Abstract

The ever growing importance of e-learning over the last decade has triggered an explosion of resources available on the Web. Although this multiplicity of available resources can foster the development of a critical spirit, discernment and the student’s ability to weigh up the merits of different points of view, it can also induce disorientation in the search for the resources best suited to her/his needs and learning style. This issue has driven research into recommendation systems, already well known in fields such as e-commerce, applied to e-learning environments. However, in such environments the recommendations can only be efficacious if the system is able to deal with the many different factors involved in the learning process, such as the learning goal and the student’s cognitive features. This work proposes a recommendation strategy that combines, by adopting a hybrid cascade approach, two knowledge-based techniques that can take these factors into account in the recommendation process.

Autore Pugliese

• Roselli Teresa , Rossano Veronica

Tutti gli autori

• ROSELLI T.;ROSSANO V.

Titolo volume/Rivista

Non Disponibile

Anno di pubblicazione

2010

ISSN

1826-6223

ISBN

Non Disponibile

Numero di citazioni Wos

Nessuna citazione

Ultimo Aggiornamento Citazioni

Non Disponibile

Numero di citazioni Scopus

7

Ultimo Aggiornamento Citazioni

Non Disponibile

Settori ERC

Non Disponibile

Codici ASJC

Non Disponibile