’9 9 6 ‘ S E E ‘“””” 1. broadening the context through putting the mathemat- Consider the following problem. For the function i@~~ new or veiled setting [3], f(z, y) = (X3 - 3X + 4)/(z4 -t 5y4 + 20), 2. deepening the level of detail or analysis, e.g., asking for maximum acceleration levels on a messy function d;awn from a realistic position function, suppose your eye is precisely on the surface z = f (x, y) 3. stepping up the mathematical level of the problem, e.g., at the point (2.8, .5, f (2.8, .5)). You look to the west, i.e. going from linear to non-linear formulation, or in the direction (roughly) (— 1,0
as shown inFigure 1. The presentation uses colorful andattractive overheads describing an undergraduateresearch experience at NASA Lewis ResearchCenter in the Space Experiments Division (thisgroup develops experiments for the space shuttleand trains astronauts in their use). The presentationis supplemented with slide photographs and videotape of the work which was performed at NASA.BACKGROUND Since the early 1970's, microgravity scienceresearch has emerged as a new way to reveal theunderlying physics and chemistry of combustionphenomena. The early work in microgravitycombustion, and the majority of the work done thusfar, has been conducted in ground-based facilities, FIGURE 1. WSU engineering student Davidi.e., the 2.2- and
and Professor of Industrial and Manufacturing Engineering at Wichita State University. She received a B.S. in Industrial Engineering from the University of Puerto Rico and a M.S. in Industrial and Operations Engineering in from the University of Michigan. She also holds a Ph.D. in Industrial and Systems Engineering from Georgia Institute of Technology. Dr. Toro-Ramos has been in academic administration for over sixteen years. Her research interests include engineering education, broadening the participation in higher education and transformation of institutions of higher education.Barbara Chaparro, Wichita State University Barbara S. Chaparro has a Ph.D. in Experimental Psychology from
university, including come-and-go tutoring sessions andthe more formal Supplemental Instruction program (both of which averaged 10 – 20 students perday total from all lower-level mathematics courses, including calculus).Homework/E-Mail: In the Fall of 2006 the Mathematics and Statistics Program at LouisianaTech University began piloting a web-based homework system in an effort to increase studentmastery of course content and increase individual student accountability on out-of-classassignments. They chose a program called WeBWorK14, developed in the mid-1990’s atUniversity of Rochester by Arnold Pizer and Michael Gage. Two of the primary goals of thisproject were: 1) to increase student mastery of course content, and 2) to increase individualstudent
Integrated Postsecondary Education Data System (IPEDS), Fall 2006.2. Lent, R. W., Brown, S. D., & Hackett, G. (1994). Toward a unifying social cognitive theory of career and academic interest, choice, and performance. Journal of Vocational Behavior, 45(1), 79-122. Page 14.306.93. Vroom, V. H. (1964). Work and motivation. New York: Wiley.4. Bandura, A. (1986). Social foundations of thought and action : A social cognitive theory. Englewood Cliffs, N.J.: Prentice-Hall.5. Fouad, N. A., & Smith, P. L. (1996). A test of a social cognitive model for middle school students: Math and science. Journal of
satisfied with thelaboratory experience. Furthermore, as indicated by students’ survey results in two consecutiveyears, significant improvements in this laboratory were accomplished by introducing traditionalmanufacturing processes through the book-making processes. Finally, the laboratory equipmentpurchased to run the book-making experiment was inexpensive thus making it affordable forimplementation in many other institutions.Bibliography1. Peters, F., Jackman, J, Ryan, S, and Olafsson, S., “An Active Learning Environment in an Integrated Industrial Engineering Curriculum,” Proceedings of the 2003 ASEE North Midwest Section Conference, 2003. http://www.asee.org/activities/organizations/sections/proceedings/NorthMidwest/2003/contents
ownediron mines in Minnesota, coal mines in West Virginia, and rubber plantations in Brazil inhis attempt to control the entire supply chain. This model was followed by other largemanufacturers such as General Motors and process industries such as Standard Oil. So Page 14.147.2powerful was this model that through the 1960’s their sheer size and integration fendedoff competition since challenging such behemoths was considered too expensive for anysingle company. The amount of capital required to compete was widely accepted as arelatively insurmountable “barrier to entry” thus ensuring monopolies and oligopoliesespecially in the auto industry.3 From the 1920s
, 1978; North American Association forEnvironmental Education, 1999). Despite this, ‘two-thirds of adult Americans consistently failsimple tests of environmental knowledge’2.It can only be imagined, how much high school and beginning college students know aboutenvironmental and ecological engineering and are aware that engineering is a major careerchoice for students who want to make an environmentally and ecologically sustainable impact.The following examples demonstrate that engineering skills and knowledge are essential toenvironmental protection and enhancement. First, would a person switch from a standardresidential home to an “energy efficient home”, if s/he knew that the carbon footprint, use ofenergy, and greenhouse gas emissions of
technology.III. What is Software Defined Radio(SDR)?Software Defined Radio (SDR)11-14 is an emerging technology built on one of the greatdevelopments of the 20th Century: fast and cheap microcomputers. It represents a new method inprocessing radio signals that is a quantum leap over the older, original method of analogprocessing.Since the invention of radio in the late 1800’s, signals have been processed through a singlemethod: the signal is picked up by an antenna that turns the radio wave back into a fluctuatingvoltage signal. This signal is passed on to various components in the receiver which react with itto eventually produce the sound, video or data that is desired.The function of these components and systems has been modeled mathematically in
Perspectives on Science and Mathematics Learning,” Science Education, Vol. 75, No. 1, pp. 9-21.6. K. Williamson, H. Ndahi, S. Waters, L. Nelson (2005) “Facing the realities of “high-stakes” testing while keeping science and engineering outreach alive,” Paper No. 2005-1184, Proceedings of the 2005 American Society of Engineering Education Annual Conference & Exposition.7. ENERGY STAR for K-12 School Districts, retrieved February 15, 2006 from the World Wide Web: http://www.energystar.gov/index.cfm?c=k12_schools.bus_schoolsk12 Page 11.351.10Appendix A – Survey InstrumentsA1. Energy Consciousness Survey Table 1
determine the effectiveness of thecurriculum at higher learning institutions, similar attitude and aptitude data are being collected. Efforts arealso underway to examine whether the Alice software can be used to introduce middle school and highschool students to programming concepts.Acknowledgments:We would like to thank Dr. William Navidi from the Colorado School of Mines for his assistance with thestatistical analysis. We would also like to thank Dr. Tracy Camp from the Colorado School of Mines forher consultation regarding computer science education.References1. Cooper, S., Dann, W., & Moskal, B. Java-Based Animation in Building viRtual Worlds for Object-oriented programming in Community colleges. NSF-DUE-0302542.2. Alice v2.ob Learn to
time and any where''. Inthis paper we discuss the transformation from a traditional to a distance education model that isoccurring here at the College of Engineering in Virginia Tech. We will specifically explain howsynchronous systems like videoconferencing over the Internet (especially video over IP) arebeing put to use in an attempt to minimize costs while extending the range and reach ofeducators.I. IntroductionDistance learning has been around for the last 75 years or more. Since the early 1930's distancelearning has seen phenomenal growth both in the number of people opting for a distance learningbased initiative as against a traditional classroom and in the technology used. Till about the late1980's and up to an early part of the 1990's
2006-196: INTERDISCIPLINARY COLLABORATION IN AN INTRODUCTORYBIOENGINEERING COURSELaura Sullivan, Kettering University Dr. Laura Sullivan arrived at Kettering University in 1992, after completing M. S. and Ph. D. degrees in Materials Science and Engineering at the University of Texas at Arlington. Prior to this, she obtained a B.S. degree in Biomedical Engineering from Arizona State University and worked as a Clinical Orthopedic Engineer for the Baylor College of Medicine in Houston, Texas. With expertise in polymer engineering and biomaterials, Professor Sullivan has taught Mechanics, Engineering Materials, Polymer Processing, Polymer Properties, and Biomaterials at Kettering
Foundation, 2002, NSB-02-1.3. Sorby, S., “Improving the Spatial Skills of Engineering Students: Impact on Graphics Performance and Retention”, Engineering Design and Graphics Journal, Vol. 65, No. 3, 2001, pp. 31-6.4. Hsi, S., M. Linn, and J. Bell “The Role of Spatial Reasoning in Engineering and the Design of Spatial Instruction”, Journal of Engineering Education, April, 1997, pp. 151-8.5. Rochford, K., A.P. Fairall, A. Irving, and P. Hurly, “Academic Failure and Spatial Visualization Handicap of Undergraduate Engineering Students”, International Journal of Applied Engineering Education, Vol. 6, No. 5, 1989, pp. 741-9.6. Poole, C. and G. Stanley, “A Factorial and Predictive Study of Spatial Ability”, Australian Journal of
reflectiveengineers of tomorrow.References1. Kolb, D. A., 1984, Experiential Learning: Experience as the Source of Learning and Development, Prentice Hall, Inc., Upper Saddle River, NJ.2. Dixon, J. R., 1991 (March), “New Goals for Engineering Education,” Mechanical Engineering, pp. 56-62.3. Bransford, J. D., Brown, A. and Cocking, R. R. How People Learn: Brain, Mind, Experience, and School. Washington, DC: National Academy Press, 1999.4. Carroll, S., S. Beyerlein, M. Ford and D. Apple, 1996, "The Learning Assessment Journal as a Tool for Structured Reflection in Process Education," Proceedings of the Frontiers in Education Conference, Salt Lake City, UT, pp. 310-313.5. Maharaj, S. and L. Banta, 2000, “Using Log
Leadership and Change. New York: Addison-Wesley.6. Deming, W.E. (1994). The New Economics for Industry, Government, Education, 2nd Edition. Cambridge, MA: The W. Edwards Deming Institute. Page 11.865.117. Edvinsson, L. & Malone, S. (1997). Intellectual Capital: Realizing Your Company’s True Value by Finding its Hidden Brainpower. New York: Harper Business.8. Gotterbarn, D. & Riser, R. (1994). Real-World Software Engineering: A Spiral Approach to a Project-Oriented Course. Proceedings of the 17th Annual Conference on Software Engineering, San Antonio, TX, pp. 119- 150.9. Howell, J. M. & Hall
=.16k k c No Water 12 Inch S upports 0.4 Added Water 0.4 16 Inch S upports lo w dam ping
on society. Theprimary difficulties are the lack of a textbook in this area, and the constant need to keep abreastof rapidly changing engineering policy topics. It is also becoming more difficult to coverengineering public policy at anything other than the federal level because of the vast amount ofinformation. And, it is important for the instructor to maintain a classroom environment thatrespects differing political perspectives, and in fact, highlights the many aspects other thanpolitics that affect technology policy.References1. Kraft, M. and Furlong, S. (2004). Public Policy: Politics, Analysis, and Alternatives, CQ Press, Washington D.C.2. Easton, Thomas A. (2005). Taking Sides: Clashing Views on Controversial Issues in Science
completing a course in engineering economy. Regardless of the pedagogical techniques, students experience significant improvement in conceptual understanding of economy concepts during the course.This research provides a necessary first step towards identifying capabilities and limitations inour capacity in teaching engineering economy and can provide important feedback with regardsto what works and what does not work for improving student’s conceptual understanding offundamental concepts.References: 1. Chappuis, J., Stiggins, R,J, Arter, J., Chappuis, S. Classroom Assessment for Student Learning: Doing It Right - Using It Well. Pearson, 2012, ISBN: 0132685884, 9780132685887. 2. Methods of Assessment. The
major. However despite a lack of connection between their identity andengineering, some students may persist in engineering based upon factors such as the desire toearn an engineer’s salary. Students with lower academic performance have been shown to persistin engineering if they identify with the engineering major or feel as if they were getting futureusefulness or enjoyment from engineering.6,10Engineering programs across the country have varying formats and matriculation processesranging from: common course(s) for First-Year Engineering (FYE), direct admittance to anengineering discipline, or programs in which all students are initially undesignated11. Studentsenrolled in common FYE were more likely to persist to the third semester than
formation in a multicultural and interdisciplinarysetting coupled with hands-on doing based on repetitive do-test-learn cycles that areconstantly assessed and communicated by the teaching team.Design, whether as design science or design thinking has been with us for quite some time.Already in the 1950´s B. Fuller, a renowned scientists and inventor described design scienceas: “…the effective application of the principles of science to the conscious design of ourtotal environment in order to help make the Earth’s finite resources meet the needs of allhumanity without disrupting the ecological processes of the planet” Buckminister Fuller [17].There is relevant criticism to be considered as well. The three perspectives, based on Kimbell2011, are that
. Department of Labor, Occupational Outlook Handbook, 2016-17 Edition, Biomedical Engineers, on the Internet at https://www.bls.gov/ooh/architecture-and-engineering/biomedical-engineers.htm.[2] Bureau of Labor Statistics, U.S. Department of Labor, Occupational Outlook Handbook, 2016-17 Edition, Occupational Information Included in the OOH, on the Internet at https://www.bls.gov/ooh/about/occupational-information-included-in-the-ooh.htm.[3] C. G. Prober and S. Khan, “Medical Education Reimagined: A Call to Action.,” Acad Med, vol. 88, no. 10, pp. 1407–1410, Oct. 2013.[4] T. Jong, M. C. Linn, and Z. C. Zacharia, “Physical and Virtual Laboratories in Science and Engineering Education.,” Science, Vol. 340, Issue 6130
allow students to better develop into adult learners upongraduation. References1. P. Mortimore and C. Watkins, Understanding Pedagogy and its Impact on Learning, SAGE, 1999.2. M. S. Knowles, The Modern Practice of Adult Education, Andragogy versus Pedagogy, New York: Associated Press, 1970.3. M. Knowles, The Adult Learner: A Neglected Species, Houston, TX: Gulf Publishing Company, 1973.4. S. B. Merriam, "Andragogy and Self-Directed Learning: Pillars of Adult Learning Theory," New Directions for Adult and Continuing Education, pp. 3-14, 2001.5. Educational Technology and Mobile Learning, Accessed March 2017. http://www.educatorstechnology.com/2013/05/awesome-chart-on-pedagogy-vs- andragogy.html.6. S. Bell, "Project-Based
there is less than a 95% probability that the two groups are actually different.The significance of differences in overall student score for the questions of the pre- and post-testwere determined using a one-tailed t-test (Equation 4). x 0 t (Equation 4) s/ nWhere: ̅ = Mean score on concept inventory, end-of-semester = Mean score on concept inventory, beginning-of-semester s = Standard deviation, end-of-semester n = Number of students, end-of-semesterThe internal consistency of the concept inventory was evaluated with the Kuder-RichardsonFormula 20 approach (Equation 5). k j 1 p j q j k
with a variety of long-termcareer objectives including premedical students pursuing a baccalaureate inenvironmental engineering.Table 1. Summary of six seminal learning opportunities including a course at theUniversity of Cincinnati (CEE600) and a course at the Missouri University of Scienceand Technology (CE390/CE4099).Description; Co-leaners Outcome(s)Time frameCEE600 MDG7: Ensuring Author Development and deliveryEnvironmental 3 additional faculty of a term-length, dual-levelSustainability (dual-level, approx. 80 undergraduate course with two tripsterm-length course) and 40 graduate students abroad to IndiaAutumn, 2004
problems in their communities and beyond using the Game Changers as examples of innovative solutions.• Q: If you were going to grade our infrastructure systems (at the local, state or national level), what grade(s) would you give and why? Can you justify the grade(s) using similar criteria as in the Report Card? o Activities: For older students, teachers assist in exploring why the various infrastructure categories received the grades that they did, bring in local infrastructure “experts” to assist with the discussion and assessment. Additionally, depending on the infrastructure that is being considered, teachers
) “Educating Generation Net-- Can U.S. Engineering Woo and Win the Competition for Talent,” Journal of Engineering Education, Vol. 97, No. 3, pp. 246-257. 3. Tavrou, S., Thong, C., & Steele, C. (2011) Increased female participation into engineering education through specialised courses, Australasian. 4. Matusovich, H.M., Streveler, R.A. and Miller, R.L. (2010) “Why do students choose engineering? A qualitative, longitudinal investigation of students' motivational values,” Journal of Engineering Education, Vol. 99, No. 4, pp. 289-303.5. Mattern, N., & Schau, C. (2002) “Gender differences in science attitude-achievement relationships over time among white middle-school students,” Journal of Research in
Learning Communities: Building Connections among Teaching, Learning, andTechnology. Jeffrey S. Nugent, R. Martin Reardon, Fran G. Smith, Joan A. Rhodes, Mary Jane Zander,Teresa J Carter. 1, s.l. : International Journal of Teaching and Learning in Higher Education, 2008, Vol. 20.51-58. 12AppendicesAll new faculty and academic staff are invited to participate in anonymous surveys at the end of eachsemester of their first year. This survey is Appendix 1: Biannual Survey. The post survey is for new facultyonce they have been at UW-Platteville for two years, and can be found in Appendix 2: Post SurveyAppendix 1: Biannual Survey 1. If you attended any meetings of the New Faculty Learning Community
. https://c9.io/ 4. Wu, L., Liang, G., Kui, S., & Wang, Q. 2011. CEclipse: An online IDE for program- ing in the cloud. In 2011 IEEE World Congress on Services, IEEE, pp. 45-52. 5. https://www.codecademy.com/ 6. http://cscircles.cemc.uwaterloo.ca/ 7. Pritchard, D. and Vasiga, T. 2013. CS circles: an inbrowser python course for begin- ners. In ACM Technical Symposium on Computer Science Education, pp. 591-596. 8. Guo, P. 2012. Online Python Tutor: Embeddable web-based program visualization for CS education. http://pythontutor.com/.9. Brusilovsky, P. and Sosnovsky, S. 2005. Individualized exercises for self-assessment of programming knowledge: An Evaluation of QuizPACK. ACM Journal of Educa- tional Resources in
to foster higher student retention rates inintroductory computer programming courses.References: DiSalvo, B., & Bruckman, A. (2011). From interests to values. Communications of the ACM,54(8), 27-29.Newhall, T., Meeden, L., Danner, A., Soni, A., Ruiz, F., & Wicentowski, R. (2014, March). Asupport program for introductory CS courses that improves student performance and retainsstudents from underrepresented groups. In Proceedings of the 45th ACM technical symposium onComputer science education (pp. 433-438). ACM. Goldweber, M., Barr, J., Clear, T., Davoli, R., Mann, S., Patitsas, E., & Portnoff, S. (2013). Aframework for enhancing the social good in computing education: a values approach. ACMInroads, 4(1), 58-7Guzdial, M. (2009