Conference Session

Principles of K-12 Engineering Education and Practice

Collection

2014 ASEE Annual Conference & Exposition

Authors

Monica E Cardella, Purdue University, West Lafayette; Ming-Chien Hsu, Purdue University, West Lafayette; George D Ricco, Purdue University, West Lafayette

Tagged Divisions

K-12 & Pre-College Engineering

multiple reason for this, the first and foremost is that the quantile rank itself is a useful diagnostic tool that will allow the researcher to determine whether or not a logarithmic or other fit is useful for the student data. Depending on the nature of the research and the exam itself, one may choose to use the quantile as an indicator that a Q-Q plot should be used next. Quantile distribution functions themselves can take many forms, for example, the exponential quantile takes the form, log ! (1 − 𝑥) 𝑄 𝑥, 𝑦 = − 𝑦 Where, x is greater than 0 and less than 1. Using a simple quantile

Conference Session

K-12 and Pre-College Engineering Division Curriculum Exchange

Collection

2014 ASEE Annual Conference & Exposition

Authors

Christine Schnittka, Auburn University

Tagged Divisions

K-12 & Pre-College Engineering

FerretsMinogue (Eds.) Achieving science and schnittka@auburn.edutechnological literacy through engineeringdesign. New York: Springer. www.auburn.edu/~cgs0013 Page 24.348.212 Q&A What do kids do? Save the Penguins has youth

Conference Session

K-12 and Precollege Engineering Curriculum and Programming Resources, Part 2 of 2

Collection

2014 ASEE Annual Conference & Exposition

Authors

Brandon Gregory Morton, Drexel University ; Youngmoo Kim, Drexel University; Matthew Nester VanKouwenberg; Chris Lehmann, Science Leadership Academy; Jessica S. Ward, Drexel University

Tagged Divisions

K-12 & Pre-College Engineering

’. Students were asked to demonstrate this knowledge by asking themto transform the graphs given different criteria, such as a change in volume, which is associatedwith amplitude, or a change in pitch, which is related to frequency.RSA Algorithm ActivityIn this activity, one of the most commonly used algorithms for encryption was presented to thestudents. The RSA algorithm uses large prime numbers to encrypt information and is based onthe idea that it is difficult to factor a large number into two prime numbers. Students were firstshown a presentation where they were guided through an example of encrypting informationusing the algorithm. The steps involved in this are shown below and more details can be foundonline4.1. Find two prime numbers p and q

Conference Session

K-12 Engineering Resources: Best Practices in Curriculum Design, Part 1 of 2

Collection

2014 ASEE Annual Conference & Exposition

Authors

Sara Hahler, Louisiana Tech University; Krystal S. Corbett, Cyber Innovation Center

Tagged Divisions

K-12 & Pre-College Engineering

commercially developed high school mathematics curriculum forintense college mathematics coursework. Journal of Experimental Education, 80(1), 2012, pp.96-112.[3] Varsavksy, C. Chances of success in and engagement with mathematics for students whoenter university with a weak mathematics background. International Journal of MathematicalEducation in Science & Technology, 41(8), 2010, pp. 1037-1049.[4] National Center for Education Statistics (NCES). The condition of education 2004. Education Statistics Quarterly, 6(1/2). Washington, DC, 2004: Retrieved from http://nces.ed.gov/programs/quarterly/vol_6/1_2/7_1.asp[5] Aung, K., Underdown, R. Qian, Q. “K-12 Engineering Education:Priorities, Research.Themes, and Challenges,” Proceedings of theAmerican

Conference Session

K-12 Outreach and Out-of-School Time Engineering Programming and Research

Collection

2014 ASEE Annual Conference & Exposition

Authors

Erin Jablonski, Bucknell University; Margot A. Vigeant, Bucknell University

Tagged Divisions

K-12 & Pre-College Engineering

9 12 COLOR CODE KEY 2:45 All Campers Juniors MOVE IN 3:00 Seniors Rookies 3:15 CAMPUS TOUR 2 4 1 6 8 5 10 19 17 16 25 21 20 3:30 3:45 Q&A 4:00 4:15-4:304:30 - 5:30 DAILY RECREATIONAL ACTIVITIES dinner 7:30

Conference Session

Diversity in K-12 and Pre-college Engineering Education

Collection

2014 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

and Braun (2010) observed that many dyslexicstudents innately approach problems from a three-dimensional perspective2. So when a dyslexicstudent is presented with an unfamiliar object, he may have a natural ability and predisposition toexamine the object from various angles and perspectives in his mind, without ever movinghimself or the object. The ability to reason three-dimensionally may lead a dyslexic student to beable to view the opposite side of an object in his mind, based on observations concerning thefront of the object and his previous knowledge. This special reasoning skill is extremely usefulin engineering. Language, however, is two-dimensional; the tendency to reason in threedimensions can lead a “b” to look like a “d”, “p” or “q

Conference Session

Addressing the NGSS, Part 1 of 3: Supporting K-8 Science Teachers in Engineering Pedagogy and Engineering-Science Connections

Collection

2014 ASEE Annual Conference & Exposition

Authors

So Yoon Yoon, Texas A&M University; Yi Kong, Purdue University, West Lafayette; Heidi A. Diefes-Dux, Purdue University, West Lafayette; Johannes Strobel, Texas A&M

Tagged Divisions

K-12 & Pre-College Engineering

–52.28. Patton, M. Q. (2002). Qualitative evaluation and research methods (3rd ed.). Newbury Park, CA: Sage.29. Thomas, D. R. (2006). A general inductive approach for analyzing qualitative evaluation data. American Journal of Evaluation, 27, 237-246. Page 24.461.14

Conference Session

K-12 and Pre-college Engineering: Research on Teachers' Perceptions, Attitudes and Impacts of Teacher PD

Collection

2014 ASEE Annual Conference & Exposition

Authors

Cathy P. Lachapelle, Museum of Science; Jonathan D Hertel, Engineering is Elementary, Museum of Science, Boston; Muhammad Faiz Shams, Museum of Science - EiE; Chris San Antonio, Museum of Science, Boston; Christine M Cunningham, Museum of Science

Tagged Divisions

K-12 & Pre-College Engineering

Structural Equations Modeling,” Manag. Inf. Syst. Q., vol. 22, no. 1, p. 14, Mar. 1998.[8] S. J. Finney and C. DiStefano, “Non-Normal and Categorical Data in Structural Equation Modeling,” in Structural Equation Modeling: A Second Course, United States of America: Information Age Publishing, Inc., 2006, pp. 269 – 314.[9] C. M. Cunningham and C. P. Lachapelle, “The impact of Engineering is Elementary (EiE) on students’ attitudes toward engineering and science,” in ASEE Annual Conference and Exposition, Louisville, KY, 2010.[10] IBM Corporation, IBM SPSS Statistics for Windows. Armonk, NY: IBM Corporation, 2012.[11] L. K. Muthén and B. O. Muthen, Mplus. Los Angeles, CA: Muthén & Muthén, 2012.[12] D. Hooper, J. Coughlan, and M. R