Title :
Work in progress - identification of subject typologies through Artificial Intelligence techniques to study the competences achievement of the new computer engineers
Author :
Garcia-Piquer, A. ; Fornells, A. ; Golobardes, E. ; Cugota, L.
Author_Institution :
Grup de Recerca en Sistemes Intelligents, La Salle - Univ. Ramon Llull, Spain
Abstract :
Nowadays the educational methodologies are being reconsidered to allow the successful achievement of the skills of the future computer engineer. The issue is based on adapting these methodologies from the point of view of the competences provided by the subjects. This work in progress focuses on identifying typologies subjects through data mining techniques. This categorization allows experts to study the best way of adapting the educational models in order to guarantee the acquisition of the expected competences.
Keywords :
artificial intelligence; computer aided instruction; data mining; engineering education; artificial intelligence techniques; competences achievement; computer engineers; data mining techniques; educational methodology; educational models; subject typology; Artificial intelligence; Data analysis; Data mining; Education; Electrical capacitance tomography; Europe; Machine learning; Artificial Intelligence; Clustering; Competences; Educational Methodologies; Engineer;
Conference_Titel :
Frontiers in Education Conference, 2009. FIE '09. 39th IEEE
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-4715-2
Electronic_ISBN :
0190-5848
DOI :
10.1109/FIE.2009.5350585