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 |
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Pages (from-to) | 227-242 |
Number of pages | 16 |
Journal | International Journal of Applied Systemic Studies |
Volume | 3 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2010 Jul |
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Computer Science Applications
- Information Systems and Management