CUMULATE user and domain adaptive user modeling: Difference between revisions
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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 | 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. | ||
==Study 1== | |||
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. | |||
= Contacts = | |||
[[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.