Intelligent Computer-assisted Instruction (ICAI): Flexible Learning through Better Student-Computer Interaction

Abstract

Intelligent computer-assisted instruction (ICAI) uses artificial intelligence techniques to imitate in computer form the power of human tutorial processes. Its major technical features are the use of a modularized knowledge base instead of CAI's textual scripts, and the ability to interpret the student's statements and questions expressed in natural English. These features make ICAI systems extremely flexible and allow the student much greater learner control of the interaction than is traditionally possible in CAI. Other major elements of an ICAI system are an extensive model of the student and an explicit model of the tutoring process. Our research on the development of GEO, an ICAI system which interacts with students in the area of geography, is briefly described. Finally, the nature of this new technology is discussed in terms of its potential influence on university teaching and learning, especially in terms of our conception of learning.