July 26–30, 2014
        
        
          61
        
        
          
            Monday afternoon
          
        
        
          that illustrate some of the difficulties that students have with superposition.
        
        
          We also discuss how the results have guided the design of a lecture-tutorial
        
        
          that improves student understanding both immediately and months after
        
        
          instruction.
        
        
          BE04:
        
        
          2-2:10 p.m.    Assumptions and Idealizations in Students’
        
        
          Reasoning During Laboratory Activities
        
        
          Contributed – Benjamin M. Zwickl, Rochester Institute of Technology, Roch-
        
        
          ester, NY 14623-5603;
        
        
        
          Dehui Hu Rochester, Institute of Technology
        
        
          Noah Finkelstein, H. J. Lewandowski, University of Colorado Boulder
        
        
          Assumptions and idealizations play a significant role in developing and
        
        
          applying models to real-world situations. Assumptions make models more
        
        
          tractable, but also impact the design of experiments (through the introduc-
        
        
          tion of possible sources of systematic error) and limit the range of validity
        
        
          of predictions. In this investigation, students conducted a think-aloud
        
        
          laboratory activity using LEDs. Videos were coded and analyzed using
        
        
          a framework developed for model-based reasoning designed for upper-
        
        
          division physics laboratory classes. The analysis focuses on multiple roles
        
        
          of assumptions within the activity: making, recognizing, and justifying as-
        
        
          sumptions; linking assumptions to limitations of the validity of theoretical
        
        
          predictions and measured results; and using knowledge of assumptions to
        
        
          iteratively improve experimental results.
        
        
          BE05:
        
        
          2:10-2:20 p.m.    Student Learning of Critical Circuits
        
        
          Concepts in Physics and Engineering*
        
        
          Contributed – Kevin Van De Bogart, University of Maine, Orono, ME 04469;
        
        
        
          MacKenzie Stetzer, University of Maine
        
        
          As part of a new effort to investigate the learning and teaching of concepts
        
        
          in thermodynamics and electronics that are integral to both undergradu-
        
        
          ate physics and engineering programs, we have been examining student
        
        
          learning in electrical engineering and physics courses on circuits and
        
        
          electronics. Due to the considerable overlap in the content coverage, we
        
        
          have been able to administer the same (or similar) questions to students in
        
        
          both disciplines. A major goal of this work is to investigate the impact of
        
        
          disciplinary context on the nature of student understanding, including the
        
        
          prevalence of specific difficulties. This talk will focus on foundational con-
        
        
          cepts (e.g., loading) that are critical to the design and analysis of circuits in
        
        
          all courses studied. Preliminary results will be presented and implications
        
        
          for instruction will be discussed.
        
        
          *This work has been supported in part by the National Science Foundation under
        
        
          Grant Nos. DUE-1323426 and DUE-0962805.
        
        
          BE06:
        
        
          2:20-2:30 p.m.     Conceptual Difficulties Interpreting P-V
        
        
          Diagrams Across Physics and Engineering
        
        
          Contributed – Jessica W. Clark, University of Maine, Orono, ME 04469;
        
        
        
          John R. Thompson, Donald B. Mountcastle, University of Maine
        
        
          As part of a new effort to investigate the learning and teaching of concepts
        
        
          in thermodynamics and electronics in both physics and engineering, we
        
        
          have been examining student learning of thermodynamics in mechanical
        
        
          and chemical engineering and physics courses. Based on free-response
        
        
          surveys and individual interviews, we find that students in all disciplines
        
        
          have difficulty with the first law of thermodynamics and its constituent ele-
        
        
          ments: students either do not recognize its relevance or use it improperly.
        
        
          At the beginning of each of these courses, a majority of students treat work
        
        
          as a path-independent function (i.e., as if it were a state variable). This and
        
        
          other lines of reasoning, particularly relating to graphical interpretations
        
        
          of work, persist through instruction, although the degree of persistence
        
        
          varies by discipline. We will share findings about the relative prevalence
        
        
          of lines of reasoning and will relate our results to individual disciplinary
        
        
          emphases and pedagogies. The work described has been supported in part
        
        
          by the National Science Foundation under Grant Nos. DUE-0817282 and
        
        
          DUE-1323426.
        
        
          BE07:
        
        
          2:30-2:40 p.m.    Understanding the Neural Correlates of
        
        
          Problem Solving Across Multiple Cognitive Domains
        
        
          Contributed  – Jessica E. Bartley, Florida International University, Miami, FL
        
        
          33199;
        
        
        
          Kimberly L. Ray, Michael C. Riedel, Research Imaging Institute, University of
        
        
          Texas Health Science Center San Antonio
        
        
          Eric Brewe, Angela R. Laird, Florida International University
        
        
          Complex reasoning and problem-solving are integral cognitive constructs
        
        
          relevant to understanding how students acquire critical thinking skills in
        
        
          physics. Functional magnetic resonance imaging may offer neurobiologi-
        
        
          cal insight into how these critical thinking skills are acquired. Prior work
        
        
          studying the neural correlates of problem-solving has focused within
        
        
          specific cognitive domains, e.g. mathematical calculation, verbal problem-
        
        
          solving, or visuospatial reasoning.
        
        
          1,2
        
        
          However, research identifying neural
        
        
          networks engaged during physics problem-solving is limited. We use the
        
        
          BrainMap database
        
        
          3
        
        
          to perform a series of neuroimaging meta-analyses
        
        
          across multiple distinct cognitive domains likely involved in physics
        
        
          problem-solving. Common activation patterns are observed in the bilateral
        
        
          insula, mid and superior frontal gyrus, and parietal cortices, suggesting
        
        
          that reasoning across domains is supported by a superordinate problem-
        
        
          solving network.
        
        
          1. S.D Newman et al,
        
        
          Brain Research
        
        
          1410, 77-88 (2011).
        
        
          2. V. Prabhakaran et al,
        
        
          Cog Psych
        
        
          
            33
          
        
        
          , 43-63 (1997).
        
        
          3. A.R. Laird et al,
        
        
          Neuroinformatic
        
        
          s
        
        
          
            3
          
        
        
          , 65-78 (2005).
        
        
          BE08:
        
        
          2:40–2:50 p.m.    Uses of ICT in Teaching Physics
        
        
          Contributed – Oscar Jardey OJS Suarez,* Universidad Distrital Francisco
        
        
          José de Caldas, Carrera 3a Calle 26, Bogotá, AA 11001 Colombia;
        
        
        
          This paper seeks to identify the use of ICT Information Communication
        
        
          Technologies by teachers in teaching practices. The source of information
        
        
          corresponds to reports in the last five years that appeared in magazines
        
        
          such as
        
        
          Colombian Journal of Physics
        
        
          ,
        
        
          Latino American Journal Physics Edu-
        
        
          cation
        
        
          ,
        
        
          Revista Brasileira de Ensino Physics,
        
        
          Journal of Research and Teach-
        
        
          ing Experiences
        
        
          ,
        
        
          Journal of Physics
        
        
          ,
        
        
          The Physics Teacher Online
        
        
          , the
        
        
          Journal
        
        
          of Engineering Education,
        
        
          among others. This is a methodically informa-
        
        
          tional analysis accompanied by theoretical reflection on the context of an
        
        
          epistemological approach to teaching physics to engineering. Among the
        
        
          main findings is that ICTs have been incorporated as a mediating element
        
        
          between the physical knowledge and physical learning and as mediating
        
        
          artifacts of the dynamics present in physics laboratories.
        
        
          * PhD in Education with an emphasis in Science Physics Teacher Fundación Universi-
        
        
          dad Autónoma de Colombia. Research Project “Learning objects as cultural artifacts:
        
        
          conceptions of physics teachers working in the faculty of engineering”. Partially
        
        
          financed by the Research Center University District Francisco José de Caldas
        
        
          BE09:
        
        
          2:50-3 p.m.    Addressing Student Difficulties with
        
        
          non-Cartesian Unit Vectors in Upper-Level E&M
        
        
          Contributed – Brant E. Hinrichs, Drury University, Springfield, MO 65802;
        
        
        
          An upper-level E&M course (i.e. based on Griffiths) involves the extensive
        
        
          integration of vector calculus concepts and notation with abstract physics
        
        
          concepts like field and potential. We hope that students take what they
        
        
          have learned in their math classes and apply it to help represent and
        
        
          make sense of the physics. In a 2010 PERC paper I showed how students
        
        
          at different levels (pre-E&M course, post-E&M course, 1st year gradu-
        
        
          ate students) and in different disciplines (physics, electrical engineering)
        
        
          have difficulty using non-Cartesian unit vectors appropriately. I have now
        
        
          developed a small sequence of in-class activities to help students over come
        
        
          these kinds of difficulties. I present preliminary evidence here on their
        
        
          effectiveness.