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IJSTR >> Volume 7 - Issue 4, April 2018 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



A Comparison Study Between Xquery And LOQL In Querying LO

[Full Text]

 

AUTHOR(S)

Huda Basloom

 

KEYWORDS

Adaptation, adaptivity, adaptability, personalized learning, SCORM, Learning Objects, manage Learning Object, XQuery, XPath, Query XML.

 

ABSTRACT

E-learning turns out to be an important aspect for the educational area. An important problem in the e-Learning area is the creation of digital learning materials because it becomes expensive. Learning Object (LO) has been proposed to reuse materials which will reduce the cost. Each LO has metadata. Metadata is used to make LO reusable, sharable, storable and manageable in a repository such as an archive or museum. The most popular metadata standards that provide cataloguing, searching and reuse of resources are the Dublin Core Metadata Element Set (DCMES) and the IEEE Learning Object Metadata (LOM).An interesting form to retrieve and manipulate collections of LOs is declaratively via a query language. However, current languages used to achieve this are either aimed to a particular implementation of LOs (e.g. XML for instance) or lack the required features to manage and query collections of LOs adequately. Currently possible to use a general purpose XML query language, such as XPath or XQuery. These languages have widely acceptance and great expression power. LOQL (Learning Object Query Language) is a new language which allows a user/application to create, assemble, update and query LOs, independently of any particular implementation. A prototype system has been implemented to test these ideas. The paper presents SCORM concepts. Also, it discusses adaptation possibilities of the SCORM. In addition, it presents different ways to query LO and a comparison study between XQuery and LOQL.

 

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