Difference between revisions of "CUMULATE user and domain adaptive user modeling"
From PAWS Lab
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This stream of work is aimed at improving [[CUMULATE]]'s [[CUMULATE asymptotic knowledge assessment|legacy]] ''one-fits-all'' algorithm for modeling user's problem-solving activity and creating a context-sensitive user modeling algorithm adaptable/adaptive to individual users' cognitive abilities as well as to individual problem complexities. | This stream of work is aimed at improving [[CUMULATE]]'s [[CUMULATE asymptotic knowledge assessment|legacy]] ''one-fits-all'' algorithm for modeling user's problem-solving activity and creating a context-sensitive user modeling algorithm adaptable/adaptive to individual users' cognitive abilities as well as to individual problem complexities. | ||
| − | =Creating | + | =Creating Parametrized User Modeling Algorithm= |
| − | To overcome the shortcomings of the [[CUMULATE]]'s [[CUMULATE_asymptotic_knowledge_assessment|legacy]] user modeling algorithm, a new [[CUMULATE | + | To overcome the shortcomings of the [[CUMULATE]]'s [[CUMULATE_asymptotic_knowledge_assessment|legacy]] user modeling algorithm, a new [[CUMULATE parametrized asymptotic knowledge assessment|parametrized]] version of it has been devised |
Revision as of 02:17, 9 April 2009
This stream of work is aimed at improving CUMULATE's legacy one-fits-all algorithm for modeling user's problem-solving activity and creating a context-sensitive user modeling algorithm adaptable/adaptive to individual users' cognitive abilities as well as to individual problem complexities.
Creating Parametrized User Modeling Algorithm
To overcome the shortcomings of the CUMULATE's legacy user modeling algorithm, a new parametrized version of it has been devised
