on characteristic patterns in time.A quantitative technology forecast includes the study of historic data to identify one of severalcommon technology diffusion or substitution models. Patterns to be identified include constantpercentage rates of change (so-called “Moore‟s Laws”), logistic growth (“S”- curves), logisticsubstitution, performance envelopes, anthropological invariants, lead/lag (precursor)relationships, and other phenomena. These quantitative projections have proven accurate inpredicting technological and social change in thousands of diverse applications, on time scalescovering only months to spanning centuries.Invariant, or well-bounded, human individual and social behavior, and fundamental humanagency and evolutionary drives
interest in STEM and non-STEM subjects. However,having a population of technologically literate K-5(8) teachers and teacher candidates alsooffers many unique research opportunities. [The definition of “technologically literate” herelikely entails being literate to some degree in the S, M and T&E.] Leaving the teachingeffectiveness benefits aside, a population of technologically literate K-5 teachers, and Page 15.1194.2presumably their K-5(8) students, should enable technological literacy instruments to bebetter designed and calibrated. This has broad implications. Measurements of technologicalliteracy in MST and non-MST teacher populations could
Type Indicator (MBTI) is linked to personality preferences, as shownin Table 1. MBTI summarizes preferences in terms of four categories that represent howan individual processes and evaluates information. The first category describes how aperson interacts with his or her environment. People who take initiative and gain energyfrom interactions are known as Extroverts (E). Introverts (I) on the other hand prefermore of a relatively passive role and gain energy internally. The second categorydescribes how a person processes information. A person who relies on her senses isreferred to as a Sensor (S), while a person who seeks to interpret and gain insight frominformation is called an iNtuitor (N). The Sensor versus iNtuitor category is
, knowledge- intensive jobs and the innovative enterprises that lead to discovery and new technology, our economy will suffer and our people will face a lower standard of living. Economic studies conducted even before the information-technology revolution have shown that as much as 85% of measured growth in US income per capita was due to technological change. (p. 1) Keeping pace with this pressing need, the white house has taken upon the Educateto Innovate (WhiteHouse Press release(s) (2009 & 2010) initiative): The AP (1/7) reports that on Wednesday, President Obama launched his $250 million "Educate to Innovate" campaign "to train math and science teachers and help meet his
remove dust etc passengers and fluid crewTransmission Recirculated air Method of What has to be for heat balance regulation recirculated? What has to be lost?Exhibit 3. B. T. Turner’s application of a matrix developed by G. G. S. Bosworth to the problem ofaircraft ventilation.27 Detail is obtained by further expansion of the boxes (see exhibit 4). For exampleit can show a family tree of
impact students depending upon the environments inwhich students learn. Some recommended strategies for reaching all students with STEM afterschool activities are listed below:Content-based Strategies Use and teach with the latest technologies and provide students with tools from many and various media Contextualize activities by connecting with real-life situations and societal issues Provide opportunities for individual student expression and connection to their cultures and experiences Provide students with as much choice as possible in some aspect(s) of the activity Provide activities that link content areas (for example, dance and geometry, writing and astronomy) Provide a varied slate of
used in this project was bought from sources in Texas, somedating to the late 1870’s. Other items like the glass insulators were purchased locally or donatedby students and staff. Page 15.1004.6 Figure 2. Pioneer Days Technology.All items required cleaning, with special attention given those made from metal – they weresandblasted and painted with a rust-inhibitor. This collection also includes: railroad spikes,animal traps, hay hook, various sized horseshoes, scythe, plow shears, porcelain-enamel pots,and oil lamps. To be able to deliver and display these artifacts in context, an AV cart wasmodified, by attaching
for Engineering Education Annual Conference (2005). American Society for Engineering Education. 13. Orr, J.A., D. Cyganski, R. Vaz, “Teaching Information Engineering to Everyone,” Proceedings of the 1997 American Society for Engineering Education Annual Conference (1997). American Society for Engineering Education. 14. Pisupati, S. Jonathan P. Mathews and Alan W. Scaroni, “Energy Conservation Education for Non- Engineering Students: Effectiveness of Active Learning Components,” Proceedings of the 2003 American Society for Engineering Education Annual Conference (2003). American Society for Engineering Education. 15. National Science Foundation, Science and Engineering Indicators
Page 15.32.6Literacy, National Academy of Engineering; National Research Council; Greg Pearson and A. Thomas Young,Editors (2002), p. 3.2 Linda S. Hirsch, Siobhán J. Gibbons, Howard Kimmel, Ronald Rockland, and Joel Bloom, “High School Students’Attitudes To And Knowledge About Engineering,” 33rd ASEE/IEEE Frontiers in Education Conference, 2003.Paper #1145 Page 15.32.7
Society for Engineering Education Annual Conference, June 22 - 25, 2008, Pittsburgh, PA.17. Gustafson, R. J. and B. C. Trott. 2009. Two Minors in Technological Literacy for Non-Engineers, Proceedings of the American Society for Engineering Education Annual Conference, June 15-17, Austin, TX.18. Krupczak, J. J., S. VanderStoep, L. Wessman, N. Makowski, C. Otto, and K. Van Dyk. 2005. “ Work in progress: Case study of a technological literacy and non-majors engineering course,” Proceeding of the 35th ASEE/IEEE Frontiers in Education Conference, October 19-22, Indianapolis, IN.19. Pintrich, P. R., D. Smith, T. Garcia, and W. McKeachie. 1991. A Manual for the Use of the Motivated Strategies for Learning
-7.10 Bogue, B., & Litzinger, M. E. (2004). Wellness strategies for women engineers: An interdisciplinary course designed to help women engineers succeed. Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition.11 Chaturvedi, S., Crossman, G., Swart. W., & Betit, J. (2001). Global engineering in an interconnected world: An upper division general education cluster at Old Dominion University. Proceedings of the 2001 American Society for Engineering Education Annual Conference & Exposition.12 Herkert, J. R. (1997). STS for engineers: Integrating engineering, humanities, and social sciences. Proceedings of the 1997 American Society for Engineering Education Annual
. Oliver, David W., Timothy P. Kelliher, James G. Keegan, Jr. Engineering Complex Systems with Models and Objects, McGraw-Hill, New York (1997).33. Shigley, Joesph E., Charles R. Mischke, Standard Handbook of Machine Design, 2nd Edition, Mc-Graw Hill, New York, (1996).34. Merritt, Frederick S., M. Kent Loftin, Jonathan T. Ricketts, Standard Handbook for Civil Engineers, 4th Edition, Mc-Graw Hill, New York (1996).35. McCabe, Warren L., Julian C. Smith, Peter Harriott, Unit Operations of Chemical Engineering, 7th Edition, McGraw-Hill (2005).36. Ullman, D. The Mechanical Design Process, First Edition, McGraw-Hill, New York (1992).37. Stoll, H.W., Product Design Methods and Practices. Marcel Dekker, New York (1999).38. Ogot, M., and G
long string ofenergy transfers, like the “Mousetrap Game”. The main purpose is to show them that inreal life, something will probably go wrong, since real components follow Murphy’sLaw. Simply explained, Murphy’s Law says that” if anything can go wrong, it probablywill.” Page 15.1367.33. Mathematics and EconomicsThere are some misleading concepts that fuzzies may hold regarding mathematicalprinciples. One example is “Fibber McGee’s law of probability”, which is, “the less youwin, the more you gotta.” The radio show, “Fibber McGee and Molly” was popular inthe 1940’s. This misconception, that the more often you lose in a game of chance, thehigher the
Society: A Bridge to the 21st Century, 2nd ed. Upper Saddle River, NJ: Prentice Hall. 2003.4. Johnson, S., Gostelow, J. P., and King, W.J. Engineering and Society, Upper Saddle River, NJ: Prentice Hall. 2000.5. Loendorf, W. R. (2004). A Course Investigating Technology in World Civilization. Proceedings of the American Society for Engineering Education (ASEE) Conference, Salt Lake City, Utah, June 20-23, 2004.6. Pacey, Arnold. Technology in World Civilization, 4th ed. Cambridge, MA: MIT Press, 2001.7. Stross, Randall. Technology and Society in Twentieth Century America, Belmont, CA: Wadsworth Publishing Page
identify the technological impactsover time. The students in this class chose to pursue medicine, agriculture, currency, and waterresources, and either these or other topics may be utilized to teach this concept. Student directionand input made this course more approachable to non-engineering students and allowed them toidentify more easily with technological concepts. We have found that this design for impacts oftechnology to enhance technological literacy was effective, and that a similar design could beeffective at other institutions.Bibliography 1. Petrina, S. (1992). Curriculum Change in Technology Education: A Theoretical Perspective on Personal Relevance Curriculum Designs. Journal of Technology Education , 37-47. 2. Medicine