Artificial Intelligence Based Student Learning Evaluation Tool

Author

Jain, G.P. ; Gurupur, Varadraj P. ; Faulkenberry, E.D.

fYear

2013

fDate

13-15 March 2013

Firstpage

751

Lastpage

756

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Engineering Education Conference (EDUCON), 2013 IEEE

Conference_Location

Berlin

ISSN

2165-9559

Print_ISBN

978-1-4673-6111-8

Electronic_ISBN

2165-9559

Type

conf

DOI

10.1109/EduCon.2013.6530191

Filename

6530191