Recommendation agent behaviour with dynamic fuzzy petri net in E-learning environment

Juei Nan Chen; Yueh Min Huang; William C. Chu; Hewijin Christine Jiau

doi:10.1504/IJASS.2010.034112

Recommendation agent behaviour with dynamic fuzzy petri net in E-learning environment

Juei Nan Chen, Yueh Min Huang, William C. Chu, Hewijin Christine Jiau

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

This paper presents an agent-based e-learning environment to facilitate learners achieving his learning target. The agent can generate a recommendation sequence to the learner based on Dynamic Fuzzy Petri Net (DFPN). Besides this, we suggest that each course should define the study intensity function to normalise different exercise-grade criteria. In DFPN, each learner should receive different learning suggestions based on evaluation degree of truth of any proposition.

Original language	English
Pages (from-to)	227-242
Number of pages	16
Journal	International Journal of Applied Systemic Studies
Volume	3
Issue number	2
DOIs	https://doi.org/10.1504/IJASS.2010.034112
Publication status	Published - 2010 Jul

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Computer Science Applications
Information Systems and Management

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abstract = "This paper presents an agent-based e-learning environment to facilitate learners achieving his learning target. The agent can generate a recommendation sequence to the learner based on Dynamic Fuzzy Petri Net (DFPN). Besides this, we suggest that each course should define the study intensity function to normalise different exercise-grade criteria. In DFPN, each learner should receive different learning suggestions based on evaluation degree of truth of any proposition.",

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