A comprehensive study about LOM Metadata

LOM or Learning Object Metadata may seem to look very intimidating to learn and study the first time you hear of the concept.  This may be a true perception to a lot of people but generally, this is not always the case. 

The Learning Object Metadata is a model of data that is being in metadata process.  It is usually encoded using the Extensible Markup Language because this application software (XML) has an easy to learn and understand method on how one can describe the learning entities or objects and likely digitalized resource that is being used to place support on the learning process. 

So, why study and learn LOM or Learning Object Metadata?  What are the advantages of learning it? 

The Learning Object Metadata firmly adheres to the idea of supporting the following concepts:

a. The ability to use and re-use the learning objects that were utilized.
b. The concept of discovering and unleashing some of the learning objects that are useful and functional to the technology.
c. The concept of allowing inter-operations between and among metadata schemas more often within the concept of the LMS.
d. The creation of a shared description about learning resources between and among the discovery resource matrix that can lead to a reduced cost in the services that are provided.
e. The creation of a tailored resource system for the demands and needs of the people in the community.  This may include but not limited to having a suited and controlled vocabulary used for the classification; reduction in the number of entities as described in the schemas.

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