Accession Number:

ADA222394

Title:

Student Modelling

Descriptive Note:

Technical rept.

Corporate Author:

CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF PSYCHOLOGY

Personal Author(s):

Report Date:

1987-03-12

Pagination or Media Count:

19.0

Abstract:

This chapter reviews the research literature concerned with the student modeling component of intelligent tutoring systems. An intelligent tutoring system, or ITS, is a computer program that instructs the student in an intelligent way. There is no accepted definition of what it means to teach intelligently. However, a characteristic shared by many ITSs is that they infer a model of the students current understanding of the subject matter and use this individualized model to adapt the instruction to the students needs. The component of an ITS that represents the students current state of knowledge is called the student model. Inferring a student model is called diagnosis because it is much like the medical task of inferring a hidden physiological state i.e. , a disease from observable signs i.e., symptoms. An ITS diagnostic system uncovers a hidden cognitive state the students knowledge of the subject matter from observable behavior. The student model and the diagnostic module are tightly interwoven. The student model is a data structure, and diagnosis is a process that manipulates it. The two components must be designed together. This design problem is called the student modeling problem. This chapter reviews solutions that have been found to the student modeling problem and discusses the techniques that have been discovered. kr

Subject Categories:

  • Psychology

Distribution Statement:

APPROVED FOR PUBLIC RELEASE