Models of the Learner in Computer-Assisted Instruction

Abstract

Abstract : The adaptability of computer-assisted instruction to individuals should be enhanced by the use of explicit models of the learner. To be appropriate for computer representation, these models must take the form of effective procedures. Such procedures may be derived from four areas of investigation: quantitative models of memory, regression models of performance, automaton models of performance, and artificial intelligence. Relevant work in these four areas is identified and reviewed.