This standard is a combination of new and existing metadata terms that were contextualized around learning and bundled with the purpose of addressing many of the common use cases of metadata. This standard describes a series of classes and properties, that intentionally align to a Resource Description Framework (RDF) type of model which can be represented in many formats, including graphs. It centers around different types of Learning Resources and Learning Events, distinguishing between the two as both were often previously categorized as “Learning Objects”. It describes an extensible data model that focuses on the principles of sharing learning resources i...

This standard builds on the IEEE 1484.12.1 standard to encourage exploration of new learning paradigms and modern technology practices. This standard specifies a conceptual data model that defines the structure of a metadata instance. This conceptual data model specifies the data elements that compose a metadata instance for multiple learning types. This standard does not define how a learning technology system implements the data model. The standard describes a data model using the Resource Description Framework (RDF) that is independent of any particular serialization (including JavaScript Object Notation for Linked Data (JSON-LD)) and capable of being exp...

The purpose of this standard is to facilitate search, evaluation, acquisition, and use of learning content, activities, and possibly even learners. It enables the development of catalogs and inventories while taking into account the diversity of cultural and lingual context in which learning occurs. By specifying a common conceptual data schema, semantic interoperability is increased.