KNOWLEDGE FOR COURSEWARE ENGINEERING - A FRAMEWORK FOR INDUCTIVE KNOWLEDGE ACQUISITION BASED UPON EVALUATION OF ADAPTABLE COURSEWARE PRODUCTS

Authors or adaptors of courseware products preferably should receive s upport in the process of development and adaptation of courseware prod ucts. A predictive agent is defined as a system that is able to predic t the expected effectiveness of various composable products from curre nt product attributes. The described research addresses the questions of how to acquire the necessary knowledge for a predictive agent, how to organize this knowledge, and how to link it with methods and tools for courseware authoring and adaptation. We propose to use a methodolo gy, derived from the field of machine learning, and present a framewor k for applying inductive knowledge acquisition based upon the empirica l evaluation of adaptable courseware products.