Abstract

Intelligent e-learning systems have revolutionized online education by providing individualized and personalized instruction for each learner. Nevertheless, until now very few systems were able to leave academic laboratories and be integrated into real commercial products. One of these few exceptions is the Learning Intelligent Advisor (LIA) described in this article, built on results coming from several research projects and currently integrated in a complete e-learning solution named Intelligent Web Teacher (IWT). The purpose of this article 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 online learning. (Contains 6 figures and 2 tables.)

Citation

Capuano, N., Gaeta, M., Marengo, A., Miranda, S., Orciuoli, F. & Ritrovato, P. (2009). LIA: An Intelligent Advisor for E-Learning. Interactive Learning Environments, 17(3), 221-239. Retrieved August 15, 2024 from https://www.learntechlib.org/p/64824/.

This record was imported from ERIC on April 19, 2013. [Original Record]

ERIC is sponsored by the Institute of Education Sciences (IES) of the U.S. Department of Education.

Copyright for this record is held by the content creator. For more details see ERIC's copyright policy.

Keywords

• architecture
• Computer Assisted Instruction
• distance education
• electronic learning
• EVALUATION METHODS
• Individualized Instruction
• Integrated Learning Systems
• Laboratories
• learning
• Learning Activities
• models
• online courses