A Probabilistic Model for Diagnosing Misconceptions by the Pattern Classification Approach

1985 ◽  
Vol 10 (1) ◽  
pp. 55 ◽  
Author(s):  
Kikumi K. Tatsuoka
Keyword(s):  
Pattern Classification ◽  
Probabilistic Model ◽  
Classification Approach

A Probabilistic Model for Diagnosing Misconceptions By The Pattern Classification Approach

1985 ◽  
Vol 10 (1) ◽  
pp. 55-73 ◽  
Author(s):  
Kikumi K. Tatsuoka
Keyword(s):  
Artificial Intelligence ◽  
Item Response Theory ◽  
Item Response ◽  
Pattern Classification ◽  
Probabilistic Model ◽  
Probabilistic Approach ◽  
Response Patterns ◽  
Classification Approach ◽  
Response Errors

This paper introduces a probabilistic approach to the classification and diagnosis of erroneous rules of operations that result from misconceptions (“bugs”) in a procedural domain of arithmetic. The model is different from the usual deterministic strategies common in the field of artificial intelligence because variability of response errors is explicitly treated through item response theory. As a concrete example, we analyze a dataset that reflects the use of erroneous rules of operation in problems of signed-number subtraction. The same approach, however, is applicable to the classification of several different groups of response patterns caused by a variety of different underlying misconceptions, different backgrounds of knowledge, or treatment.

scholarly journals Prediction of pediatric unipolar depression using multiple neuromorphometric measurements: A pattern classification approach

2015 ◽  
Vol 62 ◽  
pp. 84-91 ◽  
Author(s):  
Mon-Ju Wu ◽  
Hanjing Emily Wu ◽  
Benson Mwangi ◽  
Marsal Sanches ◽  
Sudhakar Selvaraj ◽  
...  
Keyword(s):  
Pattern Classification ◽  
Unipolar Depression ◽  
Classification Approach

Pattern classification approach to segmentation of chest radiographs

1993 ◽  
Author(s):  
Michael F. McNitt-Gray ◽  
James W. Sayre ◽  
H. K. Huang ◽  
Mahmood Razavi
Keyword(s):  
Pattern Classification ◽  
Chest Radiographs ◽  
Classification Approach
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