The University of Southampton
University of Southampton Institutional Repository

Semantic Modeling for Group Formation

Semantic Modeling for Group Formation
Semantic Modeling for Group Formation
Group formation has always been a subject of interest in collaborative learning research. As it is concerned with assigning learners to the groups that maximize their benefits, computer-supported group formation can be viewed in this context as an active personalization for the individual as an entity within the group. While applying this personalization to all students in the class can cause conflicts due to the differences of needs and interests between the individuals, negotiating the allocations to groups to reach consensus can be a very challenging task. The automated process of grouping students while preserving the individual’s personalization needs to be supported by an appropriate learner model. In this paper, we propose a semantic learner model based on the Friend of Friend (FOAF) ontology, a vocabulary for mapping social networks. We discuss the model as we analyse the different types of groups and the learners’ features that need to be modeled for each of these types.
Learner modeling, personalization, semantics, ontology, social networks, communities of practice, teams, group formation, FOAF.
Ounnas, Asma
37ff7f9c-0d00-4168-984e-a09aacf27da9
Davis, Hugh C
1608a3c8-0920-4a0c-82b3-ee29a52e7c1b
Millard, David E
4f19bca5-80dc-4533-a101-89a5a0e3b372
Ounnas, Asma
37ff7f9c-0d00-4168-984e-a09aacf27da9
Davis, Hugh C
1608a3c8-0920-4a0c-82b3-ee29a52e7c1b
Millard, David E
4f19bca5-80dc-4533-a101-89a5a0e3b372

Ounnas, Asma, Davis, Hugh C and Millard, David E (2007) Semantic Modeling for Group Formation. Workshop on Personalisation in E-Learning Environments at Individual and Group Level (PING) at the 11th International Conference on User Modeling UM2007, Greece.

Record type: Conference or Workshop Item (Paper)

Abstract

Group formation has always been a subject of interest in collaborative learning research. As it is concerned with assigning learners to the groups that maximize their benefits, computer-supported group formation can be viewed in this context as an active personalization for the individual as an entity within the group. While applying this personalization to all students in the class can cause conflicts due to the differences of needs and interests between the individuals, negotiating the allocations to groups to reach consensus can be a very challenging task. The automated process of grouping students while preserving the individual’s personalization needs to be supported by an appropriate learner model. In this paper, we propose a semantic learner model based on the Friend of Friend (FOAF) ontology, a vocabulary for mapping social networks. We discuss the model as we analyse the different types of groups and the learners’ features that need to be modeled for each of these types.

PDF
SMGF.pdf - Other
Download (55kB)

More information

Published date: June 2007
Venue - Dates: Workshop on Personalisation in E-Learning Environments at Individual and Group Level (PING) at the 11th International Conference on User Modeling UM2007, Greece, 2007-06-01
Keywords: Learner modeling, personalization, semantics, ontology, social networks, communities of practice, teams, group formation, FOAF.
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 263699
URI: https://eprints.soton.ac.uk/id/eprint/263699
PURE UUID: 2bd6db42-1eba-4505-9301-ad206bde6dac
ORCID for Hugh C Davis: ORCID iD orcid.org/0000-0002-1182-1459
ORCID for David E Millard: ORCID iD orcid.org/0000-0002-7512-2710

Catalogue record

Date deposited: 15 Mar 2007
Last modified: 06 Jun 2018 13:16

Export record

Contributors

Author: Asma Ounnas
Author: Hugh C Davis ORCID iD
Author: David E Millard ORCID iD

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×