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;
2013-01-01

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.
2013
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].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/160892
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