According to the social constructivism paradigm, knowledge is not transferred from teachers to students, but is the result of collaborative activities; when these activities take place in a mobile environment, it is extremely important to consider how the temporal and spatial factors can influence the collaborative process. In this work we define a model for mobile Knowledge Building Process (mKBP); starting from this model, we propose to analyse the evolution of a mobile collaborative learning experience through its interactions with the social, the information and the geographic spaces. Finally, we present the methodologies and the tools used to investigate the data gathered during a specific mobile learning experience carried out at the Institute for Educational Technologies of the Italian National Research Council, in the framework of the Mobile and Ubiquitous Learning (MoULe) project.

Social knowledge building in a mobile learning environment

Gentile M;Taibi D;Seta L;Arrigo M;Fulantelli G;Di Giuseppe O;
2007

Abstract

According to the social constructivism paradigm, knowledge is not transferred from teachers to students, but is the result of collaborative activities; when these activities take place in a mobile environment, it is extremely important to consider how the temporal and spatial factors can influence the collaborative process. In this work we define a model for mobile Knowledge Building Process (mKBP); starting from this model, we propose to analyse the evolution of a mobile collaborative learning experience through its interactions with the social, the information and the geographic spaces. Finally, we present the methodologies and the tools used to investigate the data gathered during a specific mobile learning experience carried out at the Institute for Educational Technologies of the Italian National Research Council, in the framework of the Mobile and Ubiquitous Learning (MoULe) project.
2007
Istituto per le Tecnologie Didattiche - ITD - Sede Genova
mobile learning
social knowledge building
social network analysis
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/27506
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