Using simulated students for machine learning

Σταθακοπούλου, Ρεγγίνα; Γρηγοριάδου, Μαρίλια; Σαμαράκου, Μαρία; Μαγούλας, Γεώργιος Δ.

Ημερομηνία Δημοσίευσης: 2004

Τύπος Τεκμηρίου: Δημοσίευση σε συνέδριο

Όνομα Συνεδρίου: International Conference on Intelligent Tutoring Systems

In this paper we present how simulated students have been generated in order to obtain a large amount of labeled data for training and testing a neural network-based fuzzy model of the student in an Intelligent Learning Environment (ILE). The simulated students have been generated by modifying real students’ records and classified by a group of expert teachers regarding their learning style category. Experimental results were encouraging, similar to experts’ classifications.

Πηγή: http://link.springer.com/ / http://link.springer.com/chapter/10.1007%2F978-3-540-30139-4_109

Θέμα: Technology, Computer science, Τεχνολογία, Πληροφορική

Εμφάνιση πλήρους εγγραφής