Supporting Adaptive Hypermedia Authors with Automated Content Indexing

The main hindrance to expanded use of adaptive educational hypermedia systems is the need for content to be properly described in the terms of domain concepts. This requirement slows down the authoring process and creates an obstacle to the broader distribution of such systems. In the current paper, we propose an approach to providing automated content indexing for adaptive educational hypermedia systems. Both stages of automated content indexing (content parsing and prerequisite/outcome identification) are described here in detail. The approach we have developed has been implemented by indexing the content of the NavEx system and has proven itself by creating meaningful recourse for adaptive example navigation support.