Research on the Application of Fuzzy Petri Net in Personalized Education
Yu Nie, Guiping Su, Junyi Dai, Yi Sun, Pan Liao · 2017
It's important to control students' learning path and to know students' learning knowledge levels in individualized education systems.Based on knowledge space theory, we studied learning state space and built a learning state model through Petri net.Since all possible learning paths can be found by the Petri net, therefore, the students' knowledge levels can be labeled.To achieve the purpose of personalized learning, transitions of Petri net are applied to simulate students' learning behaviors and knowledge states of each student which revealed to be able to be expressed by the places of the Fuzzy Petri Net.