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Learning Object Metadata

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Esquema de um LOM, (Learning Object Metadata).

Learning Object Metadata (LOM, em inglês) significa metadados para objetos de aprendizagem, usualmente em XML. Seu propósito é dar suporte ao reuso de objetos de aprendizagem, ajudar a descoberta e facilitar sua interoperabilidade, no contexto de sistemas online.

O padrão IEEE 1484.12.1 – 2002 (Padrão para Metadados de Objetos de Aprendizagem) é o padrão aberto reconhecido internacionalmente (publicado pelo Instituto de Engenheiros Eletricistas e Eletrônicos) para a descrição de um objeto de aprendizagem. Exemplo de atributos relevantes desses objetos são: tipo de objeto, autor, dono, termos de distribuição, formato, e atributos pedagógicos, como aprendizagem e estilo de interação.


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. At the first level, there are nine categories, each of which contains sub-elements; these sub-elements may be simple elements that hold data, or may themselves be aggregate elements, which contain further sub-elements. The semantics of an element are determined by its context: they are affected by the parent or container element in the hierarchy and by other elements in the same container. For example, the various Description elements (1.4, 5.10, 6.3, 7.2.2, 8.3 and 9.3) each derive their context from their parent element. In addition, description element 9.3 also takes its context from the value of element 9.1 Purpose in the same instance of Classification.

The data model specifies that some elements may be repeated either individually or as a group; for example, although the elements 9.3 (Description) and 9.1 (Purpose) can only occur once within each instance of the Classification container element, the Classification element may be repeated - thus allowing many descriptions for different purposes.

The data model also specifies the value space and datatype for each of the simple data elements. The value space defines the restrictions, if any, on the data that can be entered for that element. For many elements, the value space allows any string of Unicode character to be entered, whereas other elements entries must be drawn from a declared list (i.e. a controlled vocabulary) or must be in a specified format (e.g. date and language codes). Some element datatypes simply allow a string of characters to be entered, and others comprise two parts, as described below:

  • LangString items contain Language and String parts, allowing the same information to be recorded in multiple languages
  • Vocabulary items are constrained in such a way that their entries have to be chosen from a controlled list of terms - composed of Source-Value pairs - with the Source containing the name of the list of terms being used and the Value containing the chosen term
  • DateTime and Duration items contain one part that allows the date or duration to be given in a machine readable format, and a second that allows a description of the date or duration (for example “mid summer, 1968”).

When implementing the LOM as a data or service provider, it is not necessary to support all the elements in the data model, nor need the LOM data model limit the information which may be provided. The creation of an application profile allows a community of users to specify which elements and vocabularies they will use. Elements from the LOM may be dropped and elements from other metadata schemas may be brought in; likewise, the vocabularies in the LOM may be supplemented with values appropriate to that community.

Requirements

The key requirements for exploiting the LOM as a data or service provider are to:

  • Understand user/community needs and to express these as an application profile
  • Have a strategy for creating high quality metadata
  • Store this metadata in a form which can be exported as LOM records
  • Agree a binding for LOM instances when they are exchanged
  • Be able to exchange records with other systems either as single instances or en masse.

There are many metadata specifications; of particular interest is the Dublin Core Metadata Element Set (commonly known as Simple Dublin Core, standardised as ANSI/NISO Z39.85 – 2001), which provides a simpler, more loosely-defined set of elements with some overlap with the LOM, and which is useful for sharing metadata across a wide range of disparate services. The Dublin Core Metadata Initiative is also working on a set of terms which allow the Dublin Core Element Set to be used with greater semantic precision (Qualified Dublin Core). The Dublin Education Working Group aims to provide refinements of Dublin Core for the specific needs of the education community. Details of Dublin Core can be found at the Dublin Core website [1].

Many other education-related specifications allow for LO metadata to be embedded within XML instances, such as: describing the resources in an IMS Content Package or Resource List; describing the vocabularies and terms in an IMS VDEX (Vocabulary Definition and Exchange) file; and describing the question items in an IMS QTI (Question and Test Interoperability) file. Details of these can be found at the IMS Global website [2].

The IMS Vocabulary Definition and Exchange (VDEX) specification has a double relation with the LOM, since not only can the LOM provide metadata on the vocabularies in a VDEX instance, but VDEX can be used to describe the controlled vocabularies which are the value space for many LOM elements.

LOM records can be transported between systems using a variety of protocols, perhaps the most widely used being OAI-PMH.

Application Profiles

UK LOM Core

For UK Further and Higher Education, the most relevant family of application profiles are those based around the UK LOM Core [3]. The UK LOM Core is currently a draft schema researched by a community of practitioners to identify common UK practice in learning object content, by comparing 12 metadata schemas.

CanCore

CanCore provides detailed guidance for the interpretation and implementation of each data element in the LOM standard.[1] These guidelines constitute a 250-page document, and have been developed over three years under the leadership of Norm Friesen, and through consultation with experts across Canada and throughout the world. These guidelines are also available at no charge from the CanCore Website.

ANZ-LOM

ANZ-LOM is a metadata profile developed for the education sector in Australia and New Zealand. The profile provides interpretations of metadata structures and illustrates how to apply controlled vocabularies, especially using the "classification" element. It is supported by detailed examples of learning resource metadata, including regional vocabularies. The ANZ-LOM profile was first published by The Le@rning Federation (TLF) in January, 2008.

Vetadata

The Australian Vocational Training and Education (VET) sector uses an application profile of the IEEE LOM called Vetadata. The profile contains five mandatory elements, and makes use of a number of vocabularies specific to the Australian VET sector. This application profile was first published in 2005. The Vetadata and ANZ-LOM profiles are closely aligned.

NORLOM

NORLOM is the Norwegian LOM profile. The profile is managed by NSSL (The Norwegian Secretariat for Standardization of Learning Technologies)

ISRACore

ISRACORE is the Israeli LOM profile. The Israel Internet Association (ISOC-IL) and Inter University Computational Center (IUCC) have teamed up to manage and establish an e-learning objects database.

Others

Other important application profiles are those developed by the Celebrate project [4] and the metadata profile that is part of the SCORM reference model [5].

See also

A Wikiversidade possui cursos relacionados a Learning Object Metadata.

E-mail Lists

Metadata Editors

  • Reload includes an open-source editor for IMS LRM.
  • Curriculum Online Tagging Tool is used for creating metadata for online resource made available to schools in England.
  • LomPad Lompad is a metatagging tool for learning object. It is bilingual(Fr,En) supports the IEEE-lom spec and SCORM, CANCORE and Normetic profiles.

Repositories/Catalogues

  • Learning Resource Exchange is provided by European schoolnet together with 16 Ministries of Education from Europe. It offers almost 30 000 learning objects and assets, in more than 20 languages.
  • EQUELLA by The Learning Edge International is an award winning digital repository with offices in Australasia, North America and Europe. The repository engine integrates with more than a dozen course management systems, supports IMS packages and all metadata schemas including IEEE LOM, and is used by over 70 clients worldwide.
  • Desire2Learn Learning Repository is a repository system with rich support for IEEE LOM, Dublin Core, CanCore, and other customisable and templatable profiles. It also supports harvesting of metadata from other repository/catalogue systems. It is used by hundreds of educational and commercial organisations.
  • Intrallect intraLibrary is a commercial repository system, with rich support for the IEEE LOM, including customisable application profiles
  • The Xtensis Open Architecture is a foundation for building customised learning object repository and learning content management systems.
  • HarvestRoad Hive is a commercial federated digital repository system (based out of Australia), i.e. it is designed share content across multiple repositories.
  • The Jorum project uses Intrallect intraLibrary for its ongoing service.
  • The National Learning Network, using Xtensis, is a UK repository of over 2000 learning objects, commissioned by Becta and the LSC.
  • www.utdanning.no/laering (Norwegian), is a Norwegian repository under the Norwegian Ministry of Education. Over 5000 Learning objects
  • Kursnavet (Swedish), is a repository containing around 11 000 (2007) unique learning objects, free of use non-commersial. From the Swedish Agency for Flexible Learning, CFL.
  • LearnAlberta.ca is a Canadian learning object repository maintained by Alberta Education, the Province of Alberta's education Ministry.
  • The Learning Object Repository Network (LORN) is Australia's national learning object repository network for the vocational education and training (VET) sector. It contains nearly 3000 learning objects.
  • Agrega is Spain's national learning object repository network. It contains nearly 100.000 learning objects.
  • Spindeln (the Spider), is a Swedish learning object repository brokerage service that connects a number of Swedish LORs. Spindeln is provided by the Nat. Agency for Education.

Resources on the Internet

References

  1. Norm Friesen; et al. (20 de janeiro de 2003). «CanCore Guidelines: Introduction» (PDF). Athabasca University. Consultado em 23 de fevereiro de 2009 

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