The aim of a recommender system is to estimate the utility of a set of objects belonging to a given domain, starting from the information available about users and objects. Adaptive e-learning systems are able to automatically generate personalized learning experiences starting from a learner profile and a set of target learning goals. Starting form research results of these fields we defined a methodology to recommend learning goals and to generate learning experiences for learners of an adaptive e-learning system. © Springer-Verlag Berlin Heidelberg 2013.

A recommender system for learning goals

Capuano N.;
2013-01-01

Abstract

The aim of a recommender system is to estimate the utility of a set of objects belonging to a given domain, starting from the information available about users and objects. Adaptive e-learning systems are able to automatically generate personalized learning experiences starting from a learner profile and a set of target learning goals. Starting form research results of these fields we defined a methodology to recommend learning goals and to generate learning experiences for learners of an adaptive e-learning system. © Springer-Verlag Berlin Heidelberg 2013.
2013
978-3-642-35878-4
978-3-642-35879-1
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11563/141789
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