Reconstructing Web Resource with Learning History Mining
PROCEEDINGS
Koichi Ota, Akihiro Kashihara, The University of Electro-Communications, Japan
E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Orlando, Florida, USA ISBN 978-1-880094-83-9 Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA
Abstract
Web resources generally provide learners with hyperspace, which consists of Web pages and their links. However, it is hard for a learner to learn Web resources since the hyperspace provided by these resources is not well-structured. Our approach to this issue is to reconstruct the hyperspace suitable for the learners to achieve their learning purposes. This paper describes a technique for reconstructing the hyperspace with navigational learning history mining to scaffold their learning process. The navigation history mining method extracts these representative pages and links from navigation histories that could be gathered from learners. This paper also discusses potential for the hyperspace reconstruction.
Citation
Ota, K. & Kashihara, A. (2010). Reconstructing Web Resource with Learning History Mining. In J. Sanchez & K. Zhang (Eds.), Proceedings of E-Learn 2010--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 2662-2670). Orlando, Florida, USA: Association for the Advancement of Computing in Education (AACE). Retrieved March 19, 2024 from https://www.learntechlib.org/primary/p/35946/.
© 2010 Association for the Advancement of Computing in Education (AACE)
Keywords
References
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Design Guidelines Through Educational Mining
Christian Ostlund & Lars Svensson, University West, Sweden
E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2015 (Oct 19, 2015) pp. 1854–1857
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