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Metaliteracy is a unified understanding of literacies to support the acquisition, production, and sharing of knowledge in collaborative online communities. Like the more skills-based approaches of information literacy , metaliteracy encourages the use of a variety of new and emerging technologies.
The depth of knowledge in an elucidation predominantly reflects how well the individual can construct a logical justification for their solution with regards to detail. In contrast, breadth of knowledge would express how well the individual can come up with a variety of solutions for the same problem.
The idea of interlacing Bloom's Taxonomy and Webb's Depth-of-Knowledge to create a new tool for measuring curricular quality was completed in 2005 by Karin Hess of the National Center for Assessment, producing a 4 X 6 matrix (the Cognitive Rigor Matrix or Hess Matrix) for categorizing the Bloom's Taxonomy and Webb's Depth-of-Knowledge levels ...
Definitions of knowledge aim to identify the essential features of knowledge. Closely related terms are conception of knowledge, theory of knowledge, and analysis of knowledge. Some general features of knowledge are widely accepted among philosophers, for example, that it involves cognitive success and epistemic contact with reality.
Breadth refers to comprehensiveness, extension and diversity of knowledge. It is contrasted with the idea of narrowness, specialization, and the restriction of one's expertise to a limited domain. The possession of comprehensive knowledge at very disparate areas is a hallmark of the greatest polymaths. [32]
This definition is a cornerstone of the taxonomy of educational goals, widely applied beyond education, notably in knowledge management. Knowledge is categorized into specific domains: the recall of terminology and facts, understanding methods and conventions, and recognizing patterns and principles in various fields.
For example, the sentence "snow is white" is synthetically true because its truth depends on the color of snow in addition to the meanings of the words snow and white. A priori knowledge is primarily associated with analytic sentences while a posteriori knowledge is primarily associated with synthetic sentences. However, it is controversial ...
[23] [24] Systems with an easy to use or English-like syntax are, however, quite distinct from systems that use a rich lexicon and include an internal representation (often as first order logic) of the semantics of natural language sentences. Hence the breadth and depth of "understanding" aimed at by a system determine both the complexity of ...