A dual knowledge representation for a domain-independent Intelligent Training System

ABSTRACT

A dual knowledge representation is discussed which encompasses the instructor's organization of pedagogical knowledge and the domain expert's structuring of conceptual knowledge. This representation forms the basis of the knowledge structures of ITS Challenger, a domain-independent environment in which intelligent training systems (ITS) can be developed. The intelligent features of systems developed through ITS Challenger include adaptation to the student's knowledge level, dynamic problem generation, error analysis and student feedback. The instructional design methodology is based on objectives that are associated with learning types and instructional strategies. An ITS in orbital dynamics has been developed and has demonstrated its effectiveness as an instructional tool.

REFERENCES

• 1: Marijke F. Augensteijn , Ronald W. Broome , Raymond W. Kolbe , Robert N. Ewell, ITS Challenger—a domain-independent environment for the development of intelligent training systems, Journal of Artificial Intelligence in Education, v.3 n.2, p.183-205, Spring, 1992
• 2: Broome, R.W. (1991). "A Prototype Graphical User Interface for Authoring Domain-lndependent Intelligent Training Systems." Master's 77zesis, University of Colorado at Colorado Springs, Colorado Springs, CO.
• 3: Russell, D. (1988). "IDE: The Interpreter." In bztelligent Tutoring Systeors, Lessons Learned, Psotka, Massey and Mutter (Ed.). Lawrence Erlbaum, Assoc., Hilisdale, NJ.
• 4: Tom Murray , Beverly Park Woolf, A knowledge acquisition tool for intelligent computer tutors, ACM SIGART Bulletin, v.2 n.2, p.9-21, April 1991 [doi>10.1145/122319.122324]
• 5: Gagne, R. M. (1%5). 77~e Condition of Learning, Holt, Rinehart and Winston, New York.
• 6: Augusteijn, M.F.; and Kolbe R.W. (1990). "Error Analysis: Procedure Comparison versus Bug Libraries." Proceedings Fuz~ Logic Programmhlg OUCC 89, pp. 1.'~-142.

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.4 Knowledge Representation Formalisms and Methods
          Subjects: Representations (procedural and rule-based)

Additional Classification:
  K. Computing Milieux
  K.3 COMPUTERS AND EDUCATION
      K.3.1 Computer Uses in Education

          Nouns: CAL

General Terms:
Documentation, Theory