Title :
Predicting interactive properties by mining educational multimedia presentations
Author :
Bari, Moncef ; Lavoie, Benoit
Author_Institution :
Univ. of Quebec at Montreal, Montreal
Abstract :
This article reports on exploration and results from mining educational multimedia presentations. Quantitative information extracted automatically from educational multimedia presentations are used as input to data mining algorithms to establish explicit relationships among the data related to interactivity (links and actions). The aim of the work is to explore the possibility of using automatic techniques to help predicting the interactive properties in the multimedia presentations produced by students.
Keywords :
computer aided instruction; data mining; interactive systems; multimedia systems; automatic techniques; data mining algorithms; educational multimedia presentation mining; multimedia presentations; Acoustic materials; Collaboration; Communications technology; Data mining; Licenses; Machine learning algorithms; Multimedia systems; Open source software; Production; Videos; Data Mining; Educational Multimedia Presentations; Interactive Properties;
Conference_Titel :
Information and Communications Technology, 2007. ICICT 2007. ITI 5th International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-1430-7
DOI :
10.1109/ITICT.2007.4475654
