The algorithms of constructing concept lattices based on CAT with cognitive diagnosis

Constructing concept lattices plays an important role in Formal Concept Analysis. At present, cognitive diagnosis is a focus for researchers, and Computerized Adaptive Testing (CAT) with cognitive diagnosis is prospected but there are few relevant researches. Form Concept Analysis(FCA) can be applied into CAT, and the concept lattices for CAT are theoretically served as a learning model for examinees in CA T with cognitive diagnosis. Considering the attribute hierarchy, the algorithm of constructing concept lattices for CA T is given and discussed in detail, which is proved theoretically. © 2007 IEEE.

Авторы
Liu X.1 , Wu W.2 , Fei Y.3 , Deng C.1
Сборник материалов конференции
Язык
Английский
Страницы
358-362
Статус
Опубликовано
Номер
4427037
Год
2007
Организации
  • 1 Jiaxing University, Jiaxing 314001, Zhejiang, China
  • 2 Faculty of Software, Fujian Normal University, FuZhou, 350007, Fujian, China
  • 3 Friendship University, Russian Federation
Ключевые слова
Algorithms; Calcium; Computer networks; Evolutionary algorithms; Learning systems; Mathematical models; Modal analysis; Technology; Applied (CO); Computerized adaptive testing (CAT); Concept analysis; concept lattices; Formal Concept Analysis (FCA); Intelligent information; learning models; Technology applications; Information technology
Дата создания
19.10.2018
Дата изменения
19.10.2018
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/3171/
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