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

Resumé

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.
OriginalsprogEngelsk
TitelCSCL '02 Proceedings of the Conference on Computer Support for Collaborative Learning: Foundations for a CSCL Community
RedaktørerGerry Stahl
ForlagInternational Society of the Learning Sciences
Publikationsdato2002
Sider544-545
StatusUdgivet - 2002
Udgivet eksterntJa
BegivenhedCSCL 2002 Conference on Computer Support for Collaborative Learning : Foundations for a CSCL Community - Boulder, Colorado, USA
Varighed: 7 jan. 2002 → 11 jan. 2002

Konference

KonferenceCSCL 2002 Conference on Computer Support for Collaborative Learning
LandUSA
ByBoulder, Colorado
Periode07/01/2002 → 11/01/2002

Citer dette

Sønderstrup-Andersen, H. H. K., Andersen, V., & Skov, B. G. (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 (s. 544-545). International Society of the Learning Sciences.
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.",
author = "S{\o}nderstrup-Andersen, {Hans H. K.} and Verner Andersen and Skov, {Birgit Guldhammer}",
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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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Sønderstrup-Andersen HHK, Andersen V, Skov BG. Use of the CANTOR system for collaborative learning in medical visual object recognition. I Stahl G, red., CSCL '02 Proceedings of the Conference on Computer Support for Collaborative Learning: : Foundations for a CSCL Community . International Society of the Learning Sciences. 2002. s. 544-545