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

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.