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A Self-regulator for Navigational Learning in Hyperspace

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Intelligent Tutoring Systems (ITS 2010)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 6094))

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Abstract

Self-directed learning with hypertext-based resources involves navigating the hyperspace to construct knowledge, which requires learners to self-regulate their navigational learning process. Such self-regulation also involves planning the navigation process and reflecting on the knowledge construction process. However, it is hard for them to achieve the self-regulation process since it is concurrent with the navigational learning process. The main issue addressed in this paper is how to promote the self-regulation process and to improve the coordination between navigational learning process and its self-regulation process in hyperspace, which includes coordinating two different self-regulation processes: navigation planning and reflection. Our approach to this issue is to provide learners with a cognitive tool called self-regulator with which they can reify these coordination processes with self-regulation history. The results of the case study we have conducted suggest that the self-regulator can promote learners’ self-regulation process to enhance the efficiency and effectiveness of their navigational learning process.

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Kashihara, A., Kawai, R. (2010). A Self-regulator for Navigational Learning in Hyperspace. In: Aleven, V., Kay, J., Mostow, J. (eds) Intelligent Tutoring Systems. ITS 2010. Lecture Notes in Computer Science, vol 6094. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13388-6_43

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  • DOI: https://doi.org/10.1007/978-3-642-13388-6_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13387-9

  • Online ISBN: 978-3-642-13388-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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