51
Views
1
CrossRef citations to date
0
Altmetric
Original Articles

Adaptive link generation for multiperspective thinking on the Web: an approach to motivate learners to think

, &
Pages 137-149 | Published online: 19 Aug 2006
 

Abstract

To increase the efficiency of exploratory learning on the Web, we previously developed a free‐hyperlink environment that allows adaptive link generation. In this environment, learners can make new hyperlinks independent of static hyperlinks and share them on the Web. To reduce hyperlink overflow, the adaptive link generation filters out sharable hyperlinks made by other learners with a low similarity of interest. This paper describes how to increase the effectiveness of exploratory learning on the Web. We think that learners should think about a learning topic from many perspectives beyond their individual interests. We call such a learning method multiperspective thinking. The focus of this paper is the adaptive link generation for multiperspective thinking on the Web. Our idea is to recommend the sharable hyperlinks made by other learners with low similarity of interest to motivate learners to think about information that is uninteresting for them but necessary for learning.

Acknowledgements

This research was supported in part by Grant‐in‐Aid for Young Scientists (B) No. 16700561 from the Japan Society for the Promotion of Science. Grateful thanks are expressed to Ian G. Kennedy for clarifying our English.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 294.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.