Open AccessModeling of the content of the physics course based on the percolation coefficient
Author(s) -
Tatyana Gnitetskaya,
Alexey Tsoy
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2090/1/012074
Subject(s) - percolation (cognitive psychology) , course (navigation) , percolation theory , statistical physics , graph theory , content (measure theory) , graph , theoretical computer science , computer science , mathematics education , physics , mathematics , combinatorics , psychology , mathematical analysis , topology (electrical circuits) , astronomy , neuroscience
This article deals with the problem of modeling the assessment of the level of integrity of the content of the physics course learned by students. The need for such modeling is due to the need to bring education courses to online format. The degree of integrity of learning is proposed to be established by modeling the percolation of intradisciplinary connections established in the course structure. The model uses the graph model of intradisciplinary connections (T. N Gnitetskaya) and the principles of percolation theory (P-theory). The article provides a few practical solutions for the use of P-theory. An algorithm has been developed that allows forming the topics of the physics course into the studied structure.