Predicting interactive properties by mining educational multimedia presentations

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.