Self-directed learning with hypertext-based resources involves navigating the hyperspace to construct knowledge, which requires learners to selfregulate 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 selfregulation 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. © Springer-Verlag Berlin Heidelberg 2010.
CITATION STYLE
Kashihara, A., & Kawai, R. (2010). A self-regulator for navigational learning in hyperspace. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6094 LNCS, pp. 389–400). https://doi.org/10.1007/978-3-642-13388-6_43
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