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Learning Object Metadata is a data model, usually encoded in XML, used to describe a learning object and similar digital resources used to support learning. The purpose of learning object metadata is to support the reusability of learning objects, to aid discoverability , and to facilitate their interoperability, usually in the context of ...
It provides a means to associate metadata with a class where the language does not have explicit support for such metadata. To use this pattern, a class implements a marker interface [ 1 ] (also called tagging interface ) which is an empty interface, [ 2 ] and methods that interact with instances of that class test for the existence of the ...
An RDF graph statement is represented by: (1) a node for the subject, (2) an arc from subject to object, representing a predicate, and (3) a node for the object. Each of these parts can be identified by a Uniform Resource Identifier (URI). An object can also be a literal value.
Hack Reactor is a software engineering coding bootcamp [2] education program founded in San Francisco in 2012. [3] The program is remote-only and offered in 12-week beginner full-time and 19-week intermediate full-time formats. The program has been described as, "optimized for people who want to be software engineers as their main, day-to-day work.
One of the key issues in using learning objects is their identification by search engines or content management systems. [13] This is usually facilitated by assigning descriptive learning object metadata. Just as a book in a library has a record in the card catalog, learning objects must also be tagged with metadata. The most important pieces ...
Meta-learning [1] [2] is a subfield of machine learning where automatic learning algorithms are applied to metadata about machine learning experiments. As of 2017, the term had not found a standard interpretation, however the main goal is to use such metadata to understand how automatic learning can become flexible in solving learning problems, hence to improve the performance of existing ...
In 2016, there were concerns that partnering private coding bootcamps with federal financial aid could attract less reputable organizations to create coding bootcamp programs. [16] Barriers to entry and exit mean established schools face less competition than in a free market, which can lead to deterioration of quality, and increase in prices.
Paradata may be operationalized as a specific type of metadata, however the construct differs from traditional descriptive metadata that classify the properties of the learning resource itself, and instead involves the capture—and open resharing—of in situ information about online users’ actions related to the resource. [1]
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