Automatic Generation of Contents Models for Digital Learning Materials

Abstract

There has been much research that demonstrates the effectiveness of usingontology to support the construction of knowledge during the learning process. However, the widespread adoption in classrooms of such methods are impeded by the amount of timeand effort that is required to create and maintain an ontology by a domain expert. In thispaper, we propose a method to automatically generate a contents model by analyzinglearning materials with the aim of supporting the construction of knowledge structures. Amap of the keyword nodes is constructed by applying text mining techniques to find theimportant words and phrases and their relations contained within the learning materials. Theprocess retains links between the nodes and the original learning materials, and it istherefore possible to recommend and rank sections that cover a concept contained within thecontents model map.