Title :
Educational software system for reasoning and decision making using Bayesian networks
Author :
Milenkovic, Katarina ; Draskovic, Drazen ; Nikolic, Bosko
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Belgrade, Belgrade, Serbia
Abstract :
Artificial intelligence represents important area in the field of Computer Science and Engineering. The paper describes Bayesian thinking and the software system for learning Bayesian networks which has been realized at the University of Belgrade - School of Electrical Engineering. This software has been developed as visual interactive educational system for students and will be used within undergraduate studies, within the course subject ´Intelligent Systems.´ In this system it is possible to create arbitrary Bayesian network and demonstrate the process of reasoning and decision making, through detailed monitoring of the process. The main objectives of using the system are: to simplify the learning process, and make it efficient and easily integrated into the course.
Keywords :
belief networks; computer aided instruction; decision making; educational courses; electrical engineering computing; electrical engineering education; inference mechanisms; interactive systems; Bayesian networks; University of Belgrade; artificial intelligence; computer engineering; computer science; decision making; educational software system; intelligent systems; learning process; reasoning; school of electrical engineering; undergraduate studies; visual interactive educational system; Artificial intelligence; Bayes methods; Cognition; Education; Mice; Software systems; Standards; Artificial intelligence; Bayesian networks; Visual simulation;
Conference_Titel :
Global Engineering Education Conference (EDUCON), 2014 IEEE
DOI :
10.1109/EDUCON.2014.7096840
