Recommendation agent behaviour with Dynamic Fuzzy Petri Net in e-learning environment
Juei-Nan Chen, Yueh Min Huang, William Cheng‐Chung Chu, Hewijin Christine Jiau · International Journal of Applied Systemic Studies · 2010
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.