Difference between revisions of "CUMULATE user and domain adaptive user modeling"

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=Creating Parametrized User Modeling Algorithm=
 
=Creating Parametrized User Modeling Algorithm=
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
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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. A set of studies is set up to evaluate the new algorithm as well as its adaptability/adaptivity.
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==Study 1==
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This study involves retrospective comparative evaluation of the [[CUMULATE]]'s [[CUMULATE asymptotic knowledge assessment|legacy]] and [[CUMULATE parametrized asymptotic knowledge assessment|parametrized]] user modeling algorithms. The evaluation is done using logs collected during 6 Database Management courses offered during Fall 2007 and Spring 2008 semesters at the [http://www.pitt.edu University of Pittsburgh], [www.ncirl.ie National College of Ireland], and [www.dcu.ie Dublin City University]. Each course had roughly the same structure and an identical set of problems served by [[SQLKnoT]] system.
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= Contacts =
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[[User:Myudelson|Michael V. Yudelson]]

Revision as of 02:31, 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. A set of studies is set up to evaluate the new algorithm as well as its adaptability/adaptivity.

Study 1

This study involves retrospective comparative evaluation of the CUMULATE's legacy and parametrized user modeling algorithms. The evaluation is done using logs collected during 6 Database Management courses offered during Fall 2007 and Spring 2008 semesters at the University of Pittsburgh, [www.ncirl.ie National College of Ireland], and [www.dcu.ie Dublin City University]. Each course had roughly the same structure and an identical set of problems served by SQLKnoT system.

Contacts

Michael V. Yudelson