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 : 15 Jul 1985
Pagination or Media Count : 34
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 his/her 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