Interactive Learning Environments LIA: an Intelligent Advisor for e-Learning

نویسندگان

  • Nicola Capuano
  • Matteo Gaeta
  • Agostino Marengo
  • Sergio Miranda
  • Francesco Orciuoli
  • Pierluigi Ritrovato
چکیده

Intelligent e-learning systems have revolutionized online education by providing individualized and personalized instruction for each learner. Nevertheless, till now very few systems were able to leave academic labs and be integrated in real commercial products. One of these few exceptions is the Learning Intelligent Advisor (LIA) described in this paper, built on results coming from several research projects and currently integrated in a complete e-learning solution named IWT. The purpose of this paper is to describe how LIA works and cooperates with IWT in the provisioning of individualized e-learning experiences. Defined algorithms and underlying models are described as well as architectural aspects related to the integration in IWT. Results of experimentations with real users are discussed to demonstrate the benefits of LIA as an add-on in on-line learning.

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تاریخ انتشار 2009