Title :
A cluster-based analisys to diagnose students´ learning achievements
Author :
Robles Pedrozo, Luz Stella ; Rodriguez-Artacho, M.
Author_Institution :
Syst. Eng. Program, Tecnol. de Bolivar, Cartagena de Indias, Colombia
Abstract :
Assessment and evaluation of students´ performance has always played an important role in the learning process as it provides information about the level of knowledge acquired on a subject, and the progress that has been achieved. However, another main issue is detecting the thematic core in which the students have learning problems because they are evaluated in terms of competencies. This study proposes an adaptive approach to diagnose and feedback students, and makes use of the Item Response Theory to estimate skill levels and classify the students. In addition, it uses a model of concepts´ relationship between the concepts and the items of the test. The purpose is to diagnose students´ cognitive problems and provide personalized and intelligent learning suggestions. This approach can be used as a system of intelligent diagnosis that receives a set of responses, and generates a data set of weak concepts for each student, specifying their learning path and resulting in clustering individuals who share the same shortcomings to ease any process of group feedback.
Keywords :
cognition; intelligent tutoring systems; pattern clustering; adaptive approach; cluster-based analysis; feedback students; intelligent diagnosis system; intelligent learning suggestions; item response theory; learning process; personalized learning suggestions; student cognitive problems; student learning achievement diagnosis; student performance assessment; student performance evaluation; thematic core; Artificial intelligence; Conferences; Data models; Engineering education; Logistics; Mathematical model; Testing; Clustering; Item Response Theory; Relationships between Concepts;
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.2013.6530248