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Knowledge and Skill Hierarchies
Knowledge and skill hierarchies organize categories of knowledge and skills into prerequisite learning paths or complexity sequences. These hierarchies are developed from different perspectives of research, context, and purpose. Some are metahierarchies that support learning outcome analysis and alignment with learning strategies and assessments, generally in one or more domains: intellectual or cognitive, attitudes or affective, and motor or psychomotor. In particular disciplines and organizations, comprehensive hierarchies operate as detailed guides for teaching and learning in libraries, catalogs, and curriculum frameworks. Examples include psychomotor skills in dentistry, procedural and conceptual taxonomies in mathematics, analytical hierarchies in intelligent informatics, and skill trees for designing games. Such hierarchies usually evolve from job, task, information, cognitive, content, or procedural analysis and engage expert review for validation when precise knowledge and skills are critical for safety, performance, health, or life. This entry discusses early and contemporary conceptions of knowledge and skills and then examines the organization and specialization of hierarchies.
Early Conceptions of Knowledge and Skills
More than three centuries ago, John Locke described roles of stimuli, experiences, memory, reflection, understanding, synthesis of simpler ideas to produce more complex ones, and mental skills including repetition, combinations, comparisons, building relations, generalizations, and abstractions. A half century later, Jean le Rond d’Alembert and Denis Diderot published a knowledge hierarchy with three domains: (1) understanding, including memory and history; (2) reason, including apprehension, judgment, analysis, and synthesis; and (3) creativity, including imagination as applied in all the arts, including poetry. Later, Johann Herbart characterized logical skills as conceptions, judgments, and reasonings. For knowledge, John Dewey included facts and concrete and abstract concepts; skills included inductive and deductive reasoning, scientific and social inquiry, evaluation, and judgment.
In the 1900s, research by Ivan Pavlov, Edward Thorndike, John Watson, and B. F. Skinner focused on what can be observed and measured. Skinner extended this behaviorist perspective, demonstrating that stimulus-response (S-R) chains with reinforcement of behaviors will shape progressively more complex behaviors. Other research established cognitive associations with behaviors. For example, George Mead described a mental plan of action in response to perception. Edward Tolman showed that learning can occur without reinforcement and concluded that a cognitive map supported learning. Jerome Bruner verified that internal processing influences behaviors.
J. Paul Guilford’s structure of intellect included behavioral and cognitive perspectives in three dimensions: (1) operations (cognition, memory recording and retention, divergent and convergent production, and evaluation), (2) content (figural, symbolic, semantic, and behavioral,) and (3) product (units, classes, relations, systems, transformation, and implications). Reuven Fuerstein also integrated both perspectives, identifying more than 60 cognitive functions, beginning with attention and perception and culminating in problem-solving skills.
In 2001, Lorin Anderson, David Krathwohl, and colleagues reviewed 19 hierarchies, classifying some as unidimensional and others as multidimensional. In 2005, David Mosely and his team reviewed 35 hierarchies: All 35 addressed productive thinking, 33 addressed basic thinking, 29 addressed reflective thinking, 27 addressed knowledge recall, 19 addressed self-engagement, and 13 addressed perception.
Knowledge and Skills Concepts
Knowledge
In behavioral hierarchies, knowledge per se is not typically defined. Instead, a target behavior and prerequisite behaviors are identified. In cognitive hierarchies, knowledge descriptions vary. A 1956 taxonomy by Benjamin Bloom, Max Engelhart, Edward Furst, Walker Hill, David Krathwohl, and colleagues distinguished knowledge from comprehension. In their original publication, categories and subcategories of knowledge included facts, terms, principles, conventions, trends, sequences, classifications, categories, criteria, methodology, universals, and principles. The 2001 revision edited by Anderson and Krathwohl has four knowledge categories: factual, conceptual, procedural, and metacognitive. Similarly, Brenda Sugrue’s 2014 framework has knowledge of facts, concepts, procedures, and principles. Robert Marzano’s 2001 and 2007 taxonomies have information, mental procedures, physical procedures, and self-efficacy.
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