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Knowledge-based decision making model [1] Knowledge-Based Decision-Making (KBDM) in management is a decision-making process [2] that uses predetermined criteria to measure and ensure the optimal outcome for a specific topic. KBDM is used to make decisions by establishing a thought process and reasoning behind a decision. [3]
The idea of a knowledge ecosystem is an approach to knowledge management which claims to foster the dynamic evolution of knowledge interactions between entities to improve decision-making and innovation through improved evolutionary networks of collaboration. [1] [2]
He compares the two by saying standardized management's problem solving cycle is, “goal-setting, decision-making, and reflecting activities aligned to high-stakes standardized tests” while curriculum wisdom's is “goal-setting, decision-making, and reflecting activities that facilitate student’s subject matter meaning making in a context ...
SECI model of knowledge dimensions – Model of knowledge creation; Solution-focused brief therapy – Goal-directed approach to psychotherapy; Theory of multiple intelligences – Pseudoscientific theory of multiple types of human intelligence; Transtheoretical model, also known as Stages of change – Integrative theory of therapy
The SECI model of knowledge dimensions (or the Nonaka-Takeuchi model) is a model of knowledge creation that explains how tacit and explicit knowledge are converted into organizational knowledge. The aim is to change the explicit knowledge of the model back into the tacit knowledge of the employees. [ 1 ]
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.
The I-Space model is commonly shown as a cube with three axes: abstraction, codification and diffusion.This cube as such spans a three-dimensional "information space". The curve draws a social learning cycle, showing how as knowledge is increasingly moved from concrete experiential Zen type knowledge (insights which can occur suddenly, often equated with a kind of enlightenment) to codified ...
A priori and a posteriori knowledge – these terms are used with respect to reasoning (epistemology) to distinguish necessary conclusions from first premises.. A priori knowledge or justification – knowledge that is independent of experience, as with mathematics, tautologies ("All bachelors are unmarried"), and deduction from pure reason (e.g., ontological proofs).