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Decision Support: Introduction

In: Learning Support Systems For Organizational Learning

Author

Listed:
  • Joachim P. Hasebrook

    (University of Luebeck, Germany)

  • Hermann A. Maurer

    (Technical University of Graz, Austria)

Abstract

Many researchers aim to make their multimedia systems more adaptive and, therefore, more pedagogical. Expert systems and intelligent tutoring systems (ITS) adapt to the learner's demands, abilities, and knowledge, particularly in subjects conforming to formal logic. A growing number of adaptive computer programs contain media such as videos and photographs. Though there are no clear borders between expert systems, ITS, and other adaptive multimedia systems. Expert systems are mainly distinguished from ITS by two key characteristics:The knowledge base of an ITS attempts to model human knowledge, the knowledge base of an expert system does not; andExpert systems are not designed to support the learning process, because they do not explain their rules, knowledge or inferences…

Suggested Citation

  • Joachim P. Hasebrook & Hermann A. Maurer, 2004. "Decision Support: Introduction," World Scientific Book Chapters, in: Learning Support Systems For Organizational Learning, chapter 9, pages 155-157, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789812794789_0009
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