139
        
        
          July 26–30, 2014
        
        
          
            Wednesday afternoon
          
        
        
          concepts. This talk will present activities that use these simulations to eluci-
        
        
          date some topics in astronomy. In particular, it will describe using PhETs to
        
        
          study: “Orbits, Gravity and Kepler’s Law,” “What Stars are Made of,” “Stellar
        
        
          Temperature” and “Stellar Luminosity.”
        
        
          GC09:
        
        
          2:20-2:30 p.m.   Intelligent Coaches for Problem Solving
        
        
          in Physics*
        
        
          Contributed – Leonardo Hsu, University of Minnesota, Minneapolis, MN
        
        
          55455;
        
        
        
          Kristin Crouse, Evan Frodermann, Ken Heller, Qing Ryan, University of Min-
        
        
          nesota
        
        
          Intelligent tutoring systems (ITSs) were introduced more than 40 years ago
        
        
          and the idea of Computer Assisted Instruction (CAI) has been in existence
        
        
          almost since the birth of computers. The University of Minnesota Physics
        
        
          Education Research Group has combined that work with research from
        
        
          cognitive science and physics education to develop an instructor-modi-
        
        
          fiable web-based system for providing students with coaching in solving
        
        
          physics problems. This system, called Customizable Computer Coaches for
        
        
          Physics Online (C3PO), is designed to help students develop expert-like
        
        
          problem-solving skills by providing them with individualized guidance and
        
        
          feedback while they practice solving problems. In this talk, we describe the
        
        
          system, its place in the constellation of ITSs for physics education in the
        
        
          universe of CAI, and the plans for future development.
        
        
          *
        
        
          This work was partially supported by NSF DUE-0715615 and DUE-1226197.
        
        
          GC10:
        
        
          2:30-2:40 p.m.   The Software Framework for Customiz-
        
        
          able Computer Coaches for Physics Online*
        
        
          Contributed – Kristin N. Crouse, University of Minnesota, Minneapolis, MN
        
        
          55455-0213;
        
        
        
          Evan Frodermann, Ken Heller, Leon Hsu, Bijaya Aryal, University of Min-
        
        
          nesota
        
        
          The University of Minnesota Physics Education Research Group has been
        
        
          developing Customizable Computer Coaches for Physics Online (C3PO),
        
        
          a web-based system designed to help students develop expert-like problem
        
        
          solving skills. C3PO delivers instructor-modifiable coaching programs
        
        
          that provide students with individualized guidance and feedback while
        
        
          solving physics problems. In this talk, we discuss the software architecture
        
        
          of the system and the design process and demonstrate some of the system’s
        
        
          capabilities.
        
        
          *This work was partially supported by NSF DUE-0715615 and DUE-1226197.
        
        
          GC11:
        
        
          2:40-2:50 p.m.   Computer Programming Made Easier
        
        
          with Canopy
        
        
          Contributed – Larry Engelhardt, Francis Marion University, Florence, SC
        
        
          29501-0547;
        
        
        
          Computational physics is hard. Students need to learn computational
        
        
          thinking, at the same time that they learn the syntax of a programming
        
        
          language, as well as specific algorithms, without letting any of this get in
        
        
          the way of the physics! In this talk, we will demonstrate “Canopy” which is
        
        
          an environment for the Python programming language that helps makes
        
        
          this process a little bit easier. In particular, Canopy includes a new debug-
        
        
          ger (released spring 2014) that makes it easier than ever to understand the
        
        
          mechanics of a computer program
        
        
          .
        
        
          GC12:
        
        
          2:50-3 p.m.   CUDA: At-Home Supercomputing
        
        
          Contributed – Jacob Knoles,* California State University Chico, Chico, CA
        
        
          95926;
        
        
        
          Eric Ayars, California State University Chico
        
        
          NVIDIA CUDA is a simple programming API that harnesses the comput-
        
        
          ing power of the Graphical Processing Unit, or GPU, and puts it directly
        
        
          into everyday users’ hands. The significance of this concept is that modern
        
        
          GPUs can have upwards of 3000 processing cores, as opposed to a typical
        
        
          quad-core processor. These extra cores allow users to complete complex
        
        
          and time-consuming calculations in fractions of a second. Parallel pro-
        
        
          gramming is leading the way in modern High Performance Computing
        
        
          Priscilla Laws, David Jackson, Maxine Willis, Dickinson College
        
        
          One of the short interactive video vignettes (IVVs) developed by the
        
        
          LivePhoto Physics Group targets student understanding of Newton’s third
        
        
          law. This seven-minute interactive web-delivered vignette was designed
        
        
          to supplement textbook readings. It includes real-world and laboratory-
        
        
          based video segments and users must answer multiple-choice questions.
        
        
          Throughout the IVV, student responses are echoed back to them while
        
        
          they see the questions resolved. As part of an evaluation to determine
        
        
          the impact of the IVV on student understanding of Newton’s third law, a
        
        
          controlled study was conducted involving three professors who each taught
        
        
          two sections of an introductory physics course, with only one section of
        
        
          students completing the IVV as a homework assignment. Students in all
        
        
          sections were pre- and post-tested using the Force Concept Inventory.
        
        
          Results will be presented to demonstrate the impact of the IVV on student
        
        
          learning of Newton’s third law.
        
        
          *Work supported by NSF DUE #1123118 & 1122828
        
        
          GC06:
        
        
          1:50-2 p.m.   Software for Interactive Video Vignettes*
        
        
          Contributed – Robert B. Teese, Rochester Institute of Technology, 54 Lomb
        
        
          Dr., Rochester, NY 14623; 
        
        
        
          Thomas J. Reichlmayr, Rochester Institute of Technology
        
        
          Priscilla W. Laws, David Jackson, Dickinson College
        
        
          Software developed in the LivePhoto Physics Interactive Video Vignettes
        
        
          Project is being used in introductory physics courses, introductory biology
        
        
          courses and advanced physics lab courses. Interactive Video Vignettes
        
        
          are short, online activities that combine narrative videos with interactive,
        
        
          hands-on elements for the user such as video analysis or multiple-choice
        
        
          branching questions, in which the user’s answer affects the sequence of ele-
        
        
          ments that follow. The software that powers vignettes is delivered over the
        
        
          Internet and runs in a normal browser on the user’s device. The same soft-
        
        
          ware can be used to make Interactive Web Lectures for flipped classrooms,
        
        
          online learning, and MOOCs. A Java application that teachers can use to
        
        
          create their own vignettes and online lectures is under development and
        
        
          is available for testing. The software will be demonstrated and the status of
        
        
          the development will be described.
        
        
          *Supported by NSF grants DUE-1122828, DUE-1123118 and DUE-12110685.
        
        
          GC07:
        
        
          2-2:10 p.m.   Next Generation PhET Simulations: New
        
        
          Features for Teaching and Learning*
        
        
          Contributed – Katherine K. Perkins, University of Colorado Boulder, UCB 390,
        
        
          Boulder, CO 80309-0001; 
        
        
        
          Stephanie V. Chasteen, University of Colorado Boulder
        
        
          With the emergence of new educational platforms (e.g. iPads and
        
        
          Chromebooks) and opportunities for increased interoperability among
        
        
          educational technologies, the PhET Interactive Simulations project at
        
        
          University of Colorado Boulder recently launched a new initiative to create
        
        
          next-generation PhET simulations. These next-generation simulations
        
        
          are built in HTML5 with new touch-and-tablet compatible designs (See
        
        
          video: 
        
        
        
           and sims 
        
        
        
          -
        
        
          tions/category/html). This work brings a unique opportunity to build-in
        
        
          new functionality—functionality that would be common across all of the
        
        
          simulations and that would enable new teaching, learning, assessment, and
        
        
          research opportunities. We have solicited input and ideas from the broader
        
        
          education community. In this session, we summarize the list of new
        
        
          features under consideration—such as, recording user interactions with the
        
        
          simulations, combining tabs from multiple simulations, pre-setting simula-
        
        
          tion configurations, or enabling screen capture with annotation— and
        
        
          discuss how these features will extend teaching and learning opportunities,
        
        
          including addressing the NGSS.
        
        
          *This work is funded in part by the Gordon and Betty Moore Foundation, and the
        
        
          William and Flora Hewlett Foundation.
        
        
          GC08:
        
        
          2:10-2:20 p.m.   Using PhETs in Astronomy
        
        
          Contributed – Rhoda Berenson, New York University, New York, NY 10010-
        
        
          3140; 
        
        
        
          The University of Colorado website, phet.colorado.edu, provides simula-
        
        
          tions of physical situations designed to help students grasp scientific