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Kurt Paterson P.E., Michigan Technological University; Chris Swan, Tufts University; Kristine Louise Guzak, Michigan Technological University
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, motivation,and retention rates over time, and examine differences as a result of participating in LTS experi-ences. Self-efficacy and motivation will be evaluated through a survey based on a recent modelfor engineering design self-efficacy18. As the evaluation is performed repeatedly over the three-year project duration, we will have the ability to measure retention in engineering disciplines anduniversity education over time. We will pay particular attention to those underrepresented in en-gineering (i.e., women and minorities). As a summative measure of these indicators, graduatingstudents will also be surveyed for graduation rates (by the fifth year of academic study) and post-baccalaureate activity (e.g. employment, graduate school, type of
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Amy Javernick-Will, University of Colorado, Boulder; Jessica Kaminsky, University of Colorado, Boulder; Cathy Leslie P.E., Engineers Without Borders - USA ; Kaitlin Litchfield, University of Colorado, Boulder
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. As a result, this research will consider an extendedSTEM pipeline that includes both undergraduates and professionals, recognizing the importanceof not only recruiting but also retaining diverse genders in STEM.Social cognitive theory proposes that self-efficacy and expected outcomes form the basis forprofessional identity and motivation. This research will test social cognitive theory as aframework for attracting diverse groups to engineering. Specifically, it proposes thatparticipation in EWB-USA changes the expected outcomes of engineering—from Dilbert to theengineer of 2020. In addition, it provides career scaffolding that helps members navigatecareers. Both of these aspects are hypothesized to be particularly attractive and beneficial
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Larry J. Shuman, University of Pittsburgh; Mary E. Besterfield-Sacre, University of Pittsburgh; Karen M. Bursic, University of Pittsburgh; Natasa S. Vidic, University of Pittsburgh; Nora Siewiorek, University of Pittsburgh
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rubric to assess the re- sultant artifact (general model and specific solution). We have also developed an instrument to measure students’ self-efficacy scale related to their modeling skills.• Assessing the MEA motivated problem solving process: Through the use of various data col- lection tools, including PDAs and wikis, in combination with the mentioned assessment in- struments, we are identifying the various problem solving processes used by the student teams, as well as the range of problems that can be addressed, to determine how effective the various processes are relative to improved conceptual understanding.This paper summarizes our achievements in each of these five activities. Particular emphasis is
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Nathan W. Klingbeil, Wright State University; Karen A. High, Oklahoma State University; Michael W. Keller, University of Tulsa; Ian M. White, University of Maryland; Bradley J. Brummel, University of Tulsa; Jeremy S. Daily P.E., University of Tulsa; R. Alan Cheville, Oklahoma State University; Jennifer Wolk, University of Maryland, College Park
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(NSWCCD). The partnership between University of Maryland andNSWCCD allowed for project mentorship by volunteers from NSWCCD, Lockheed Martin, andby the instructor. Within the scope of the project, students must use mathematical fundamentalsto conduct an engineering design. Examples include calculations for carrying capacity andairfoil selection based on experimentally measured principles of aerodynamics, such askinematic equations of motion, lift, drag, and thrust (Figure UM-1).The inclusion of the design project is motivated by the potential to increase the mathematical andengineering self-efficacy that students receive from the course. It is believed that employing themathematical fundamentals acquired in the course to solve real-world
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Stephen J. Krause, Arizona State University; Jacquelyn E. Kelly, Arizona State University; Dale R. Baker, Arizona State University
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inquiry activities, students withdrawing orreceiving a D or F dropped from 33% to 18%14. These results impact one of the major concernsof engineering education, that of retention. Motivational and affective beliefs that students bringto learning contexts directly affect their persistence and effort15. Two aspects of motivation havebeen shown to impact learning the most. These are the degree to which students think that theyare capable of completing a learning task (self-efficacy)16 and the degree to which they think thatthe activity is valuable to their long term future17, 18. Students interested short-term value of theirlearning are more likely to use strategies that facilitate quick learning, rather than deepunderstanding, and will be less
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Raymundo Arroyave, Texas A&M University; Miladin Radovic, Texas A&M University; Jefferey E. Froyd, Texas A&M University
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Crystallization “ – where students studied crystallization of supersaturated sodium acetate solutions and determined latent heat fusion (also known as enthalpy of fusion).• “Heating Stainless Steel Wire” – where students measured deflection of the steel wire during passing the electrical current through it to detect demonstrate phase transformation form BBC to FCC.• “Synthesis of NiTi Shape Memory Alloys” – where students carried out the synthesis and characterization of the shape memory response of NiTi-based Shape Memory Alloys. Students worked in the laboratory of Prof. Ibrahim Karaman, a faculty in the Department of Mechanical Engineering. Figure 2.• “Heat Treatment: Knife Blade “ – where students investigated the heat treatment necessary to
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Kathleen L. Kitto, Western Washington University; Debra S. Jusak, Western Washington University
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c American Society for Engineering Education, 2012 The iCollaborate MSE Project – 2012AbstractThis paper describes the progress to-date on the various components of the iCollaborateMSE [Materials Science and Engineering] project, as well as the preliminary assessmentdata that has been collected. The overall objectives of the research are to measure ifimprovements in student learning outcomes, student engagement, and course completionrates are possible if the structure in a basic materials engineering course is transformedfrom primarily deductive practice to an Information Communication Technology (ICT)enabled inductive teaching and learning environment. There are two major componentsof this research project. The first