Siewiorek. 2011. “Breaking Boundaries: Strategies for Mentoring Through Textile Computing workshops.” In Proceedings of the 2011 Annual Conference on Human Factors in Computing Systems. Vancouver, BC, Canada. 6. Puck, Brenda S., and Wendy R. Stary. "The STEPS Difference: 16 Years of Attracting Girls to Careers in Science, Technology, Engineering & Mathematics." In Proceedings of the 2012 ASQ Advancing the STEM Agenda in Education, the Workplace and Society. Menomenie, WI. 7. Sullivan, Florence R. 2008. “Robotics and Science Literacy: Thinking Skills, Science Process Skills and Systems Understanding.” Journal of Research in Science Teaching 45 (3):373-394
implementation. In addition, exposingstudents to more challenging concepts, more productive brainstorming process and developingcooperative learning skills are also under investigation.Bibliography1. T. D. Fantz, T. J. Siller and M. A. DeMiranda, “Pre-collegiate factors influencing the self-efficacy of engineering students,” J. of Engineering Education, July 2011, vol. 100. No. 3, pp. 604-623.2. N. S. Salzman, G. D. Ricco, and M. W. Ohland, (2014), “Pre-college engineering participation among first-year engineering students”,Proc. of the 2014 American Society for Engineering Education Annual Conference, Indianapolis, IN, June 15-18.3. I. Jormanainen, Supporting Teachers Unpredictable Robotics Learning Environment, Dissertation in Forestry and
Inquiry Journal of Research in Science Teaching, 40(5), 487-509.5. National Research Council (NRC), Center for Science, Mathematics, and Engineering Education (1996). National Science Education Standards. Washington, DC: National Academy Press.6. Murphy, D. S., & Sullivan, K. (1997). Connecting Adolescent Girls of Color and Math/Science Interventions Annual Meeting of the Association for Supervision and Curriculum Development (Baltimore, MD, March 22- 25, 1997), 13 pages.7. Navarro, R.L., Flores, L.Y., & Worthington, R.L. (2007). Mexican American Middle School Students’ Goal Intentions in Mathematics and Science: A Test of Social Cognitive Career Theory. Journal of Counseling Psychology, 54(3), 320-335.8
arewilling and able to do just that providing exceptional results and enriching rewards for students. REFERENCES1. Conley, C.H., et al., Teaching Teachers to Teach Engineering-T^ 4E. Journal of Engineering Education, 2000. 89(1): p. 31-38.2. Bell, S., Project-based learning for the 21st century: Skills for the future. The Clearing House, 2010. 83(2): p. 39-43.3. Zeid, A., et al. Capsule: An innovative capstone-based pedagogical approach to engage high school students in stem learning. in ASME 2011 International Mechanical Engineering Congress & Exposition. 2011. Denver, Colorado, USA.4. Zeid, A., et al., CAPSULE: An Innovative Capstone-Based Pedagogical
., Simon P. Jones P., Humphreys S., and Sentence A. (2013), “Bringing computer science back into schools: Lessons from the UK,” presented at ACM Technical Symposium on Computer Science Education (SIGCSE), Denver, Colorado, March.5. http://cs.columbusstate.edu/documents/SITE_Paper.pdf6. Prusaczyk J. and Baker P. (2011), “Improving teacher quality in Southern Illinois: Rural access to mathematics professional development,” Planning and Changing, vol. 42, no. 2, pp. 101-119.7. Moskal B. and Skokan C. (2011), “Outreach programs and professional development activities at the Colorado School of Mines,” Journal of Higher Education Outreach and Engagement, vol. 15, no. 1, pp. 53-75, 2011.8. http://articles.philly.com/2014-01-06
lives, and thevast majority possess large personal libraries and use digital music devices and services. Digitalmusic curricula have been used as positive and educational gateways in public and at-risk highschools in other countries. For example, some British schools host digital music workshopscombining the youth culture of musical “chatting” (British rapping) with music-creationsoftware3. Even before computers were useful tools for creating music, the 1980’s urban Hip-Hop movement provided ways for young people without musical training to compose and createmusic4.Howard Gardener’s theory of multiple intelligences suggests that music may be one way thatchildren relate to the world and learn from their experiences5. Jeanne Bamberger’s research
Illinois School Report Card. Lincoln Junior High School. http: //www.lasalleschools.net/files/filesystem/Lincoln Junior High Report Card.pdf.16. Center for Nanoscale Chemical-Electrical-Mechanical Manufacturing Systems. http://www.nano- cemms.illinois.edu.17. National Alliance for Partnerships in Equity Education Foundation. Stereotypes turn girls off to math and science. www.stemequitypipeline.org/_documents/MythstcchCopywr.pressversion1.pdf.18. Clason, D. L. and Dormody, T.J. Analyzing data measured by individual likert-type items. Journal of Agricultural Education. 35:4. 1994. pp. 31-35. http://pubs.tamu.edu/jae/pdf/Vol35/35-4-31.pdf. Jamison. S. Likert scales: How to (ab)use them. Medical Education: Blackwell
. American Association of University Women. 2000. Tech-Savvy: Educating Girls in the New Computer Age. Washington, DC. AAUW Educational Foundation.11. CIO Insight: Strategies for IT Business Leaders, Women in IT: Where Girls Aren’t, April 2007. Available on-line at http://www.cioinsight.com/article2/0,1540,2110749,00.asp12. Daley, W. Speech of U.S. Commerce Secretary. Delivered at 1998 National Information Technology Workforce Convocation, Berkeley, California, January 12, 1998.13. Dym, C.L., Agogino, A.M., Eris, O., Frey, D.D., and Leifer, L.J., “Engineering Design Thinking, Teaching, and Learning”, J. Engineering Education, pp. 103 – 120, January 2005.14. Conley, C. H., Ressler, S. J., Lenox, T. A., and Samples, J. W., “Teaching
(CAREERaward SES-0846758 and a Graduate Research Fellowship). The authors are also grateful of theefforts of numerous Georgia Tech students who contributed to the camp: Ana Eisenman, JohnPatrick O’Har, Dwayne Henclewood, Alexandre Khelifa, and Greg Macfarlane. Page 25.1138.11Bibliography[1] Luken, B., Hotle, S., Alemdar, M., and Garrow, L.A., “A Case Study: Educating Transportation Engineers with Simulation,” American Society for Engineering Education Conference Proceedings, Vancouver, British Columbia, Canada, 2011. Page 25.1138.12
the recommendations ofthe students in this initial offering. More time will be used to introduce electrical engineeringmeasurement techniques and terminologies. Less classroom time will be used to discuss thefabrication process and this discussion will be moved to the laboratory sessions to fill downtimes during the processing. An overview lecture on electrical engineering will be developed andadded, along with more examples and discussions of electrical engineering job positions andskills. Page 15.745.14 12Bibliography1. www.montana.edu/msse.2. S
engineering activities (Table 4, #5). Participants then engaged inan altered version of the sail engineering activity from Day 1, which we had modified to moreclosely align with Common Core Math Standards for Grade 2 (Table 4, #6). Specificimplementation of the math standards in the activity can be found in Table 7.Participants created a line plot to analyze their data from Day 1 to evaluate the success of thesails they had designed. This activity modeled meaningful integration of math and engineeringand demonstrated s that using math to evaluate the criteria for the success of a design canenhance an engineering activity (addressing Key Component 3).To further model for teachers how we planned the lesson to integrate the CCSS with theengineering
Minority Participation: America’s Scienceand Technology Talent at the Crossroads: Underrepresented minority groups comprised 28.5 percent of our national population in 2006, yet just 9.1 percent of college-educated Americans in science and engineering occupations (academic and nonacademic), suggesting the proportion of underrepresented minorities in S&E would need to triple to match their share of the overall U.S. population. (p. 3) 1The under-representation of minorities as well as females and persons with disabilities is notsimply a demographic problem but also a social justice problem in a society that professes to beegalitarian and democratic 2. As a result of this awareness, efforts have increased to
12ReferencesCrismond, D.P. (unpublished). Contrasting the work of beginning and informed engineering designers in a research-based design strategies rubric.Gassert, J.D. & Milkowski, L. (2005). Using rubrics to evaluate engineering design and to assess program outcomes, ASEE Conference & Exposition.Hynes, M., Portsmore, M., Dare, E., Milto, E., Rogers, C., Hammer, D., & Carberry, A. (Unpublished). Infusing engineering design into high school STEM courses.Koehler, C., Faraclas, E., Sanchez, S., Latif, S.K. & Kazerounian, K. (2005). Engineering frameworks for high hchool setting: Guidelines for technical literacy for high school students, ASEE Conference & Exposition.Massachusetts DOE. (2001). Massachusetts Science
designers. In T. Hewett & T. Kavanagh(Eds.), Creativity and cognition. New York: ACM Press.13 ----- (2004). Expertise in design: An overview. Design Studies, 25(5), 427-441.14 Middleton, H. (2005). Creative thinking, values and design and technology education. International Journal ofTechnology and Design Education, 15, 61-71.15 Ho, C.-H. (2001). Some phenomena of problem decomposition strategy for design thinking: Differences betweennovices and experts. Design Studies, 22, 27-45.16 Ertas, A. & Jones, J. C. (1993) The engineering design process. (2nd ed.). New York: John Wiley & Sons.17 Arora, J. S. (1989). Introduction to optimum design. New York: McGraw-Hill.18 Statnikov, R. B. (1999). Multicriteria design: Optimization
and a Q/A session with camp staff and Department faculty, parents metwith counselors from Admission and a local high school. The meeting’s objective was tointroduce the parents to the plan(s) of study that would best prepare their child for successfulstudies in the STEM disciplines at a major research university. The Associate Dean forUndergraduate Studies was also available for questions and comments. The campers made theirfinal preparations for the Challenge while their parents attended this meeting. Reunited in thelargest of the classrooms for the Challenge, families cheered on their campers as the teamscompeted. Media coverage, both print6 and TV7, of Challenge activities in the second sessionadded to the excitement. An awards and
. International Conference on Engineering Education, Coimbra, Portugal..10. Hawley, W.D., & Valli, L. (1999). The essentials of effective professional development: A new consensus. In L. Page 13.261.17 Darling-Hammond & G. Sykes (Eds.), Teaching as the learning profession: Handbook of policy and practice (pp. 127-150). San Francisco, CA: Jossey-Bass.11. Wenglinsky, H., & Silverstein, S. C. (2006). The science training teachers need. Educational Leadership 64 (4), 24-29.12. Loverude, M., Kautz, C., and Heron, P., Helping students develop an understanding of Archimedes’ principle. American Journal of Physics, Vol. 71
Network Analysis. Harvard: Analytic Technologies.Carroll, P. and P. Steane. 2000. “Public-private partnerships: sectoral perspectives.” In S.P. Osborne (Ed.) Public-Private Partnerships: Theory and Practice in International Perspective. New York: Routledge.Hanneman, Robert A. and Mark Riddle. 2005. Introduction to social network methods. Riverside, CA: University of California, Riverside ( published in digital form at http://faculty.ucr.edu/~hanneman/ )Sirotnic, K.A. and J.I. Goodlad. 1988. School-University Partnerships in Action: Concepts, Cases, and Concerns. New York: Teachers College Press.Wasserman, S. and K. Faust. 1994. Social Network Analysis: Methods and Applications. Cambridge: Cambridge
2006-991: VDP--A MENTOR-FOCUSED MIDDLE SCHOOL OUTREACHPROGRAMEugene Brown, Virginia Tech EUGENE F. BROWN -- Dr. Brown is Professor of Mechanical Engineering at Virginia Tech. He has worked with ONR since 2001 on university-centered Navy work force development issues. He teaches undergraduate and graduate courses in thermodynamics and fluid mechanics and is the author of many papers and reports describing his research in the areas of computational fluid dynamics and aircraft propulsion.Robert Kavetsky, Office of Naval Research ROBERT A. KAVETSKY -- Mr. Kavetsky is currently on assignment to ONR, where he is the director of the N-STAR program, an initiative focused on revitalizing the S&T
sincethe late 1980’s. Our university identified this early in time and initiated the Wright STEPP in Page 11.293.21988 to provide academic enrichment and tuition scholarship to students of the city publicschools who are scholarly, but have financial problems. Wright STEPP targets all 7th through10th grade students in the city public schools. Forty students from the 7th grade are selected eachyear with a minor replacement at the higher grades. Every year, 160 students (40 from eachgrade 7th - 10th) attend this four-week program that operates at our university campus. Thisprogram is in accord with the American Competitiveness and Workforce
gr ag Ag Ag Ag sa isa s ly y tly Di Di D el ht os et
phase of the competition: however, all of the wheels must be carried withthe vehicle for each of the runs (distance, load, speed and stopping) of the competition. Inaddition, the following guidelines were placed on the construction: ‚ The mousetrap mechanism could not be altered or modified. ‚ Only the mousetrap could be used to power the vehicle. ‚ No use of rubber bands or anything elastic to attach from the mousetrap to the Page 11.889.7 axles of the vehicle. ‚ Either axle, or both, may be used as the drive axle(s). ‚ The entire vehicle must start behind the designated
models are used for analyzingand evaluating operational impact of ITS alternatives on traffic flow by adjusting traffic signalsand other ITS controlled variables, based on real-time information to help move traffic at higheraverage speeds and better adhere to schedules. Unlike the other three projects, this projectshowed how computer simulated learning occurs. The teacher was first introduced to the basictheories and fundamentals of traffic simulation by using the Highway Capacity Manual (HCM)-based software as a teaching tool. For selected freeway ramp sites and immediately followingarterial intersection(s) in Cincinnati, the teacher studied the traffic flow in a short segment of thefreeway to understand what variables impact the traffic flow
] Fantz, T., Siller, T., and DeMiranda, M. (2011). Pre-collegiate factors influencing the self-efficacy of engineering students. Journal of Engineering Education, 100(3), 604-623.[5] Hackett, G. (1985). Role of mathematics self-efficacy in the choice of math-related majors of college women and men: A path analysis. Journal of Counseling Psychology, 32(1), 47-56.[6] Jenson, R., Petri, A., Day, A., Truman, K., and Duff, K. (2011). Perceptions of self-efficacy among STEM students with disabilities. Journal of Postsecondary Education and Disability, 24(4), 269-283.[7] Zeldin, A., Britner, S., and Pajares, F. (2008). A comparative study of the self-efficacy beliefs of successful men and women in mathematics, science, and technology
Foundation under GrantNos. 1223868 and 1223460.VIII. References1. International Technology and Engineering Educators Association. Standards for Technological Literacy: Content for the Study of Technology. Publication. 3rd ed. Reston, VA: International Technology Education Association, 2007.2. L. Katehi, G. Pearson and M. Feder, (Eds.), National Academy of Engineering and National Research Council, Engineering in K–12 Education: Understanding the Status and Improving the Prospects, The National Academies Press, Washington, D.C., 2009.3. S. Ellis, Talk to Me, FastPencil Wavecrest, Campbell, CA, 2014.4. K. Egan, An Imaginative Approach to Teaching, Jossey Bass, San Francisco, CA, 2004.5. J.D. Bransford, A.L. Brown and
Page 26.644.18end of camp. This leads to the ability to do paired sample analysis. Here are findings forengineering camps in the summer of 2014. Constructs are formed from multiple questions infour areas of interest, math, science, engineering and technology and 21st Century Skills. Allattitudes tests are paired sample t-tests from pre and post measures of individuals.ElementaryThe S-STEM assessment created by the MISO project3 has four sections, math, science,Engineering/Tech, 21st century skills. Students are asked questions designed to elicit theirattitudes in these areas. A construct composite is made by averaging responses to questions ineach of the four sections. Here answers are averaged for each participant and then pre scoresand
mathematical models or formulas. Groups should be able to calculate important numbers like number of people, cost per house, cost per person, etc. IV. Test the group’s model using the supplied data. Determine which type(s) of housing would make the best solution for the tsunami village. Most effective solutions may have one type of house or different types. Solutions should be designed based on your list of important items.4b. Teams are to brainstorm to find the important characteristics which must be supplied orassumed, the characteristics of an acceptable solution, and useful formulas they may need. Someexamples are given: (number of families) * (cost for one family shelter) = (total cost to house families
depending on the category. Bothpositive and negative student comments were given if both sets of comments existed in thecategory. Some student comments were found to fall into more than one category. If thisoccurred, the comment was coded in both categories.Table 2. Descriptions and examples of categories Category Description Example Statement(s) • [Kind-of interested in the Easy-Stir because] “I’m an artist and I know it had to do with paint and stuff, so…something that I do outside of Chemistry class, Items are