Tracking and Annotation in Skills-Based Learning Environments
Tracking and Annotation in Skills-Based Learning Environments
This paper outlines a series of experiments looking at the annotation and subsequent analysis of skills-based learning and teaching in the domain of Nursing. The experiments used Semantic Web technologies to create and store annotations of the student’s activities. A number of techniques were used to create these annotations ranging from manual textual annotations by observers through to automatic spatial annotations from a location tracking system. Combining these annotations sets points towards new methods for analysis of both student learning and educational viewpoints on such skills-based labs. Initial observations from these proof of concept studies will be presented along with future directions the work may take.
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Weal, Mark J.
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Michaelides, Danius T.
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Page, Kevin R.
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De Roure, David C.
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Gobbi, Mary
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Monger, Eloise
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Martinez, Fernando
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9 March 2009
Weal, Mark J.
e8fd30a6-c060-41c5-b388-ca52c81032a4
Michaelides, Danius T.
a6df5175-d71a-4cd4-befc-26c48235fb92
Page, Kevin R.
f9b006ae-e59e-4607-8279-487d80419f59
De Roure, David C.
02879140-3508-4db9-a7f4-d114421375da
Gobbi, Mary
829a5669-2d52-44ef-be96-bc57bf20bea0
Monger, Eloise
38e8d3f2-e364-4d50-8542-6fc8cf096481
Martinez, Fernando
a90d1372-718f-48b2-a840-4f36e5ef35cc
Weal, Mark J., Michaelides, Danius T., Page, Kevin R., De Roure, David C., Gobbi, Mary, Monger, Eloise and Martinez, Fernando
(2009)
Tracking and Annotation in Skills-Based Learning Environments.
In Proceedings of the 2009 IEEE International Conference on Pervasive Computing and Communications.
IEEE.
.
(doi:10.1109/PERCOM.2009.4912884).
Record type:
Conference or Workshop Item
(Paper)
Abstract
This paper outlines a series of experiments looking at the annotation and subsequent analysis of skills-based learning and teaching in the domain of Nursing. The experiments used Semantic Web technologies to create and store annotations of the student’s activities. A number of techniques were used to create these annotations ranging from manual textual annotations by observers through to automatic spatial annotations from a location tracking system. Combining these annotations sets points towards new methods for analysis of both student learning and educational viewpoints on such skills-based labs. Initial observations from these proof of concept studies will be presented along with future directions the work may take.
More information
Published date: 9 March 2009
Additional Information:
Event Dates: 09/03/2009
Venue - Dates:
PerEL 2009: IEEE International Workshop on PervasivE Learning as part of of the 7th Annual IEEE International Conference on Pervasive Computing and Communication, Galveston, USA, 2009-03-09 - 2009-03-13
Identifiers
Local EPrints ID: 72388
URI: http://eprints.soton.ac.uk/id/eprint/72388
PURE UUID: 33a17f82-f696-49f9-a4c5-caf3e0fcac6f
Catalogue record
Date deposited: 11 Feb 2010
Last modified: 14 Mar 2024 02:42
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Contributors
Author:
Mark J. Weal
Author:
Danius T. Michaelides
Author:
Kevin R. Page
Author:
David C. De Roure
Author:
Mary Gobbi
Author:
Fernando Martinez
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