Title :
Checking the Reliability of GeSES: Method for Detecting Symptoms of Low Performance
Author :
Bravo, Javier ; Martin, Eric ; Ortigosa, Alvaro ; Carro, Rosa M.
Author_Institution :
Dept. of Comput. Sci., Univ. Autonoma de Madrid, Madrid, Spain
fDate :
Nov. 30 2009-Dec. 2 2009
Abstract :
In the last years the development of learning environments, and particularly of educational adaptive hypermedia (EAH) systems has increased significantly. However, it is important to complement this development with evaluation methods in order to improve EAH system performance. In this context, we propose to analyze the data from student interaction with EAH systems utilizing the GeSES method. This method has been specifically designed to work with student logs and is based on C4.5 rules. In particular, the work described in this paper aims to achieve the following two objectives: testing the method with different types of data in order to find out its reliability, and detecting symptoms of low performance in a specific adaptive learning environment, called CoMoLE.
Keywords :
computer aided instruction; decision trees; GeSES; educational adaptive hypermedia systems; learning environments; specific adaptive learning environment; student interaction; Adaptive systems; Application software; Computer science; Data analysis; Data mining; Decision trees; Electronic learning; Intelligent systems; System performance; Testing; decision tree; educational; evaluation;
Conference_Titel :
Intelligent Systems Design and Applications, 2009. ISDA '09. Ninth International Conference on
Conference_Location :
Pisa
Print_ISBN :
978-1-4244-4735-0
Electronic_ISBN :
978-0-7695-3872-3
DOI :
10.1109/ISDA.2009.213
