99
        
        
          July 26–30, 2014
        
        
          
            Tuesday morning
          
        
        
          keeping an online, electronic, notebook. This transition was done primarily
        
        
          to reduce waste and costs for students (having to buy lab notebook, half
        
        
          of which would go unused) and to reduce my burden (no more toting 24
        
        
          notebooks to and from class and to and from home; scoring 1/3 as many
        
        
          notebooks). The secondary benefit was to introduce students to electronic
        
        
          means of keeping notes, including the use of modern online editor func-
        
        
          tions (equations, super- and subscripts, etc.). I will present here a summary
        
        
          of my experiences in having students use an online lab notebook platform;
        
        
          specifically, the use of BlackBoard 9.1 Wikis.
        
        
          DH03:
        
        
          8:40-8:50 a.m.   Using LabArchives in Introductory and
        
        
          Advanced Physics Lab Courses
        
        
          Contributed – John M. Caraher, DePauw University, Department of Physics &
        
        
          Astronomy, Greencastle, IN 46135-0037; 
        
        
        
          Electronic Lab Notebooks (ELNs) promise multiple practical and peda-
        
        
          gogical advantages over traditional paper lab notebooks, but their adoption
        
        
          poses some unique challenges. I describe my own experience using one
        
        
          commercially available solution, LabArchives, as an ELN in two courses --
        
        
          the lab for a calculus-based introductory mechanics course and the lab for
        
        
          an upper-level atomic and molecular physics course, both taught at a selec-
        
        
          tive liberal arts college. Topics will include: ELN organization, ease of use
        
        
          for both students and instructor, archiving and sharing notebooks, student
        
        
          feedback on LabArchives ELN use, and methods for including equations,
        
        
          graphs, diagrams and other non-text elements in student ELNs.
        
        
          DH04:
        
        
          8:50-9 a.m.   Using Student Screencasts for Assessment
        
        
          Contributed – Andy Rundquist, Hamline University, St. Paul, MN 55104-1284;
        
        
        
          In an effort to capture some of the authenticity of oral exams in my normal
        
        
          assessments, I have used student screencasts to assess student understand-
        
        
          ing and application of concepts. I have also extended that to laboratory
        
        
          reports. I will present the strengths and weaknesses of the approach, focus-
        
        
          ing on how it helps me provide both tailored feedback and authentic evalu-
        
        
          ations. One feature for labs is the ability to assess individuals in a group, as
        
        
          their voice added to a common document helps to identify points that are
        
        
          well understood by each member.
        
        
          
            Session DI: Arduinos Micro-Control-
          
        
        
          
            lers and Underwater ROVs
          
        
        
          Location:       Tate Lab 133
        
        
          Sponsor:        Committee on Physics in Two-Year Colleges
        
        
          Date:              Tuesday, July 29
        
        
          Time:              9:20–10 a.m.
        
        
          Presider: Tom Carter
        
        
          DI01:
        
        
          9:20-9:30 a.m.    Arduino Uno Microcontrollers Measuring
        
        
          Thermal Effects During Stratospheric Balloon Flights
        
        
          Contributed – Erick Agrimson, St. Catherine University, St. Paul, MN 55105;
        
        
        
          Rachel DuBose, Kaye Smith, St. Catherine University
        
        
          James Flaten, Spencer McDonald, University of Minnesota
        
        
          We present results from a study of the thermal wake that trails below
        
        
          ascending high-altitude balloons (weather balloons) on flights into the
        
        
          stratosphere, sometimes called “near space.” Data is collected using hori-
        
        
          zontal 1-D and 2-D arrays of temperature sensors hanging below the bal-
        
        
          loon in the thermal wake and logged using Arduino Uno microcontrollers.
        
        
          We characterize the physical width and thermal profile of the wake, which
        
        
          is warmer than the surrounding air during day-time flights, due to solar
        
        
          heating of the balloon, and colder than ambient air during night-time as-
        
        
          cents. Temperatures drop to well below -50 degrees Celsius during a typical
        
        
          high-altitude flight as the apparatus ascends through the tropopause. We
        
        
          also evaluate the performance of digital DS18B20 temperature sensors and
        
        
          Arduino Uno microcontrollers in the near-space environment.
        
        
          DI02:
        
        
          9:30-9:40 a.m.   Arduino in an Undergraduate Lab
        
        
          Curriculum and Applications
        
        
          Contributed – Tia V. Troy,* Winona State University, Minneapolis, MN 5541;7
        
        
        
          Nathan Moore, Megan Reiner, Andrew Haugen. Winona State University
        
        
          Throughout the spring semester 2013 at Winona State University, a new
        
        
          curriculum was implemented in the Physics 221 Labs. The new curriculum
        
        
          was motivated by previous attempts to introduce the Arduino Micro-
        
        
          controller into the curriculum. Most of the evidence about this project’s
        
        
          success is anecdotal and is based on integration of technology and on the
        
        
          development of the students’ ability to use technology in the classroom.
        
        
          During integration, one lab was selected for further research. The lab
        
        
          selected was a setup that could be modeled as an oscillating spring system
        
        
          and the frequency of small oscillations can be found using energy conser-
        
        
          vation. From data collected with various sensors, including the Arduino
        
        
          distance sensor, a paper is being developed.
        
        
          Sponsored by Dr. Nathan Moore
        
        
          DI03:
        
        
          9:40-9:50 a.m.   Research on Productive Tinkering in an
        
        
          Arduino Environment
        
        
          Contributed – Gina M. Quan, University of Maryland, College Park, MD
        
        
          20742;
        
        
        
          Ayush Gupta, University of Maryland
        
        
          In the engineering design process as taught in middle/high school class-
        
        
          rooms, systematic planning is often valued over tinkering, a process that
        
        
          shortcuts that kind of analytical thinking. We argue that tinkering could be
        
        
          productive for students’ learning. We piloted a project-based instructional
        
        
          module using Arduino Rovers (Arduino integrated programmable robot-
        
        
          tanks) in Summer Girls, a summer camp for high school students hosted
        
        
          by University of Maryland Physics Department. Throughout the two-week
        
        
          program, participants worked in pairs through several open-ended tasks
        
        
          before designing and completing a final project. Using classroom video
        
        
          data of student-pairs working on the design tasks, we contrast ad-hoc
        
        
          tinkering with planned, deliberate sense-making. We argue that tinkering
        
        
          is a productive practice for project-based learning, contributing to practical
        
        
          success on task and supporting students in learning content. We suggest
        
        
          that instructors of design tasks should consider ways to recognize students’
        
        
          tinkering practices and support them in tinkering productively.
        
        
          DI04:
        
        
          9:50-10 a.m.   Adapting Modeling Instruction to DIY
        
        
          Arduino (Microcontroller) Lab Equipment Development
        
        
          Contributed – Nathan T. Moore, Winona State University, Winona, MN 55987-
        
        
          0838; 
        
        
        
          Andrew Haugen Winona State University
        
        
          The Arduino Microcontroller is an inexpensive, easy to program board that
        
        
          introductory students can use to create simple data acquisition equipment.
        
        
          However, standard training in microcontroller programming takes the
        
        
          form of either endless streams of dubious quality Youtube videos, or dense
        
        
          EE books on assembly language programming. Obviously, neither of these
        
        
          options is appropriate for the introductory University Physics Lab. In the
        
        
          work, I will describe how Modeling Instruction can be adapted to provide
        
        
          a conceptual and curricular framework for introducing microcontroller
        
        
          DAQ programming into the intro lab. Briefly, the process can be thought
        
        
          of as Model development (calibration, signal conditioning, algorithms),
        
        
          and Model deployment (physical analogs to context-rich group problems).
        
        
          Results from two implementations of this approach to the introductory lab,
        
        
          using both Arduino/C and Labview programming environments, will be
        
        
          discussed.