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- Evaluation: Exploring the Impact of Summer Programs on K-12 Youth.
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- 2015 ASEE Annual Conference & Exposition
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Christine Burwell-Woo, Cañada College; Ray Lapuz, Canada College; Tracy Huang, Cañada College; Nicholas Langhoff, Canada College
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K-12 & Pre-College Engineering
Area developed theSTEM Institute, a three-week program for current high school freshmen and sophomoresinterested in exploring Science, Technology, Engineering and Math (STEM). The programintroduces STEM through experiential learning using hands-on/real-world projects,classroom/lab instruction, speakers, on-campus field trips and workshops in five STEM fields ofstudy.This paper describes the evolution of the STEM Institute, including challenges encountered andstrategies employed to overcome those challenges. It also examines the effect that the programhad on student interest and self-efficacy in STEM, employing non-parametric statistical tests tocompare repeated measurements of student interest and self-efficacy. Program impact on thesubject
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- Fundamental: K-12 Students' Beliefs, Motivation, and Self-efficacy
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- 2015 ASEE Annual Conference & Exposition
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Kerrie A Douglas, Purdue University, West Lafayette; So Yoon Yoon, Texas A&M University; Mariana Tafur-Arciniegas P.E., Purdue University, West Lafayette; Heidi A. Diefes-Dux, Purdue University, West Lafayette
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, respectively from Purdue University. Her work centers on P-16 engineering education research, as a psychometrician, program evaluator, and institutional data analyst. As a psy- chometrician, she revised the PSVT:R for secondary and undergraduate students, developed the TESS (Teaching Engineering Self-efficacy Scale) for K-12 teachers, and rescaled the SASI (Student Attitudi- nal Success Inventory) for engineering students. As a program evaluator, she has evaluated the effects of teacher professional development (TPD) programs on K-6 teachers’ and elementary students’ attitudes to- ward engineering and STEM knowledge. As an institutional data analyst, she is investigating engineering students’ pathways to their success
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- Research to Practice: STRAND 5 Other Topics in K-12 Engineering Education.
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- 2015 ASEE Annual Conference & Exposition
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Shaobo Huang, South Dakota School of Mines and Technology; Cassandra M Birrenkott, South Dakota School of Mines and Technology; Marius D Ellingsen, South Dakota School of Mines and Technology; Mark David Bedillion, South Dakota School of Mines and Technology; Karim Heinz Muci-Kuchler, South Dakota School of Mines and Technology
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Figure 1. Team of students trying to complete one of the tasks (picking up an object formthe bottom of the water tank and bringing it to the surface) of the design competition.Metric developmentThere is a need for specific metrics to measure the impact of outreach activities on high schoolstudents’ attitudes toward STEM disciplines. Meta-analysis of the literature on students’transition from secondary to post-secondary education reveals the following measures as theprimary factors that impact students’ perspectives of STEM disciplines 8-9, 20-24. Self-efficacy: The belief that one can persist in STEM disciplines, overcome obstacles, stress and failures, and achieve competencies to fulfill the requirements of a STEM curriculum
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- Fundamental: Metrics & Assessment for K-12 Engineering Education
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- 2015 ASEE Annual Conference & Exposition
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Jessica M Harlan, University of South Alabama; James Van Haneghan, University of South Alabama; Melissa Divonne Dean, Mobile Area Education Foundation; Susan A. Pruet, STEMWorks, LLC
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K-12 & Pre-College Engineering
).Table 6Comparison of Means for STEM Confidence by Gender and School Gender School M Participating 3.67 Girls Comparison 3.61 Participating 3.84 Boys Comparison 3.35Our last two attitude scales examined student STEM self-efficacy. Exploratory factor analysisindicated that our self-efficacy items measured two dimensions: math and science self-efficacy;and engineering and technology self-efficacy. Math and science efficacy were measured using a4-item scale (α = .77) with responses ranging from 1 (not at all) to 4 (almost all of
- Conference Session
- Evaluation: Exploring High School Engineering Education Initiatives
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- 2015 ASEE Annual Conference & Exposition
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Jacob L. Segil, University of Colorado at Boulder; Brian Huang, Sparkfun Electronics; Beth A Myers, University of Colorado Boulder; Lindsay Diamond, SparkFun Electronics
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smallerteams ensure that each student will have more experience using each piece of hardware andhopefully promote self-efficacy and self-directed learning for high school students.The software involved in the course was revised to use open-source programs. Students will beusing the Arduino programming environment to interface with the SparkFun products. Thissoftware package has been, and will always be, an open source format with extensive librariesand example code provided. The computer aided design software used in the existing collegiatecourse was a proprietary software package called Solidworks (Dassault Systems, Inc.) but wasrevised for the new curricular implementations to an open source CAD software package calledSketchUp (Trimble Navigation
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- Fundamental: Metrics & Assessment for K-12 Engineering Education
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- 2015 ASEE Annual Conference & Exposition
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Cathy P. Lachapelle, Museum of Science; Yoonkyung Oh, Pennsylvania State University; Muhammad Faiz Shams, Museum of Science; Jonathan D Hertel, EiE/Museum of Science; Christine M Cunningham, Museum of Science
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realistic Page 26.848.2problems. Engaging in PBL is challenging for both teachers and students, but when compared totraditional learning methods, has been shown to lead to improved attitudes, self-efficacy, andlearning gains on both traditional subject matter and problem-solving skills11. Underrepresentedminorities specifically have also been found to benefit in these ways from PBL curricula andtraining for their teachers12.Efficacy StudyThe intent of an efficacy study is to test whether an educational innovation, implemented underideal conditions, has a causal effect on student outcomes13. Resources should be ample andfidelity carefully monitored
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- Research to Practice: STRAND 3 – Principles of K-12 Engineering Education and Practice
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- 2015 ASEE Annual Conference & Exposition
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Jonathan R Zubarriain, Vaughn College of Aeronautics and Technology; Nicholas Kumia, Vaughn College of Aeronautics and Technology; Shouling He, Vaughn College of Aeronautics & Technology
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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
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- Evaluation: Exploring High School Engineering Education Initiatives
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- 2015 ASEE Annual Conference & Exposition
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Roxanne Moore, Georgia Institute of Technology; Meltem Alemdar, Georgia Institute of Technology; Sunni H. Newton, CEISMC; Jeffrey H Rosen, Georgia Institute of Technology; Marion Usselman, Georgia Institute of Technology; Stefanie A Wind, Georgia Institute of Technology
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modified from severalvalidated instruments related to the 21st Century Skills listed above 33, 34. In addition to 21stCentury Skills, student engagement and self- efficacy were also measured. This instrument,developed by researchers at Georgia Tech for this project, included forty-five items on a 5-pointLikert-type rating scale (e.g., ranging from “Strongly Agree” to Strongly Disagree”), with aCronbach’s α of 0.91, and internal consistency for each of the five scales ranging from 0.84 to0.95. Engineering design portfolio assessment. In addition to affective data, studentachievement data were collected using an engineering design portfolio assessment (EDPA). Foreach project, students used a digital log to document their progress through the
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- K-12 & Pre- College Engineering Division Poster Session
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- 2015 ASEE Annual Conference & Exposition
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Rosalyn Hobson Hargraves, Virginia Commonwealth University; LaChelle Monique Waller, Virginia Commonwealth University
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• University students’ perceptions • Students • TeachersPopulation • Parents and caregivers • Principals • Constructivism (Constructionism, Guided Inquiry, CommunitiesInforming Theory of Practice) • Self-efficacy • National and State Mathematics, Science and TechnologyStandards Addressed • Massachusetts Technology/Engineering Page 26.625.3Several examples measured how informal STEM educational