Research on the Application of Fuzzy Petri Net in Personalized Education

DOI

10.2991/msmee-17.2017.78How to use a DOI?

Keywords

Knowledge space; learning state; learning path; Fuzzy-Petri net

Abstract

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yu Nie
AU  - Guiping Su
AU  - Junyi Dai
AU  - Yi Sun
AU  - Pan Liao
PY  - 2017/05
DA  - 2017/05
TI  - Research on the Application of Fuzzy Petri Net in Personalized Education
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 385
EP  - 390
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.78
DO  - 10.2991/msmee-17.2017.78
ID  - Nie2017/05
ER  -