Open AccessMulti-agent modeling of the learning process using nested colored Petri nets
Author(s) -
I. M. Gorbachenko
Publication year - 2019
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 - 10.1088/1742-6596/1399/3/033022
Subject(s) - computer science , dropout (neural networks) , petri net , colored , process (computing) , point (geometry) , subject (documents) , process architecture , software engineering , artificial intelligence , machine learning , programming language , world wide web , materials science , geometry , mathematics , composite material
A model of the educational process of the university in the form of a two-level multi-agent system is implemented in the form of an embedded colored Petri nets using the CPN Tools software. The system allows a statistical modeling of the development of the educational program as a single student or group of students by evaluating the success of training. The average grade point and dropout rate are assessed both for passing one academic subject and the entire educational program. The initial data for modeling are taken on the basis of the experience of teaching students with a close profile of training and expert assessments of specialists. The structure of the system and the functioning of Petri nets are considered. An example is given illustrating the operation of the system.