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Tagging learning objects in Moodle for personalisation and re-use

Tagging learning objects in Moodle for personalisation and re-use

Peter, S., MacKinnon, L., Bacon, E. and Dastbaz, M. (2011) Tagging learning objects in Moodle for personalisation and re-use. In: Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 2011. Association for the Advancement of Computing in Education, Chesapeake, VA, USA, pp. 2259-2266. ISBN 1-880094-85-X

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Abstract

Bateman et al (2007) state that tagging is largely unemployed in elearning systems. Common e-learning platforms (for example Moodle) offer course and learner management tools, however, previous research has found that they offer little in the way of enabling the author to tag learning resources or objects for personalisation and re-use. This paper describes current e-learning platforms, evaluation research and research into the use of tagging to describe learning objects within e-learning systems. It then continues to describe a model for tagging learning objects for personalization and re-use. The model described allows for tagging learning objects according to their subject domain, topic, knowledge level and also by learning style representation. This model has been implemented in Moodle and a description of how this implementation was undertaken is given.
(pp. 2259-2266). Chesapeake, VA: AACE.
Retrieved from http://www.editlib.org/p/38173.

Item Type: Conference Proceedings
Title of Proceedings: Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 2011
Additional Information: [1] In proceedings of ED-MEDIA 2011 - World Conference on Educational Multimedia, Hypermedia & Telecommunications, held 27 June 27 - 1 July 2011, in Lisbon, Portugal. [2] EdITLib is a development of Global U - Learning & Technology Innovation Sponsored by the Association for the Advancement of Computing in Education (AACE).
Uncontrolled Keywords: tagging, e-learning systems, Moodle
Subjects: L Education > LB Theory and practice of education
Q Science > QA Mathematics > QA76 Computer software
T Technology > T Technology (General)
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Department of Computing and Information Systems
School of Computing & Mathematical Sciences > Department of Creative Digital Technologies
Related URLs:
Last Modified: 14 Oct 2016 09:17
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/6910

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