An agent enabling personalized learning in e-learning environments

  • Authors:
  • Hongchi Shi;Spyridon Revithis;Su-Shing Chen

  • Affiliations:
  • University of Missouri-Columbia, Columbia, MO;University of Missouri-Columbia, Columbia, MO;University of Florida, Gainesville, FL

  • Venue:
  • Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
  • Year:
  • 2002

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Abstract

In this work we focus on the potential of intelligent agents in e-learning environments. A central problem is the modeling of human learners so that the agent can facilitate personalized learning. The solution presented here is based on a connectionist approach. An intelligent agent, which replaces the human instructor, controls an e-learning environment and exploits a self-organizing map (SOM) learner behavioral model in order to achieve the learning goal. The learner SOM model has been implemented. The experiments support the argument that e-learning environments are feasible and can significantly assist dissemination of knowledge within modern educational settings.