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ADL uses the term “distributed learning” broadly, to refer to all network-centric learning technologies and their corresponding best practices for their use. Similarly, ADL uses the term “learning” to include education, training, operational performance support, and other forms of ad hoc, just-in-time, or self-directed learning. [10]
Distributed learning does not always offer all the necessary courses online; Internet availability and affordability. Distributed learning delivered as programmed instruction: Lack of social interaction; No interaction with teachers and professors; Lack of seriousness, competition and learning environment
Sharable Content Object Reference Model (SCORM) is a collection of standards and specifications for web-based electronic educational technology (also called e-learning). It defines communications between client side content and a host system (called "the run-time environment"), which is commonly supported by a learning management system.
A Learning Record Store (LRS) [1] is a data store system that serves as a repository for learning records collected from connected systems where learning activities are conducted. It is an essential component in the process flow for using the Experience API (xAPI) [ 2 ] standard by ADL or the Caliper standard by IMS Global.
And to support interoperability, the U.S. military's Advanced Distributed Learning organization created the Sharable Content Object Reference Model. [4] Learning objects were designed in order to reduce the cost of learning, standardize learning content, and to enable the use and reuse of learning content by learning management systems. [5]
The Experience API (xAPI) is an e-learning software specification that records and tracks various types of learning experiences for learning systems. [1] Learning experiences are recorded in a Learning Record Store (LRS), which can exist within traditional learning management systems (LMSs) or on their own.
Distributed reinstatement theory postulates that it isn't the remoteness of the memories that spared them, but rather the repetition and recalling of those memories over the years that strengthened them. Distributed learning's effectiveness appears to rely more on one's working memory rather than one's ability to form long-term memories.
These services allow AIS to manage distributed object ownership. Distributed object ownership presumes that no single simulation must own all objects in a confederation, but many simulations require knowledge of some objects. A simulation uses simulation protocol update messages to discover objects owned by other simulations.