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Synergistic Learning for Knowledge Age: Theoretical Model, Enabling Technology and Analytical Framework

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4823))

Abstract

The existing learning theories and learning technology systems are faced with quite many problems in meeting educational challenges of the knowledge age. Based on the vast study of the learning models and technology systems, we put forward a theoretical framework of synergistic learning and develop a set of tools, such as synergistic building technology (ClassKC) and synergistic annotation technology (ClassCT), to facilitate synergistic learning activities and synergistic thinking, building and internalizing of knowledge and to promote high-level leaning in the learning context. At the same time, this study assesses the particularity of synergistic learning technology system with the collaborative innovation networks mapping model and the discourse analysis method. The findings indicate there is a considerable actual effect on learning and teaching in interactivity, connection and sharing.

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Howard Leung Frederick Li Rynson Lau Qing Li

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© 2008 Springer-Verlag Berlin Heidelberg

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Zhu, Z., Wang, Y., Luo, H. (2008). Synergistic Learning for Knowledge Age: Theoretical Model, Enabling Technology and Analytical Framework. In: Leung, H., Li, F., Lau, R., Li, Q. (eds) Advances in Web Based Learning – ICWL 2007. ICWL 2007. Lecture Notes in Computer Science, vol 4823. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78139-4_19

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  • DOI: https://doi.org/10.1007/978-3-540-78139-4_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78138-7

  • Online ISBN: 978-3-540-78139-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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