Nowadays, teachers tend to build their own didactic local repository composed by learning objects retrieved from web repositories or, in most cases, by self-made didactic material. In this way they do not share their teaching experience, loosing a precious shortcut to a fast professional update and to an improvement of their teaching activity. In this paper we address the problem of helping teachers to retrieve didactic material from a repository through a didactic social network where teachers with similar Teaching Styles, can help each other in retrieving educational material. To this aim a teaching-styles based social network is built following the Grasha TS paradigm. We present a first evaluation of the network embedded in a web application.

Limongelli, C.,  lombardi, M., Marani, A.,  sciarrone, F. (2013). A teaching-style based social network for didactic building and sharing. In Artificial Intelligence in Education (pp.774-777). BERLIN : Lecture Notes in Computer Science, Springer [10.1007/978-3-642-39112-5_110].

A teaching-style based social network for didactic building and sharing

LIMONGELLI, Carla;
2013

Abstract

Nowadays, teachers tend to build their own didactic local repository composed by learning objects retrieved from web repositories or, in most cases, by self-made didactic material. In this way they do not share their teaching experience, loosing a precious shortcut to a fast professional update and to an improvement of their teaching activity. In this paper we address the problem of helping teachers to retrieve didactic material from a repository through a didactic social network where teachers with similar Teaching Styles, can help each other in retrieving educational material. To this aim a teaching-styles based social network is built following the Grasha TS paradigm. We present a first evaluation of the network embedded in a web application.
978-3-642-39111-8
Limongelli, C.,  lombardi, M., Marani, A.,  sciarrone, F. (2013). A teaching-style based social network for didactic building and sharing. In Artificial Intelligence in Education (pp.774-777). BERLIN : Lecture Notes in Computer Science, Springer [10.1007/978-3-642-39112-5_110].
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/160892
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 25
  • ???jsp.display-item.citation.isi??? ND
social impact