• DocumentCode
    1166634
  • Title

    Collaborative Online Activities for Acoustics Education and Psychoacoustic Data Collection

  • Author

    Kim, Youngmoo E. ; Doll, Travis M. ; Migneco, Raymond

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA
  • Volume
    2
  • Issue
    3
  • fYear
    2009
  • Firstpage
    168
  • Lastpage
    173
  • Abstract
    Online collaborative game-based activities may offer a compelling tool for mathematics and science education, particularly for younger students in grades K-12. We have created two prototype activities that allow students to explore aspects of different sound and acoustics concepts: the ldquococktail party problemrdquo (sound source identification within mixtures) and the physics of musical instruments. These activities are also inspired by recent work using games to collect labeling data for difficult computational problems from players through a fun and engaging activity. Thus, in addition to their objectives as learning activities, our games facilitate the collection of data on the perception of audio and music, with a range of parameter variation that is difficult to achieve for large subject populations using traditional methods. Our activities have been incorporated into a pilot study with a middle school classroom to demonstrate the potential benefits of this platform.
  • Keywords
    acoustics; computer aided instruction; computer games; educational aids; hearing; music; physics education; acoustics education; audio perception; cocktail party problem; collaborative online activities; game based activities; grade K-12 science education; music perception; musical instrument physics; prototype activities; psychoacoustic data collection; sound mixtures; sound source identification; Acoustics; Databases; Games; Instruments; Reverberation; Signal to noise ratio; Timbre; Computers and education; computer-assisted instruction; games; sound and music computing.;
  • fLanguage
    English
  • Journal_Title
    Learning Technologies, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1939-1382
  • Type

    jour

  • DOI
    10.1109/TLT.2009.10
  • Filename
    4785450