Resumé
Originalsprog | Engelsk |
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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 |
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Land | USA |
By | Boulder, Colorado |
Periode | 07/01/2002 → 11/01/2002 |
Citer dette
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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
TY - GEN
T1 - Use of the CANTOR system for collaborative learning in medical visual object recognition
AU - Sønderstrup-Andersen, Hans H. K.
AU - Andersen, Verner
AU - Skov, Birgit Guldhammer
PY - 2002
Y1 - 2002
N2 - 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.
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.
M3 - Article in proceedings
SP - 544
EP - 545
BT - CSCL '02 Proceedings of the Conference on Computer Support for Collaborative Learning:
A2 - Stahl, Gerry
PB - International Society of the Learning Sciences
ER -