Using Search Results Metadata to Discover Effective Learning Objects for Mobile Devices

  • Rogers Phillip Bhalalusesa
  • Muhammad Rafie Mohd Arshad
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 285)

Abstract

In mobile learning, limitations of most mobile devices to access rich multimedia contents demands the use of small and interactive learning objects. The selection of learning objects for mobile devices from repositories is based on learning objects metadata. However, most of the metadata are not readily available without downloading the learning objects first. Web crawlers can be used to retrieve the metadata but unfortunately some repositories have policies of blocking the crawling software agents. On the other hand the search engines which can be crawled publicly such as Google contains summary of search results which can be used to generate metadata for rating and identifying the learning objects that may be effective for mobile devices. This paper therefore presents a mechanism of crawling the search engines for metadata as used in Automatic Mobile Learning Objects Compilation (AMLOC) model to facilitate the discovery of learning objects for mobile devices.

Keywords

Learning objects metadata Web crawler Search engine Mobile learning 

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Copyright information

© Springer Science+Business Media Singapore 2014

Authors and Affiliations

  • Rogers Phillip Bhalalusesa
    • 1
  • Muhammad Rafie Mohd Arshad
    • 1
  1. 1.School of Computer ScienceUniversiti Sains MalaysiaPulau PinangMalaysia

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