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Improving Hybrid Learning of Physical Education by Video Review

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Book cover Advances in Web-Based Learning – ICWL 2010 (ICWL 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6483))

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Abstract

Hybrid Learning is becoming one of important applications by integrating e-learning and traditional face-to-face instruction together. As an introduction to the reader the challenges in hybrid learning of physical education and architecture of Physical Education Hybrid Learning Platform (PEHLP) are firstly provided. The main character of PEHLP is using video instead of textual information as learning material. Then Video Review Module (VRM) is presented. Through the annotation composing functionality of VRM, the teacher can review the student’s actions video, pick out the wrong actions and add still annotations, which for now are either text or specific graphic symbols or audio-recording. And through the annotation viewing/browsing functionality, the student can watch annotated video, find out mistakes and get instructions. In order to control over bandwidths and promote video annotation, the geometry primitives of video annotation graphic symbols are presented in Geometry Primitive Language (GPL) in XML. The experiment shows that the annotation data is 0.37% of the annotation data in JPG format. The user case of this paper shows that 80.9% out of students think that the video review can afford the hybrid learning of physical education, but only 66.7% of them think the hybrid learning instruction mode can attain the same teaching effect in contrasted F2F instruction mode. So we suggest that the proportion of e-learning should be less than 60% in hybrid learning of physical education course.

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© 2010 Springer-Verlag Berlin Heidelberg

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Pang, Y. (2010). Improving Hybrid Learning of Physical Education by Video Review. In: Luo, X., Spaniol, M., Wang, L., Li, Q., Nejdl, W., Zhang, W. (eds) Advances in Web-Based Learning – ICWL 2010. ICWL 2010. Lecture Notes in Computer Science, vol 6483. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17407-0_24

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  • DOI: https://doi.org/10.1007/978-3-642-17407-0_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17406-3

  • Online ISBN: 978-3-642-17407-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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