Use of the CANTOR system for collaborative learning in medical visual object recognition

Hans H. K. Sønderstrup-Andersen; Verner Andersen; Birgit Guldhammer Skov

Use of the CANTOR system for collaborative learning in medical visual object recognition

Hans H. K. Sønderstrup-Andersen, Verner Andersen, Birgit Guldhammer Skov

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning

Abstract

This paper reports from a user requirement, design and evaluation study on supporting collaborative learning by visual perception in the medical education domain. The CANTOR (Converging Agreement by Networking Telematics for Object Recognition) system can briefly be described as a tool that support collaborative consensus making when classifying sets of medical images or objects in medical images An evaluation experiment showed that using CANTOR seems to give a better learning effect than by using traditional methods.

Originalsprog	Engelsk
Titel	CSCL '02 Proceedings of the Conference on Computer Support for Collaborative Learning: Foundations for a CSCL Community
Redaktører	Gerry Stahl
Forlag	International Society of the Learning Sciences
Publikationsdato	2002
Sider	544-545
Status	Udgivet - 2002
Udgivet eksternt	Ja
Begivenhed	CSCL 2002 Conference on Computer Support for Collaborative Learning : Foundations for a CSCL Community - Boulder, Colorado, USA Varighed: 7 jan. 2002 → 11 jan. 2002

Konference

Konference	CSCL 2002 Conference on Computer Support for Collaborative Learning
Land	USA
By	Boulder, Colorado
Periode	07/01/2002 → 11/01/2002

Citer dette

Sønderstrup-Andersen, Hans H. K. ; Andersen, Verner ; Skov, Birgit Guldhammer. / Use of the CANTOR system for collaborative learning in medical visual object recognition. CSCL '02 Proceedings of the Conference on Computer Support for Collaborative Learning: : Foundations for a CSCL Community . red. / Gerry Stahl. International Society of the Learning Sciences, 2002. s. 544-545

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title = "Use of the CANTOR system for collaborative learning in medical visual object recognition",

abstract = "This paper reports from a user requirement, design and evaluation study on supporting collaborative learning by visual perception in the medical education domain. The CANTOR (Converging Agreement by Networking Telematics for Object Recognition) system can briefly be described as a tool that support collaborative consensus making when classifying sets of medical images or objects in medical images An evaluation experiment showed that using CANTOR seems to give a better learning effect than by using traditional methods.",

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Sønderstrup-Andersen, HHK, Andersen, V & Skov, BG 2002, Use of the CANTOR system for collaborative learning in medical visual object recognition. i G Stahl (red.), CSCL '02 Proceedings of the Conference on Computer Support for Collaborative Learning: : Foundations for a CSCL Community . International Society of the Learning Sciences, s. 544-545, CSCL 2002 Conference on Computer Support for Collaborative Learning , Boulder, Colorado, USA, 07/01/2002.

Use of the CANTOR system for collaborative learning in medical visual object recognition. / Sønderstrup-Andersen, Hans H. K.; Andersen, Verner; Skov, Birgit Guldhammer.

CSCL '02 Proceedings of the Conference on Computer Support for Collaborative Learning: : Foundations for a CSCL Community . red. / Gerry Stahl. International Society of the Learning Sciences, 2002. s. 544-545.

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning

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AB - This paper reports from a user requirement, design and evaluation study on supporting collaborative learning by visual perception in the medical education domain. The CANTOR (Converging Agreement by Networking Telematics for Object Recognition) system can briefly be described as a tool that support collaborative consensus making when classifying sets of medical images or objects in medical images An evaluation experiment showed that using CANTOR seems to give a better learning effect than by using traditional methods.

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BT - CSCL '02 Proceedings of the Conference on Computer Support for Collaborative Learning:

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