Title
A self-regulator for navigational learning in hyperspace
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.
Year
DOI
Venue
2010
10.1007/978-3-642-13388-6_43
Intelligent Tutoring Systems (1)
Keywords
Field
DocType
self-regulation process,coordination process,different self-regulation process,main issue,knowledge construction process,self-directed learning,navigational learning,navigation planning,case study,self-regulation history,navigation process,self directed learning
Hypertext,Regulator,Computer science,Knowledge management,Action learning,Cognitive tools,Artificial intelligence,Hyperspace,Machine learning
Conference
Volume
ISSN
ISBN
6094
0302-9743
3-642-13387-8
Citations 
PageRank 
References 
0
0.34
5
Authors
2
Name
Order
Citations
PageRank
akihiro kashihara133578.53
Ryoya Kawai200.34