You are here:

Learner model servers: personalization of web based educational applications based on digital collections.
PROCEEDINGS

, , Universidad de las Americas, Mexico

EdMedia + Innovate Learning, in Honolulu, Hawaii, USA ISBN 978-1-880094-48-8 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC

Abstract

We introduce a learner model server for the personalization of more than one learning environment based on digital collections of educational resources. In this paper we present the learner model as a set of beliefs shared by diverse applications about the interests of the learner. We consider that the interests of the learners are the basic issue for successful collaborative learning and interaction in a virtual community based on a digital collection of educational resources. We have implemented our learner model server through reasoning with uncertainty, based on probabilistic values assigned to the beliefs. These values represent the degree of belief about the interest of the learner on a given educational resource. The model has been tested on diverse educational applications as clients to the server, showing personalization and adaptability.

Citation

Ayala, G. & Paredes, R. (2003). Learner model servers: personalization of web based educational applications based on digital collections. In D. Lassner & C. McNaught (Eds.), Proceedings of ED-MEDIA 2003--World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 432-435). Honolulu, Hawaii, USA: Association for the Advancement of Computing in Education (AACE). Retrieved January 18, 2020 from .

Keywords