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  <titleInfo>
    <title> Physics Experiments Using an Automatically Controlled Model Train and Mobile Ultrasonic Sensor for a Smartphone</title>
    <subTitle>(Journal Article)</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Akira Adachi</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">Washington , DC</placeTerm>
    </place>
    <publisher>  American Association of Physics Teachers</publisher>
    <dateIssued> September 2023</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent> 489–491 p.</extent>
  </physicalDescription>
  <abstract>Abstract-

Here, I describe physics experiments using the motions of an automatically controlled model train. To measure these train motions, a mobile ultrasonic sensor unit (provided by Mobile Physics Education Lab1) was used. This sensor unit can be connected to a smartphone (Android OS) for display using a USB cable, and is convenient to carry. These experiments have been effective in stimulating interest in mechanics classes by providing a fun way for students to learn about motion through observation of a model train. It has been previously shown that mechanics concepts can be taught with RealTime Physics (RTP) using an Arduino-controlled electric model train and a smartphone-based ultrasonic motion sensor. The challenge has been producing smooth accelerations of the train, but I’ve solved that here.

In RTP by Sokoloff and collaborators, students predict what graphs of a motion will look like, and then compare their predictions to...</abstract>
  <tableOfContents>***______{For Hard Copy, Please visit Library.}________***</tableOfContents>
  <subject>
    <topic>Sensors</topic>
  </subject>
  <subject>
    <topic>Application programming interface</topic>
  </subject>
  <subject>
    <topic> Microcomputers</topic>
  </subject>
  <subject>
    <topic>Learning and learning models</topic>
  </subject>
  <subject>
    <topic> Science education, Teaching</topic>
  </subject>
  <classification authority="ddc">530.071</classification>
  <identifier type="issn">0031-921X</identifier>
  <identifier type="stock number">RIEBPL Library </identifier>
  <identifier type="uri">https://doi.org/10.1119/5.0086941</identifier>
  <location>
    <url>https://doi.org/10.1119/5.0086941</url>
  </location>
  <recordInfo>
    <recordCreationDate encoding="marc">231106</recordCreationDate>
    <recordChangeDate encoding="iso8601">20231120102843.0</recordChangeDate>
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