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.

Authors
Liu X.1 , Wu W.2 , Fei Y.3 , Deng C.1
Language
English
Pages
358-362
Status
Published
Number
4427037
Year
2007
Organizations
  • 1 Jiaxing University, Jiaxing 314001, Zhejiang, China
  • 2 Faculty of Software, Fujian Normal University, FuZhou, 350007, Fujian, China
  • 3 Friendship University, Russian Federation
Keywords
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
Date of creation
19.10.2018
Date of change
19.10.2018
Short link
https://repository.rudn.ru/en/records/article/record/3171/
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