An agent enabling personalized learning in e-learning environments
Hongchi Shi, Spyridon Revithis, Su‐Shing Chen · 2002
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.