The huge quantity of data, media, applications, and services - in one word, resources - that are accumulating day after day on the Web makes it more and more difficult to search the network in an effective and helpful way. We usually spend a lot of the time trying to “filter out” what we consider “noise” added to the “good information” for which we are looking. Whatever the search domain, this messy and discouraging situation cannot be handled by general search engine, such as Google. We also face similar problems in the instructional domain. In this paper we focus on the need for creating tools that can help classifying and retrieving digital Web resources for Computer-Aided Instruction processes. We propose a strong, but simple and flexible, classification scheme, which can be easily and profitably used by a Web community (of teachers, learners, and others) to create a database of references to digital instructional resources. Our classification scheme uses a blended top-down/bottom-up approach with a Delicious-like annotation

Risorse Web per didattica assistita da computer: uno schema di classificazione misto

BRUNI, Filippo;
2011-01-01

Abstract

The huge quantity of data, media, applications, and services - in one word, resources - that are accumulating day after day on the Web makes it more and more difficult to search the network in an effective and helpful way. We usually spend a lot of the time trying to “filter out” what we consider “noise” added to the “good information” for which we are looking. Whatever the search domain, this messy and discouraging situation cannot be handled by general search engine, such as Google. We also face similar problems in the instructional domain. In this paper we focus on the need for creating tools that can help classifying and retrieving digital Web resources for Computer-Aided Instruction processes. We propose a strong, but simple and flexible, classification scheme, which can be easily and profitably used by a Web community (of teachers, learners, and others) to create a database of references to digital instructional resources. Our classification scheme uses a blended top-down/bottom-up approach with a Delicious-like annotation
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/11695/1597
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact