ERIC Number: ED389747
Record Type: RIE
Publication Date: 1994-Nov
Reference Count: N/A
An Intelligent Tutoring System for Classifying Students into Instructional Treatments with Mastery Scores. Research Report 94-15.
Vos, Hans J.
As part of a project formulating optimal rules for decision making in computer assisted instructional systems in which the computer is used as a decision support tool, an approach that simultaneously optimizes classification of students into two treatments, each followed by a mastery decision, is presented using the framework of Bayesian decision theory. The main advantages of handling the three decision points simultaneously compared with separate optimization of such decisions are more efficient use of data and the use of more realistic utility structures. Both optimal weak monotone and strong monotone rules are considered. The results are empirically illustrated using data for 17,259 students for the problem, well-known in The Netherlands, of selecting optimum continuation schools at the end of elementary school on the basis of achievement test scores. (Contains 2 tables, 1 figure, and 6 references.) (SLD)
Descriptors: Achievement Tests, Bayesian Statistics, Classification, Computer Managed Instruction, Decision Making, Elementary School Students, Elementary Secondary Education, Foreign Countries, Intelligent Tutoring Systems, Mastery Tests, Student Placement, Teaching Methods, Test Results, Test Use
Bibliotheek, Faculty of Educational Science and Technology, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands.
Publication Type: Reports - Evaluative
Education Level: N/A
Authoring Institution: Twente Univ., Enschede (Netherlands). Faculty of Educational Science and Technology.
Identifiers: Decision Theory
Note: Table 2 contains small, broken type.