• DocumentCode
    1486838
  • Title

    Sending Learning Pills to Mobile Devices in Class to Enhance Student Performance and Motivation in Network Services Configuration Courses

  • Author

    Muñoz-Organero, Mario ; Munoz-Merino, P.J. ; Kloos, Carlos Delgado

  • Author_Institution
    Carlos III of Madrid Univ., Leganes, Spain
  • Volume
    55
  • Issue
    1
  • fYear
    2012
  • Firstpage
    83
  • Lastpage
    87
  • Abstract
    Teaching electrical and computer software engineers how to configure network services normally requires the detailed presentation of many configuration commands and their numerous parameters. Students tend to find it difficult to maintain acceptable levels of motivation. In many cases, this results in their not attending classes and not dedicating enough time to acquire the required competencies. This paper describes a successful experiment that was able to improve student class attendance, performance, and motivational patterns by using mobile devices in class to provide students with contextualized learning pills. A learning pill is a simple exercise that summarizes some of the key concepts explained in class and promotes reflection and self-study. Each student attending a particular lecture or laboratory session automatically receives a learning pill on his or her mobile phone just after the related concept has been presented. This paper details the scenario used in the experiment and analyzes the performance and motivational patterns of 170 students at the Higher Polytechnic School, Carlos III University of Madrid, Leganes, Spain.
  • Keywords
    computer aided instruction; educational aids; electrical engineering education; further education; mobile handsets; student experiments; Higher Polytechnic School; computer software engineers; configuration commands; contextualized learning pills; electrical engineers; mobile devices; mobile phone; motivational patterns; network services configuration courses; student class attendance; student performance; Conferences; Electronic learning; Mobile communication; Mobile handsets; Performance evaluation; Telematics; Educational technology; higher education; learning systems; pattern recognition; prediction methods; student experiments;
  • fLanguage
    English
  • Journal_Title
    Education, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9359
  • Type

    jour

  • DOI
    10.1109/TE.2011.2131652
  • Filename
    5741748