Implementing agents for a collaborative online learning environment

This paper discusses the main lines used to model intelligent agents that will operate in a Collaborative Online Learning Environment-COLE. The aim of COLE is to evaluate the contribution that Information Technology and Multiagent Systems can bring to the discussion about new adult learning processe...

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Autores principales: Azevedo, Hilton José Silva de, Scalabrin, Edson Emílio, Faria, Marcio de Paula, Manfroi, Fairus
Formato: Articulo
Lenguaje:Inglés
Publicado: 2004
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/9487
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Aug04-3.pdf
Aporte de:
id I19-R120-10915-9487
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
distance education; online collaborative learning; learning environments; multiagent systems
Sistemas multiagentes
Informática y educación
Aprendizaje colaborativo
Educación a distancia
spellingShingle Ciencias Informáticas
distance education; online collaborative learning; learning environments; multiagent systems
Sistemas multiagentes
Informática y educación
Aprendizaje colaborativo
Educación a distancia
Azevedo, Hilton José Silva de
Scalabrin, Edson Emílio
Faria, Marcio de Paula
Manfroi, Fairus
Implementing agents for a collaborative online learning environment
topic_facet Ciencias Informáticas
distance education; online collaborative learning; learning environments; multiagent systems
Sistemas multiagentes
Informática y educación
Aprendizaje colaborativo
Educación a distancia
description This paper discusses the main lines used to model intelligent agents that will operate in a Collaborative Online Learning Environment-COLE. The aim of COLE is to evaluate the contribution that Information Technology and Multiagent Systems can bring to the discussion about new adult learning processes. The work hypothesis is that online environments can better handle the huge mass of data related to human interactions in social learning processes than the face-to-face educational ones. Acquiring and managing expanded sets of data has been an obstacle to implement educational practices that consider students in broader dimensions, far beyond content assessment. Elements of the Social Learning Theory, specifically concepts from the Communities of Practice base COLE implementation. A brief description of Project Based Learning - PBL and portfolios (here conceptual maps) give elements to understand the project approach. The SAAS method, used to identify the agents is described. Use cases related to the "Librarian Agent" and the "Portfolio Agent" are presented and windows related to the "portfolio" and "active reading annotation" services illustrate the work.
format Articulo
Articulo
author Azevedo, Hilton José Silva de
Scalabrin, Edson Emílio
Faria, Marcio de Paula
Manfroi, Fairus
author_facet Azevedo, Hilton José Silva de
Scalabrin, Edson Emílio
Faria, Marcio de Paula
Manfroi, Fairus
author_sort Azevedo, Hilton José Silva de
title Implementing agents for a collaborative online learning environment
title_short Implementing agents for a collaborative online learning environment
title_full Implementing agents for a collaborative online learning environment
title_fullStr Implementing agents for a collaborative online learning environment
title_full_unstemmed Implementing agents for a collaborative online learning environment
title_sort implementing agents for a collaborative online learning environment
publishDate 2004
url http://sedici.unlp.edu.ar/handle/10915/9487
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Aug04-3.pdf
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