Conference Session

Certifying Teachers in Engineering or Integrated STEM

Collection

2011 ASEE Annual Conference & Exposition

Authors

Stephen O'Brien, College of New Jersey; Suriza VanderSandt, College of New Jersey; Elizabeth Dianne Johnson, College of New Jersey

Tagged Divisions

K-12 & Pre-College Engineering

senior mathe- matics education majors during their student teaching.Dr. Elizabeth Dianne Johnson, The College of New Jersey Page 22.1044.1 c American Society for Engineering Education, 2011 Math anxiety and math teaching beliefs of a K-5 integrated-STEM major compared to other teacher preparation majorsAbstract:In this work math anxiety, math teaching self-efficacy (SE) and math outcomes expectancy(OE) are measured on a large sample of K-5 teacher candidates, where the teacher candidatesvary among several STEM and non-STEM majors. One of the STEM-oriented majors,referred to as the Math

Conference Session

Engineering Professional Development for K-12 Teachers

Collection

2011 ASEE Annual Conference & Exposition

Authors

Hui-Hui Wang, University of Minnesota; Tamara J Moore, University of Minnesota, Twin Cities; Gillian Roehrig, University of Minnesota; Mi Sun Park, University of Minnesota, Twin Cities

Tagged Divisions

K-12 & Pre-College Engineering

in this study. Page 22.1469.8Data analysis The paired sample t-test is a statistical technique that used to compare two populationmeans in the case of two samples that are correlated. Generally, it used when measurements aretaken from the same subject before and after the treatments37. Therefore, to compare the impactof the STEM PD, the paired samples t-test were conducted to analyze the pre and post surveys,teachers’ self-efficacy of teaching science/mathematics within engineering context. On the other hand, in order to standardize the answers of the open-ended question in theEngineering design cycle survey, a coding framework was

Conference Session

High School Engineering Programs, Curriculum, and Evaluation

Collection

2011 ASEE Annual Conference & Exposition

Authors

James C. Baygents, University of Arizona; Jeffrey B. Goldberg, University of Arizona; Jane Hunter, University of Arizona

Tagged Divisions

K-12 & Pre-College Engineering

Engineering Self-Efficacy (LAESE) — High School Version survey is theprimary instrument for evaluating student self-efficacy, feelings of inclusion and outcomesexpectations.10 The LAESE undergraduate instrument has been tested and validated on male andfemale engineering students and measures self-efficacy of undergraduate students studyingengineering or high school students. 10 LAESE survey instruments are available through theAssessing Women and Men in Engineering web-site: www.AWEonline.org. LAESE covers thefollowing aspects of self-efficacy:10 • Student efficacy in “barrier” situations • Outcomes expected from studying engineering • Student expectations about work load • Student process of choosing a major • Student coping

Conference Session

Research Related to Learning and Teaching Engineering in Elementary Classrooms

Collection

2011 ASEE Annual Conference & Exposition

Authors

Jeremy V. Ernst, North Carolina State University; Laura Bottomley, North Carolina State University; Elizabeth A. Parry, North Carolina State University; Jerome P. Lavelle, North Carolina State University

Tagged Divisions

K-12 & Pre-College Engineering

assess science understanding, engineering and designunderstanding, identify STEM attitudes, engineering self-efficacy, and student assessment ofteacher effectiveness. This was accomplished through an online survey format. The STEMcoordinator was sent a survey link for the students, the STEM coordinator prepared eachcomputer in the school laboratory (accessed the link on each computer), students completed theassessments and surveys, the students clicked “submit” and the results were made accessible tothe researchers in coded format. The pre-assessment of the Understanding Engineering Designinstrument was administered January 20, 2010, and the post-assessment was administered April14, 2010. The pre-assessment of the Understanding of Science

Conference Session

Assessment and Evaluation of K-12 Engineering Programs

Collection

2011 ASEE Annual Conference & Exposition

Authors

Elizabeth Dell, Rochester Institute of Technology; Margaret B. Bailey, Rochester Institute of Technology; Shauna O'Hurley, Rochester Institute of Technology; Robert P. Lillis, Evalumetrics Research; Betsy Khol, Women in Engineering; Robert D. Garrick, Rochester Institute of Technology; Jeanne Christman, Rochester Institute of Technology

Tagged Divisions

Engineering and Public Policy, K-12 & Pre-College Engineering

identified for various components of the logic model. Interest in science, attitudesrelated to interest, e.g. gender bias, and self-efficacy can be measured with surveys and one-on-one or focus group interviews.20,21 Commitment to science education and/or careers cangenerally not be observed or measured within the time and resource restraints of the program.However, social scientist often use “behavioroid” measures, that is, a measure of commitmentthat more than an expressed attitude but not an immediately observed behavior.22 Unlikeattitudinal measures, e.g. checking yes to a survey item, “I would like to attend more scienceeducation”, behavioroid measures entail a commitment to a behavior such as signing up for anactual future training.The

Conference Session

Engineering as the STEM Glue

Collection

2011 ASEE Annual Conference & Exposition

Authors

Joan Barth, University of Alabama; Debra M. McCallum, University of Alabama; Beth Todd, University of Alabama; Rosanna E. Guadagno, University of Alabama; Beverly Roskos, University of Alabama; Carmen Burkhalter, University of Alabama; Marion J Goldston, University of Alabama

Tagged Divisions

K-12 & Pre-College Engineering

science, but also students’ self-perceptions of their abilities (e.g., self concept, efficacy,expectations for success) and their interest in math and science. Models of academicachievement and occupation choices 2,4,7 suggest that self-perceptions and expectations forsuccess are the more proximal predictors of academic and career choices. In fact they are betterpredictors than actual achievement indicators such as math and science grades. Efficacy beliefsare also strong predictors of adaptation and change as well as academic aspirations, level ofmotivation and resilience.2 For these reasons, we examine students’ self efficacy and interest inmath and science as our primary measures of academic outcomes post-transition.To summarize, the purpose of

Conference Session

High School Engineering Programs, Curriculum, and Evaluation

Collection

2011 ASEE Annual Conference & Exposition

Authors

David R. Shields P.E., University of Nevada, Las Vegas; Krishna Prasad Kisi, University of Nevada Las Vegas

Tagged Divisions

K-12 & Pre-College Engineering

), 335-38.8. Hutchison, M. A., Follman, D.K., Sumpter, M., and Bodner, G.M. (2006). Factors influencing the self- efficacy beliefs of first-year engineering students. Journal of Engineering Education, 96(1), 39-47.9. Yurtseven, H.O. (2002). How does the image of engineering affect student recruitment and retention? A perspective from the USA. Global Journal of Engineering Education 6 (1), 17-23.10. Li, Q., McCoach, D.B., Swaminathan, H., and Tang, J. (2008). Development of an instrument to measure perspectives of engineering education among college students. Journal of Engineering Education 97(1), 47-5611. CCSD Fast Facts 2009-10. Clark County School District, http://ccsd.net/news/publications/pdf/CCSDFastFacts.pdf

Conference Session

High School Engineering Programs, Curriculum, and Evaluation

Collection

2011 ASEE Annual Conference & Exposition

Authors

Heath Tims, Louisiana Tech University; Krystal S Corbett, Louisiana Tech University; Galen E. Turner III, Louisiana Tech University; David E. Hall, Louisiana Tech University

Tagged Divisions

K-12 & Pre-College Engineering

a seven-segment LED numberdisplay. As students’ intuition for electricity develops, they are introduced to the couplingsbetween electric current and magnetic fields through projects involving motors and speakers.Other projects discussed in this paper include trusses (vectors and forces), servo efficiency(energy conversion), accelerometers (programming, vectors and gravity), homemade guitars(waves and sound), solar ovens (energy and heat), and digital cameras (gravity and projectilemotion).The central focus of the NASA-Threads curriculum is to tie fundamental STEM topics tointeresting applications. This paper documents a selection of our major projects and alsoprovides data related to teacher self-efficacy for a summer 2011 workshop that

Conference Session

Engineering Education Research in K-12

Collection

2011 ASEE Annual Conference & Exposition

Authors

Gamze Ozogul, Arizona State University; Martin Reisslein, Arizona State University; Amy Marcelle Johnson, University of Memphis

Tagged Divisions

Educational Research and Methods, K-12 & Pre-College Engineering

-427.[14] Dunsworth, Q., & Atkinson, R. K. (2007). Fostering multimedia learning of science: Exploring the role of an animated agent’s image. Computers and Education, 49, 677-690.[15] Yung, H.I. (2009). Effects of an animated pedagogical agent with instructional strategies in multimedia learning, Journal of Educational Multimedia and Hypermedia. 18(4), 453-466.[16] Murray, M., & Tenenbaum, G. (2010). Computerized pedagogical agents as an educational means for developing physical self-efficacy and encouraging activity in youth. Journal of Educational Computing and Research. 42(3), 267-283.[17] Moreno R., Reisslein, M., & Ozogul, G. (2010). Using virtual peers to guide visual attention during learning: A test

Conference Session

Certifying Teachers in Engineering or Integrated STEM

Collection

2011 ASEE Annual Conference & Exposition

Authors

Yvonne Ng, St. Catherine University; Lori R. Maxfield, Saint Catherine University

Tagged Divisions

K-12 & Pre-College Engineering

foundations: Having the general understanding of scientific knowledge, the ability to find new science knowledge as required, ability to quantitatively evaluate situations in order to make an informed decision.8 A minimal level is required to be able to start engineering programs in the first year of college (“engineering eligible”).19 ● Belief in competence: The belief that one can succeed in the chosen area. This belief in self, or self-efficacy, influences a student’s career decisions.16 Self-efficacy is important in persistence in engineering and can be positively influenced if experiences allow students to reflect on what they have accomplished and see how that can influences their future success

Conference Session

Robot Mania!

Collection

2011 ASEE Annual Conference & Exposition

Authors

Austin Talley, University of Texas, Austin; Richard H. Crawford P.E., University of Texas, Austin; Christina Kay White, Columbia University; Kristin L. Wood, University of Texas, Austin

Tagged Divisions

K-12 & Pre-College Engineering

mentionthat the opportunity to work on this as an “individual” designer and then together on“team builds during the final project” are the most helpful construction experiences.3.1.8 Guided and Independent BuildingThe scaffolding of the construction curriculum components is meant to meet the needs ofa novice builder by providing exposure, support, and improved self efficacy while alsoinspiring and engaging an experienced builder. There are guided build instructions andoptions to build independently from scratch. Participants found both important and someparticipants had completely different views. One participant states that “[t]he mosthelpful to me were the ones that were prescribed, versus having complete freedom,”supporting the need for guided

Conference Session

Engineering Education Research in K-12

Collection

2011 ASEE Annual Conference & Exposition

Authors

Karen A. High, Oklahoma State University; Melanie C. Page, Oklahoma State University; Julie Thomas, Oklahoma State University

Tagged Divisions

Educational Research and Methods, K-12 & Pre-College Engineering

). Unlocking the clubhouse: Women in computing. Cambridge: MIT Press.8. Dweck, C.S. (2007). Is math a gift? Beliefs that put females at risk. In S.J. Ceci & W.M. Williams (Eds.),Why aren’t more women in science? Top researchers debate the evidence (pp. 47-55). Washington, DC: American Psychological Association.9. Pajares, F. (2005). Gender differences in mathematics self-efficacy beliefs. In A.M. Gallagher, & F. Pajares (Eds.), Gender differences in mathematics: An integrative psychological approach (pp. 294-315). New York: Cambridge University Press.10. Fryberg, S.A., Markus, H.R., Oyserman, D., & Stone, J.M. (2008). Of warrior chiefs and Indian princesses: The psychological consequences of American Indian mascots

Conference Session

Broadening Participation of Minority Students in and with K-12 Engineering

Collection

2011 ASEE Annual Conference & Exposition

Authors

Katherine C. Chen, California Polytechnic State University; Lizabeth T. Schlemer, California Polytechnic State University; Heather Scott Smith, California Polytechnic State University; Teana Fredeen, California Polytechnic State University

Tagged Divisions

K-12 & Pre-College Engineering, Minorities in Engineering

different from the last two ranked traits (“writes neatly” and “draws well”). Whattraits students believe are to be important and their confidence or self-efficacy of them may playa role in whether they choose to pursue engineering.Figures 6. Average ranking of traits in terms of importance to being a successful engineer.The high school or middle school student probably has a limited understanding of the professionof engineering. Throughout the camp, the students were told that creativity and innovation areimportant factors in engineering design. This seemed to contribute to the students understandingof engineering as a multifaceted profession. The summary of the questions and how the answerschanged after the camp are in Figure 7. These were

Conference Session

Certifying Teachers in Engineering or Integrated STEM

Collection

2011 ASEE Annual Conference & Exposition

Authors

Stephen O'Brien, College of New Jersey

Tagged Divisions

K-12 & Pre-College Engineering

preparation programs at our institution. We believe thelevel of mathematical content is high compared to similar programs elsewhere. We are of theopinion that the multidisciplinary nature of our programs (all four elements of STEM) arebeneficial. Preliminary course surveys and measurements of math anxiety and teaching self-efficacy indicate that the integrated STEM teacher candidates do experience substantialimprovements over the course of their curriculum.IntroductionOur institution supports two Science, Technology, Engineering and Mathematics (STEM)teacher preparation programs. One program, referred to as the Math/Science/Technology(MST) program, is an elementary [preK-5] program and was started in 1998. The secondprogram is a secondary 6-12

Conference Session

Extending a Hand Back: Older Students Inspiring Younger Students

Collection

2011 ASEE Annual Conference & Exposition

Authors

Noah Salzman, Purdue University; Johannes Strobel, Purdue University, West Lafayette

Tagged Divisions

K-12 & Pre-College Engineering

Virginia Tech 24-26 workboth directly with FIRST robotics teams as mentors and develop technologies to help teachrobotics concepts to high school FIRST participants. Students from multiple high schools Page 22.1082.5participate in an evening class for elective credit taught by high school teachers and assisted byVirginia Tech students. The program is coordinated by faculty members from MechanicalEngineering and Education. Although not explicitly studied, Kasarda et al. 26 suggest that thisprogram facilitates the development of self-efficacy through mastery experiences in the contextof the mentoring program.Students from Michigan Tech also work with

Conference Session

Research and Models for Professional Development

Collection

2011 ASEE Annual Conference & Exposition

Authors

Cher C. Hendricks, Georgia Institute of Technology; Barbara Burks Fasse, Georgia Institute of Technology; Donna C. Llewellyn, Georgia Institute of Technology

Tagged Divisions

K-12 & Pre-College Engineering

Conference Session

Integrating Technical Research into Professional Development and K-12 Classrooms

Collection

2011 ASEE Annual Conference & Exposition

Authors

John D. Carpinelli, New Jersey Institute of Technology; Howard S. Kimmel, New Jersey Institute of Technology; Linda S. Hirsch, New Jersey Institute of Technology; Levelle Burr-Alexander, New Jersey Institute of Technology; Kwabena A. Narh, New Jersey Institute of Technology; Rajesh N. Davé, New Jersey Institute of Technology

Tagged Divisions

K-12 & Pre-College Engineering

teachers indicated that they knew at least one of theirstudents was considering studying engineering in college. Teachers’ responses to the 27 items Page 22.1552.14on the survey that measure attitudes toward engineering averaged 4.2 before the summer beganwith a small increase to 4.4 by the end of the summer. Once school started all 13 teachers agreed“If a student excels in mathematics and\or science, I suggest engineering as a possible career.”Engineering Preparation Self-efficacy: Before their research experience began, most teacherswere not very well informed about how to help prepare their students to consider engineering asa possible career

Conference Session

Research Related to Learning and Teaching Engineering in Elementary Classrooms

Collection

2011 ASEE Annual Conference & Exposition

Authors

Pamela S. Lottero-Perdue, Towson University

Tagged Divisions

K-12 & Pre-College Engineering

no supervisory responsibilities or mentoring roles, and instead, wereasked to plan and teach collaboratively with the preservice teachers. The preservice teachers’involvement significantly increased the extent to which hands-on, inquiry-based instruction inscience occurred in the classroom, increasing measures of children’s learning of and enjoymentof science as compared to a non-co-taught control group. These positive student outcomes maybe attributed in part, suggested the authors, “to enhanced [classroom] teacher confidence ininvestigative science and technology teaching as a result of their work with the science specialiststudents.” 20Context & Participants The 36 teachers involved in the present study—including 15 3rd grade