Meta Data, Mind Mapping & Connectivism

The term Metadata is an ambiguous term which is used for two fundamentally different concepts. Although an expression "data about data" is often used, it does not apply to both in the same way. Structural metadata, the design and specification of data structures, cannot be about data, because at design time the application contains no data.
In this case the correct description would be "data about the containers of data".
Descriptive metadata on the other hand, is about individual instances of application data, the data content.
In this case, a useful description (resulting in a disambiguating neologism) would be "data about data contents" or "content about content" thus metecontent.

Connectivism

Connectivism is a theory of learning based on the premise that knowledge exists in the world rather than in the head of an individual. Connectivism proposes a perspective similar to the active theory of Vygotsky as it regards knowledge to exist within systems which are accessed through people participating in activities. It also bears some similarity with the social learning theory of Bandura that proposes that people learn through contact.
The add-on "a learning theory for the digital age", that appears on Siemens paper indicates the special importance that is given to the effect technology has on how people live, how they communicate, and how they learn.


Mind Mapping

A mind map is a diagram used to represent words, ideas, tasks, or other items linked to and arranged around a central key word or idea. Mind maps are used to generate, visualize, structure, and classify ideas, and as an aid to studying and organizing information, solving problems, making decisions, and writing.

The elements of a given mind map are arranged intuitively according to the importance of the concepts, and are classified into groupings, branches, or areas, with the goal of representing semantic or other connections between portions of information. Mind maps may also aid recall of existing memories.