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- Title
An Analysis of the Categories and Structures of Expertise for Students' Cognitive States.
- Authors
Mingzhe Niu
- Abstract
Knowledge networks play an important role in the process of knowledge acquisition and sharing by students. An analysis of their complex structural features is required for the connectivity between students and knowledge. Existing research lacks insight into the internal structural features of knowledge networks constructed from expertise. There is also a lack of effective methods for constructing personalised knowledge networks for students' cognitive states. This paper analyses the categories and structures of expertise for students' cognitive states, and presents in detail a grey prediction algorithm to identify students' cognitive states. Then, the paper presents a typological description of the knowledge nodes in the expertise network for students' cognitive states, and analyses the knowledge network structure from the perspectives of paths and statistical properties. After that, the paper gives a method for analysing the knowledge flow of the expertise network. The experimental results validate the effectiveness of the proposed method.
- Subjects
KNOWLEDGE acquisition (Expert systems); EXPERTISE; INFORMATION sharing; STUDENTS
- Publication
International Journal of Emerging Technologies in Learning, 2023, Vol 18, Issue 1, p254
- ISSN
1863-0383
- Publication type
Article
- DOI
10.3991/ijet.v18i01.37123