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Conference Session
Curriculum Development
Collection
2013 ASEE Annual Conference & Exposition
Authors
Gabriella J Ducamp, University of Virginia; Crystal Jean DeJaegher, University of Virginia
Tagged Divisions
K-12 & Pre-College Engineering
that is known to have properties such as being symmetrical (no skew) and kurtosis (clustering near the tails of the distribution) of zero. Examining normal Q-Q plots gives an indication of normality. Freidman’s ANOVA is a non-parametric test of whether more than two related groups differ that could compensate for non-normality. However, there are only two treatment groups in this study, so it cannot be performed if the assumption of normality is violated. Page 23.731.9INCORPORATING ENGINEERING IN MIDDLE SCHOOL SCIENCE 9 3. Homogeneity of variance is the
Conference Session
Outreach to K-12 Females
Collection
2013 ASEE Annual Conference & Exposition
Authors
Muhittin Yilmaz, Texas A&M University-Kingsville (TAMUK); Nuri Yilmazer, Texas A&M University, Kingsville; Eusebio Cuellar Torres, Texas A&M University-Kingsville; Tamara Denise Guillen, Texas A&M University-Kingsville
Tagged Divisions
K-12 & Pre-College Engineering
. Furthermore, the notebook and postercompetition scores demonstrated superior subject comprehension by student teams. Table 4. The GEMS Camp STEM Outreach Effectiveness Engineering 17 Q: Because of my participation in GEMS, I would like Chemistry 6 to pursue a degree in: Mathematics 3 Strongly Agree 10 Agree 12 Q: My participation
Conference Session
CEIII Wrapup
Collection
2013 ASEE Annual Conference & Exposition
Authors
Austin Bates Talley, University of Texas, Austin; Richard H. Crawford, University of Texas, Austin; Christina Kay White, University of Texas, Austin
Tagged Divisions
K-12 & Pre-College Engineering
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Conference Session
K-12 and Pre-College Engineering Poster Session
Collection
2013 ASEE Annual Conference & Exposition
Authors
Peter Thomas Malcolm, University of Virginia
Tagged Divisions
K-12 & Pre-College Engineering
Visualization Test. After completing the mental rotations test, students usedthe 3D Estimator to estimate the volume of six shapes, as in Study 1. In this study, each estimatethat a student entered was recorded and stored in the database.Analysis and Results The first research question was: Do measurement estimations of one-dimensional aspectsand computational estimations of three-dimensional volume represent distinct, separableknowledge components (KCs)? Determining distinct KCs for the 3D Estimator task requires theuse of a learning factors analysis (LFA) and the iterative process of determining q-matricesdescribed by 4. The analysis shows whether a smooth learning curve exists for a given KC.Smooth curves mean that the entire set of
Conference Session
Computational/CS Initiatives
Collection
2013 ASEE Annual Conference & Exposition
Authors
Eric A Freudenthal, University of Texas, El Paso; Kien H. Lim, University of Texas at El Paso; Sharie Kranz, Coronado HS-EPISD; Catherine Tabor, El Paso ISD and University of Texas at El Paso; Jeremy L Ramirez, University of Texas at El Paso
Tagged Divisions
K-12 & Pre-College Engineering
change - A preparation for Calculus (3rd ed.). Wiley.12. Freudenthal, E., Roy, M. K., Ogrey, A. N., and Gates, A. Q. (2009). A creatively engaging introductory course in Computer Science that gently motivates exploration of mathematical concepts. (AC 2009-2188). Proceedings of ASEE Annual Conference.13. Freudenthal, E., Roy, M. K., Ogrey, A., Magoc, T., & Siegel, A. (2010). Media Propelled Computational Thinking. Proceedings of the 41st ACM technical symposium on Computer Science (pp. 37-42). New York: ACM.14. Freudenthal, E., Ogrey, A., & Gonzalez, R. (2010). Work in progress – Eliciting integrated understandings of high school STEM curricula through programming. Frontiers in Education Conference (FIE
Conference Session
Supporting Diversity in Engineering
Collection
2013 ASEE Annual Conference & Exposition
Authors
Lyndsey Alyssa Wright, Colorado School of Mines; Barbara M. Moskal, Colorado School of Mines
Tagged Divisions
K-12 & Pre-College Engineering
students naturally use three-dimensionalreasoning as a technique for problem solving. When dyslexic students encounter a problemsolving situation, they naturally change their three-dimensional perspective and examine theproblem from various angles without shifting their observation point. Many dyslexic studentsspin an object mentally without needing to alter how they are viewing that object. This skill ofshifting perspectives is useful and effective in physical science; however, in two-dimensionallanguage, changing a three dimensional perspective can result in a “b” looking like a “d”, “p” or“q”, depending on the angle at which the object is viewed. It is possible that the reasoning skillthat results in language challenges for the dyslexic student
Conference Session
K-12 Professional Development II
Collection
2013 ASEE Annual Conference & Exposition
Authors
So Yoon Yoon, INSPIRE, Purdue University, West Lafayette; Yi Kong, Purdue University, West Lafayette; Heidi A. Diefes-Dux, Purdue University, West Lafayette; Johannes Strobel, Purdue University, West Lafayette
Tagged Divisions
K-12 & Pre-College Engineering