Difference between revisions of "CUMULATE asymptotic knowledge assessment"
From PAWS Lab
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* Ko - is the starting level of knowledge (here we always start from 0) | * Ko - is the starting level of knowledge (here we always start from 0) | ||
* res - result of user action (0 -error, 1 - correct); we only update knowledge levels upon correct user actions and do not penalize errors | * res - result of user action (0 -error, 1 - correct); we only update knowledge levels upon correct user actions and do not penalize errors | ||
| − | * Wc,p is a weight of concept c in problem p | + | * Wc,p - is a weight of concept c in problem p |
| − | * ΣWc,p is the sum of weights of all concepts in problem p | + | * ΣWc,p - is the sum of weights of all concepts in problem p |
| + | * <sub>succ</sub>att<sub>p</sub> - is a number of successful solutions to problem p prior to current attempt | ||
Revision as of 19:31, 8 April 2009
Asymptotic knowledge assessment is CUMULATE's legacy user modeling algorithm for computing user knowledge with respect to problem-solving.
Computation
The formula below is used to update the knowledge levels of concepts (c) addressed in a problem (p)
, where
- Ko - is the starting level of knowledge (here we always start from 0)
- res - result of user action (0 -error, 1 - correct); we only update knowledge levels upon correct user actions and do not penalize errors
- Wc,p - is a weight of concept c in problem p
- ΣWc,p - is the sum of weights of all concepts in problem p
- succattp - is a number of successful solutions to problem p prior to current attempt
