LIA: An Intelligent Advisor for E-Learning
ARTICLE
Nicola Capuano, Matteo Gaeta, Agostino Marengo, Sergio Miranda, Francesco Orciuoli, Pierluigi Ritrovato
Interactive Learning Environments Volume 17, Number 3, ISSN 1049-4820
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/.
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Cited By
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Knowledge-based assessment in serious games: an experience on emergency training
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Journal of e-Learning and Knowledge Society Vol. 11, No. 3 (Sep 30, 2015)
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Personalized Learning in Mathematics
Giovannina Albano, Sergio Miranda & Anna Pierri, Universit di Salerno
Journal of e-Learning and Knowledge Society Vol. 11, No. 1 (Jan 29, 2015)
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