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Enhancing Deep Learning in Sports Science: The Application of Rich Media Visualization Techniques in Mobile and Reusable Learning Objects.
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, , , RLO-CETL,London Metropolitan University, United Kingdom ; , london metropolitan university, United Kingdom ; , RLO-CETL,london metropolitan university, United Kingdom

EdMedia + Innovate Learning, in Vancouver, Canada ISBN 978-1-880094-62-4 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC

Abstract

This paper will present work that has investigated the pedagogically effective design and user evaluation of a series of Sports Science learning environments (Reusable Learning Objects and Mobile Learning Objects) that are designed to enhance the engagement and deepen the learning experience of users through the incorporation of innovative rich media visualization techniques. In this paper we will, (i) outline the background problems which motivated the development of the Sports Science Reusable Learning Objects (RLOs), (ii) describe examples of the web-based and mobile RLOs that were developed, (iii) describe the rich media visualization techniques applied to the sports science RLOs, (iv) present evaluation data, and (v) draw initial conclusions.

Citation

Smith, C., Cook, J., Bradley, C., Gossett, R. & Haynes, R. (2007). Enhancing Deep Learning in Sports Science: The Application of Rich Media Visualization Techniques in Mobile and Reusable Learning Objects. In C. Montgomerie & J. Seale (Eds.), Proceedings of ED-MEDIA 2007--World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 4005-4013). Vancouver, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved July 6, 2020 from .

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