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
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;
Conference_Titel :
IEEE SoutheastCon 2010 (SoutheastCon), Proceedings of the
Conference_Location :
Concord, NC
Print_ISBN :
978-1-4244-5854-7
DOI :
10.1109/SECON.2010.5453897