providing this type of learningexperience is PBL.Problem Based LearningPBL is an instructional approach that challenges students to “learn how to learn” throughcollaborative real world problem solving. Used extensively in medical education since the1970’s, PBL has emerged as an exciting and effective alternative to traditional lecture-basedinstruction in STEM education. Unlike project-based learning in which students complete aproject
http://careerplanning.about.com/od/selfassessment/Self_Assessment.htm10 Carl D. Perkins Career and Technical Education Act of 2006. (2006). Pub. L. No. 109-270. Retrieved March 1, 2009, from http://www.ed.gov/policy/sectech/leg/perkins/index.html11 Davis, D. C., Beyerlein, S. W. & Davis, I. T. (2005). Development and use of an engineer profile. Paper presented at the Annual Conference of the American Society for Engineering Education, Portland, OR.12 Flynn, P. M. (2007). Red flags in high-tech. The New England Journal of Higher Education, XXII(1), 23-24.13 Gibbons, S. J., Hirsch, L. S., Kimmel, H., Rockland, R., & Bloom, J. (2004). Middle school students' attitudes to and knowledge about engineering. Paper presented
supported by a National Science Foundation grant no. 0837634. Anyopinions, findings, and conclusions or recommendations expressed in this material are those ofthe author and do not necessarily reflect the views of the National Science Foundation.Bibliography1. Online resource available at: http://www.census.gov/foreign-trade/statistics/product/atp/2006/12/atpctry/atpg06.html (last accessed on March 27, 2010)2. Online resource available at: http://www.census.gov/foreign-trade/statistics/product/atp/2008/03/atpctry/atpg06.html (last accessed on March 27, 2010)3. Hsi, S. and Agogino, A.M. “The impact and instructional benefit of using multimedia case studies to teach engineering design,” Journal of Educational Multimedia and
butemphasized technical expertise. Bannerot et al [5] suggested overall curricular changesstarting with the freshman year to demonstrate the relevance of thermodynamics andenergy in the global society. Manno [6] points out that, after years of disinterest in powerproduction in the educational circle, this is a prime time to discuss the environmental,economic and social implications of various large scale power systems.WPI has long had a strong emphasis on project based learning. WPI placed project-basedlearning at the core of its academic program in the early 1970’s when it redesigned its 1graduation requirements to include two major projects [7]. WPI graduation
canoe were not large enough to result in the failure of thecanoe. Based on FEA analysis the concrete canoe was successfully constructed. 1IntroductionConcrete is not a common material to construct a canoe. In the 1960’s, some civilengineering college students decided to build a canoe using reinforced concrete. Thishowever was not an innovative idea. In 1848, Joseph Louis Labot of France built the firstconcrete dingy. The first ocean-going concrete ship was an 84-foot long boat constructedin Norway and launched in 1917. Concrete boats were built during WWII and yachts arestill being manufactured from concrete in several countries. In 1970, ACI President
instructor:1 S: ((At the same time)) Different, different angles. 162 S: A protractor sitting here. With a string with a weight on it. So as you tip it it'll that'll tell you3 what degree you're tipping it.4 T: I like that. That's nice.5 S: So that tells you what degree so we can figure that out. In this example, the students chose a catapult as their ballistic device, and are explaining how they will measure the angle of trajectory. The mathematics concept central to this discussion is how to measure angles from the vertical. The explicit integration of this concept is how the students hang a weighted string off of
necessary to make onefurther point about the practice of change that is often overlooked and that is the role ofthose in power. Very often those with the power authorise an individual(s) to makechanges but do not subsequently give them the support they need. The respondents tochange need to see that those with power support the change wholeheartedly and providethe resources for it to be brought about.20Toward curriculum changeIn general, therefore, curriculum change is more likely to be internalised when it is seen Page 15.1.6to be plausible, and planned to take place in small steps that are seen to be naturaldevelopments, one following from the other
project around the work of others12 Steps to a Better Proposal 8. Grammar and spelling count 9. Format and brevity are important 10. Know the review process 11. Proof read the proposal before you submit it 12. Submit your proposal early and proof read it after you submit it Writing a good proposal takes commonsense and effort—it‛s not magic
Trends in DOD "S&T", FY 1994-2011 in billions of constant FY 2010 dollars 8 6 DOD "6.3" 4 DOD "6.2" 2 DOD "6.1" 0 2011 1994
project around the work of others12 Steps to a Better Proposal 8. Grammar and spelling count 9. Format and brevity are important 10. Know the review process 11. Proof read the proposal before you submit it 12. Submit your proposal early and proof read it after you submit it Writing a good proposal takes commonsense and effort—it‛s not magic
society.Results compared to the Arizona sampleAn independent samples t-test at a significance level of 0.05 was conducted to compare theINSPIRE sample to the Arizona sample previously reported in Yasar et al.’s paper 5. Therewas a significant difference in how the participants in the two studies rated the stereotypicalcharacteristics of engineers, t(165)= 3.58, p<0.01, d=0.70. The INSPIRE participants weremore likely to agree that typical engineers had people, writing and verbal skills. While theirresponses on the stereotypical characteristics of engineers showed significant differences,there were no significant differences in how the teachers in the two studies viewed theimportance and characteristics of engineering. In both studies, teachers’ rating
was a member of the research staff at M.I.T.'s Lincoln Laboratory. He then became a professor in the Electrical Engineering and Computer Science Department at M.I.T. In 1982, he joined Schlumberger Well Services where he worked on the application of 2-D spectral estimation to the processing of dispersive sonic waves, and the implementation of signal processing algorithms for dedicated high-speed array processors. He has been at Georgia Tech since 1987. Prof. McClellan is a Fellow of the IEEE and he received the ASSP Technical Achievement Award in 1987, and then the Signal Processing Society Award in 1996. Prof. McClellan is active in curriculum development for undergraduate education
butfundamentally to look for new more appropriate and captivating contents to present to the newplugged students. Besides all of the technical and pedagogic aspects it is necessary to think aboutthe psychological aspects of this great and passionate process of teaching. For the good or for theevil, there it is this new socioeconomic and political world of contrasts in which only theeducation can really change for better [05].Speaking about education for best, the professionals who leave the universities today leavealready with a stock of knowledge that is partly obsolete and s/he has to run fast to adapt to thenew job market. Is this the fault of the University? The answer is no, the University has beenserving the society for centuries and without