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.

A Recommender System for Learning Goals

CAPUANO, Nicola;GAETA, Matteo;MIRANDA, Sergio;RITROVATO, Pierluigi;SALERNO, Saverio
2013

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.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11386/3767477
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