Title :
Artificial Intelligence Based Student Learning Evaluation Tool
Author :
Jain, G.P. ; Gurupur, Varadraj P. ; Faulkenberry, E.D.
Abstract :
In this paper we describe a tool coined as Artificial Intelligence Based Student Learning Evaluation Tool (AISLE). The main purpose of this tool is to improve the use of artificial intelligence techniques in evaluating a student´s understanding of a particular topic of study using concept maps. Here we calculate the probability distribution of the concepts identified in the concept map developed by the student. The evaluation of a student´s understanding of the topic is assessed by analyzing the curve of the graph generated by this tool. For the purpose of experimentation we have taken into consideration concept maps developed by students in the area of mathematics.
Keywords :
artificial intelligence; computer aided instruction; mathematics computing; statistical distributions; AISLE; artificial intelligence based student learning evaluation tool; concept maps; concept probability distribution; graph curve; mathematics; student understanding evaluation; Artificial intelligence; Concrete; Dairy products; Educational institutions; Engineering education; Equations; Mathematical model; concept maps; probability distribution;
Conference_Titel :
Global Engineering Education Conference (EDUCON), 2013 IEEE
Conference_Location :
Berlin
Print_ISBN :
978-1-4673-6111-8
Electronic_ISBN :
2165-9559
DOI :
10.1109/EduCon.2013.6530191