Title: Transverse alignment analysis and in-depth mining of web-based learning resources

Authors: Hong Wang; Lianxiao Hui

Addresses: Learning Educational Technology, Department of TV Director, School of Communication, Shandong Normal University, No. 88, East Wenhua Road, 250014, Jinan, Shandong, China ' Learning Web-based Education, Department of Educational Technology, School of Education, Linyi University, Middle of Shuangling Road, 276000, Linyi, Shandong, China

Abstract: Web-based learning resources are playing an important role in teaching and learning. But the repetition and disorder of web-based resources cause a lot of difficulties for information mining and management. This paper illustrates how web-based resources are analysed by following the transverse alignment analysis and in-depth analysis methods. The result shows that the students in the experimental group could grasp the information more accurately and propose more suggestions. This paper presents the design and implementation of the study and tentative results from an experiment.

Keywords: web-based learning resources; transverse alignment; information mining; information management; tourism resources; electronic learning; e-learning; online learning; teaching and learning.

DOI: 10.1504/IJCEELL.2013.055406

International Journal of Continuing Engineering Education and Life-Long Learning, 2013 Vol.23 No.3/4, pp.357 - 366

Received: 03 Sep 2012
Accepted: 10 Feb 2013
Published online: 30 Dec 2013 *

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