Difference between revisions of "CUMULATE asymptotic knowledge assessment"
From PAWS Lab
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[[Image:CUMULATE asymptotic knowledge assessment.png]], where | [[Image:CUMULATE asymptotic knowledge assessment.png]], where | ||
* Ko - is the starting level of knowledge (here we always stark from 0) | * Ko - is the starting level of knowledge (here we always stark 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 | ||
| + | 8 | ||
Revision as of 19:28, 8 April 2009
Asymptotic knowledge assessment is CUMULATE's legacy user modeling algorithm for computing user knowledge with respect to problem-solving.
Computation
, where
- Ko - is the starting level of knowledge (here we always stark 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
8
