The importance of “culture of learning” has been pointed out by many authors and is an emerging feature of e-learning. Our basic assumption, as Bruner has pointed out, is that learning is fully embedded in the cultural roots of the community in which people live. In this paper we propose a computational model of learning from expertise based on the theory of approximated reasoning developed by Gerla in [2] and on the studies on language made by Vygotskij and its school ([6] ,[5]). In our interpretation, expertise is an ability acquired mostly by experience. Our research is also supported by a software prototype that we are developing at University of Salerno, that we use for methodological purposes.
e Learning from Expertize: A Computatinal Approach to a Non-Textual Culuture of Learning
ALBANO, Giovannina;
2001-01-01
Abstract
The importance of “culture of learning” has been pointed out by many authors and is an emerging feature of e-learning. Our basic assumption, as Bruner has pointed out, is that learning is fully embedded in the cultural roots of the community in which people live. In this paper we propose a computational model of learning from expertise based on the theory of approximated reasoning developed by Gerla in [2] and on the studies on language made by Vygotskij and its school ([6] ,[5]). In our interpretation, expertise is an ability acquired mostly by experience. Our research is also supported by a software prototype that we are developing at University of Salerno, that we use for methodological purposes.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
