• DocumentCode
    2985690
  • Title

    Developing mobile learning applications for electrical engineering courses

  • Author

    Potts, Josh ; Moore, Nick ; Sukittanon, Somsak

  • Author_Institution
    Dept. of Eng., Univ. of Tennessee at Martin, Martin, TN, USA
  • fYear
    2011
  • fDate
    17-20 March 2011
  • Firstpage
    293
  • Lastpage
    296
  • Abstract
    With the shift from desktop/laptop computers to multi-touch mobile devices (e.g. iPad, Smartphone, Tablet handheld), these mobile devices have become a part of everyday life and have potentials to promote in-class activities between teachers and students. In this paper, we have developed mobile learning applications for the Google´s Android and Apple´s iOS platforms to be used in electrical engineering courses at the University of Tennessee at Martin and have investigated their effects on student performance. These applications are quiz-style and touch based applications that ask students questions relevant to electrical engineering subjects. There are several different problems to choose from, including digital logic gate analysis, discrete signal convolution, and digital filter design. Once students complete the work, the score results can be sent to the instructor´s email automatically. While students play with this mobile software, they are actually learning the subjects and getting to compete with classmates. Students also can learn anytime or anywhere, in or outside of the classroom.
  • Keywords
    computer aided instruction; educational courses; electrical engineering education; mobile handsets; Apples iOS; Googles Android; digital filter design; digital logic gate analysis; discrete signal convolution; electrical engineering course; mobile device; mobile learning; Androids; Finite impulse response filter; Games; Humanoid robots; Mobile communication; Mobile handsets; Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Southeastcon, 2011 Proceedings of IEEE
  • Conference_Location
    Nashville, TN
  • ISSN
    1091-0050
  • Print_ISBN
    978-1-61284-739-9
  • Type

    conf

  • DOI
    10.1109/SECON.2011.5752952
  • Filename
    5752952