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

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

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearch

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.
Original languageEnglish
Title of host publicationCSCL '02 Proceedings of the Conference on Computer Support for Collaborative Learning: Foundations for a CSCL Community
EditorsGerry Stahl
PublisherInternational Society of the Learning Sciences
Publication date2002
Pages544-545
Publication statusPublished - 2002
Externally publishedYes
EventCSCL 2002 Conference on Computer Support for Collaborative Learning : Foundations for a CSCL Community - Boulder, Colorado, United States
Duration: 7 Jan 200211 Jan 2002

Conference

ConferenceCSCL 2002 Conference on Computer Support for Collaborative Learning
CountryUnited States
CityBoulder, Colorado
Period07/01/200211/01/2002

Cite this

Sønderstrup-Andersen, H. H. K., Andersen, V., & Skov, B. G. (2002). Use of the CANTOR system for collaborative learning in medical visual object recognition. In G. Stahl (Ed.), CSCL '02 Proceedings of the Conference on Computer Support for Collaborative Learning: : Foundations for a CSCL Community (pp. 544-545). International Society of the Learning Sciences.