User Adapted Queries for Automated Selection and Sequencing of Learning Resources

The raising demand for web-based training and increased efforts of major companies in standardising learning resources will lead to large commercial databases of instructional content which will be designed for being used as sources for on-the-fly creation of adapted courseware. These systems will be queried using rather complex user profiles instead of SQL statements and they will produce well structured instructional material instead of unordered data sets. In this paper the implications of these demands on learning resource databases are discussed and a framework that provides solutions for most of the implied problems is introduced.