• DocumentCode
    2199276
  • Title

    Enhancing student learning in artificial intelligence using robotics

  • Author

    Stansbury, Richard S.

  • Author_Institution
    Dept. of Electr., Comput., Software, & Syst. Eng., Embry-Riddle Aeronaut. Univ., Daytona Beach, FL, USA
  • fYear
    2010
  • fDate
    18-21 March 2010
  • Firstpage
    168
  • Lastpage
    171
  • Abstract
    Artificial intelligence (AI) techniques may be applied to a variety of real-world problems. At Embry-Riddle Aeronautical University, CS 455: Artificial Intelligence was offered during the Spring 2008 semester in which students from all disciplines were invited to attend. Robot kits are incorporated into the course as a pedagogical tool to motivate and encourage learning by applying theoretically abstract algorithms to concrete real-world problems. This paper discusses the approach to incorporating robotics in the AI classroom. A set of commercial off-the-shelf robot kits are discussed and analyzed with respect to the students´ work during the semester. Finally, recommendations for improvements on teaching AI to a multi-disciplinary audience with the help of robot kits will be discussed.
  • Keywords
    artificial intelligence; control engineering computing; control engineering education; educational courses; robots; Embry-Riddle Aeronautical University; artificial intelligence; commercial off-the-shelf robot kits; pedagogical tool; robotics; student learning; theoretical abstract algorithms application; Artificial intelligence; Infrared detectors; Infrared sensors; Intelligent robots; Intelligent sensors; Learning; Mobile robots; Optical sensors; Robotic assembly; Sensor systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IEEE SoutheastCon 2010 (SoutheastCon), Proceedings of the
  • Conference_Location
    Concord, NC
  • Print_ISBN
    978-1-4244-5854-7
  • Type

    conf

  • DOI
    10.1109/SECON.2010.5453897
  • Filename
    5453897