A Web-Based Knowledge Hub for Special and Inclusive Education

Vincenza Benigno, Nicola Capuano, Giuseppina Rita Mangione


The need of a common environment where to share information and knowledge is of particular interest in the field of special education not only to support the access to a large amount of available information (along with the ability to derive value from this information) but also to foster synergistic actions involving different special education operators. In this paper we present the results of a research aimed at defining a Web-based environment for special edu-cation providing, to operators of the field, personalized in-formation and digital assets covering both their expressed and latent information needs. Offered personalization features are based on the definition and the implementation of a hybrid recommender system based on a mix of cognitive and collaborative approaches, the first based on the similarities among digital objects, the latter leveraging on similarities among user profiles. By combining these two approaches the system is able to provide meaningful but not obvious recommendations with a fair level of serendipity. The encouraging results of an experimentation with real users are also reported.


digital repositories; recommender systems; adaptive learning; special education

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Copyright (c) 2017 Vincenza Benigno, Nicola Capuano, Giuseppina Rita Mangione

International Journal of Emerging Technologies in Learning (iJET) – eISSN: 1863-0383
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