The University of Southampton
University of Southampton Institutional Repository

Tracking and Annotation in Skills-Based Learning Environments

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.
1-6
IEEE
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.
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. pp. 1-6 . (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.

Text
PerEL-05 - Other
Download (3MB)

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
ORCID for Mark J. Weal: ORCID iD orcid.org/0000-0001-6251-8786
ORCID for David C. De Roure: ORCID iD orcid.org/0000-0001-9074-3016
ORCID for Eloise Monger: ORCID iD orcid.org/0000-0003-2799-0596

Catalogue record

Date deposited: 11 Feb 2010
Last modified: 14 Mar 2024 02:42

Export record

Altmetrics

Contributors

Author: Mark J. Weal ORCID iD
Author: Danius T. Michaelides
Author: Kevin R. Page
Author: David C. De Roure ORCID iD
Author: Mary Gobbi
Author: Eloise Monger ORCID iD
Author: Fernando Martinez

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×