Título:
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A quantitative treatment to data from computer-supported collaboration: an ontological approach
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Autor/a:
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Casillas Santillán, Luis Alberto; Daradoumis Haralabus, Atanasi
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Otros autores:
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Universitat Oberta de Catalunya. Distributed, Parallel and Collaborative Systems (DPCS) |
Abstract:
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Collaborative activity performed over specific
platforms, designed for such purpose, can provide a
deep knowledge about the roles, intentions and effects
regarding participants and their interaction among
themselves and with the knowledge objects available.
This study aims at proposing a structured process for
gathering the semantics of the activity hidden behind
the raw data collected in log files from CSCL
platforms. The proposal is based on exploring the
semantic elements (activity awareness) through a
social networks analysis (SNA). The main focus of our
work is to match different behavioral profiles detected
in the collaborative activity from CSCL with the formal
profiles identified inside a complex concept-network.
This network defines an ontology that describes the
behavior expected when collaborating in different
scenarios and types of activity. When a certain activity
sequence matches with a predefined pattern, the
concepts related to the pattern are then bound to the
real activity sequence. |
Materia(s):
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-Educational technology -Internet en la enseñanza universitaria -Web-based instruction -Education, Higher -- Effect of technological innovations on -Group work in education -Tecnologia educativa -Internet en l'ensenyament universitari -Ensenyament virtual -Ensenyament universitari -- Efecte de les innovacions tecnològiques -Treball en equip -Tecnología educativa -Internet en la enseñanza universitaria -Enseñanza virtual -Enseñanza universitaria -- Efectos de las innovaciones tecnológicas -Trabajo en equipo |
Derechos:
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(c) 2008 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. |
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