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A Metrics Framework for Evaluating Group Formation

A Metrics Framework for Evaluating Group Formation
A Metrics Framework for Evaluating Group Formation
Many approaches to learning and teaching rely upon students working in groups. So far, many Computer-Supported Group Formation systems have been designed to facilitate the formation of optimal groups in learning. However, evaluating the quality of automated group formation is not always well reported. In this paper we propose a metrics framework for evaluating group formation based upon a model for constraint satisfaction-based group formation.
Computer Uses in Education, collaborative learning, computer-assisted instruction, distance learning, Efficiency, Group Formation, Optimization
978-1-59593-845-9
221-224
Ounnas, Asma
37ff7f9c-0d00-4168-984e-a09aacf27da9
Millard, David
4f19bca5-80dc-4533-a101-89a5a0e3b372
Davis, Hugh
1608a3c8-0920-4a0c-82b3-ee29a52e7c1b
Ounnas, Asma
37ff7f9c-0d00-4168-984e-a09aacf27da9
Millard, David
4f19bca5-80dc-4533-a101-89a5a0e3b372
Davis, Hugh
1608a3c8-0920-4a0c-82b3-ee29a52e7c1b

Ounnas, Asma, Millard, David and Davis, Hugh (2007) A Metrics Framework for Evaluating Group Formation. ACM Group'07, United States. pp. 221-224 .

Record type: Conference or Workshop Item (Paper)

Abstract

Many approaches to learning and teaching rely upon students working in groups. So far, many Computer-Supported Group Formation systems have been designed to facilitate the formation of optimal groups in learning. However, evaluating the quality of automated group formation is not always well reported. In this paper we propose a metrics framework for evaluating group formation based upon a model for constraint satisfaction-based group formation.

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More information

Published date: 2007
Additional Information: Event Dates: 4-7th November 2007
Venue - Dates: ACM Group'07, United States, 2007-11-07
Keywords: Computer Uses in Education, collaborative learning, computer-assisted instruction, distance learning, Efficiency, Group Formation, Optimization
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 264312
URI: https://eprints.soton.ac.uk/id/eprint/264312
ISBN: 978-1-59593-845-9
PURE UUID: 6bda492e-72d8-47d4-bda0-61fd91edd41a
ORCID for David Millard: ORCID iD orcid.org/0000-0002-7512-2710
ORCID for Hugh Davis: ORCID iD orcid.org/0000-0002-1182-1459

Catalogue record

Date deposited: 16 Jul 2007
Last modified: 20 Jul 2019 01:27

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