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Notice of Retraction
Using classified Social Bookmarking of network knowledge to improve elementary students' science problem-solving ability

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4 Author(s)
Chao-li Hsu ; Center for Fac. Dev., Wenzao Ursuline Coll. of Languages, Kaohsiung, Taiwan ; Hsian-shen Wang ; Chengz-hou Xie ; Hsiao-ting Tzeng

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

This study explored students' information sorting ability and problem-solving ability on the effect of using classified Social Bookmarking of network knowledge. A quasi-experimental research design was conducted in a medium elementary school in northern Taiwan. The results show there was a positive effect on information sorting ability and problem-solving ability. It also implies that students built an information organizing model by using classified Social Bookmarking of network knowledge to assist project-based inquiry learning. The internalized model starts from information needs, clarifying main topic, searching keywords, browsing, selecting, reading, searching for solutions, tags recording as bookmarks, classifying, and uploading to share.

Published in:

Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on  (Volume:5 )

Date of Conference:

9-11 July 2010