Semantic Web and Agent-Based Technologies in Adaptation of e-Learning Systems

نویسندگان

  • Ekaterina Vasilyeva
  • Denis Kozlov
چکیده

The paper discusses some basic applications of semantic web and agent-based technologies to the adaptation of e-learning systems. The material is presented in the following order. Firstly, the basic principles underlying e-learning, adaptive e-learning and agent-based technologies are clarified, and then we discuss the well known in the literature example how agent-based technologies can be implemented for the area of e-learning systems, viz. the multi-agent system of Athabasca University for course personalization.

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تاریخ انتشار 2005