Using Schema Analysis for Feedback in Authoring Tools for Learning Environments

Course material for electronic learning environments is often structured using ontology and schema languages. During the specification and development of course material, many mistakes and errors can be made. In this paper we introduce schema-analysis as a technique to analyse structured documents, and to point out (possible) mistakes introduced by an author during authoring. With this technique we are able to produce valuable feedback. We show the technique at work using six categories of mistakes and two types of schemata.