Abstract | ||
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In order to meet learnerspsila personalized learning requirements in e-learning. On the basis of analyzing and comparing typical learning systems of several universities, this paper presents a personalized learning system based on intelligent agent. The system includes learning tools, managing tools, assistant teaching tools and intelligent agent assistant, which incorporates decision tree and fuzzy matching to acquire and use instruction strategies to form a personalized human-computer interaction. |
Year | DOI | Venue |
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2009 | 10.1109/HIS.2009.251 | HIS (3) |
Keywords | Field | DocType |
use instruction strategy,fuzzy reasoning,intelligent agent,intelligent tutoring systems,personalized human-computer interaction,e-learning,managing tool,human computer interaction,assistant teaching tool,instruction strategy,personalized e-learning system,pattern matching,multi-agent systems,intelligent agent assistant,fuzzy matching,personalized learning system,typical learning system,decision tree,decision trees,human-computer interaction,data mining,multi agent systems,electronic learning,personalized learning | Decision tree,Intelligent agent,E learning,Fuzzy reasoning,Computer science,Multi-agent system,Artificial intelligence,Approximate string matching,Personalized learning,Pattern matching,Machine learning | Conference |
Volume | ISBN | Citations |
3 | 978-0-7695-3745-0 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |