Accession Number:

ADA157898

Title:

Bug Distribution and Pattern Classification.

Descriptive Note:

Research rept.,

Corporate Author:

ILLINOIS UNIV AT URBANA COMPUTER-BASED EDUCATION RESEARCH LAB

Personal Author(s):

• Tatsuoka,K. K.
• Tatsuoka,M. M.

Report Date:

1985-07-15

Pagination or Media Count:

34.0

Abstract:

A model called rule space which permits measuring cognitive skill acquisition, diagnosing cognitive errors, detecting the weaknesses and strengths of knowledge possessed by individuals was introduced earlier. This study further discusses the theoretical foundation of the model by introducing Bug Distribution and hypothesis testing Bayes decision rules for minimum errors for classifying and individual into hisher most plausible latent state of knowledge. The model is illustrated with the domain of fraction arithmetic and compared with the results obtained from a conventional Artificial Intelligence approach. Keywords Rule space model Error diagnosis Bayes decision rules Classification and Latent knowledge.

Descriptors:

• *MATHEMATICAL MODELS
• *MEASUREMENT
• *COGNITION
• ACQUISITION
• SKILLS
• TEST METHODS
• ERROR ANALYSIS
• DECISION THEORY
• CLASSIFICATION
• PATTERNS
• DIAGNOSIS(GENERAL)
• ARTIFICIAL INTELLIGENCE
• HYPOTHESES
• BAYES THEOREM
• PERCEPTION
• APPROACH

Subject Categories:

• Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE