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The organizational deutero-learning concept identified by Argyris and Schon [7] [8] defines when organizations learn how to carry out single-loop and double-loop learning. It has also been described as learning how to learn [ 9 ] through a process of collaborative inquiry and reflection (evaluative inquiry).
Organizational learning is the process of creating, retaining, and transferring knowledge within an organization. An organization improves over time as it gains ...
Double-loop learning entails the modification of goals or decision-making rules in the light of experience. In double-loop learning, individuals or organizations not only correct errors based on existing rules or assumptions (which is known as single-loop learning), but also question and modify the underlying assumptions, goals, and norms that ...
Deep learning is a subset of machine learning that focuses on utilizing neural networks to perform tasks such as classification, regression, and representation learning. The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data.
Typically existing only in the minds of individuals, tacit knowledge is normally very difficult to capture, with most organizations depending almost entirely on the explicit knowledge. This makes experiential learning, productivity gains, and competitiveness slow and expensive to acquire. In business terms, tacit knowledge is a passive misnomer ...
The course of his career would cover three areas in this field: 1) the learning society; 2) professional learning and effectiveness; and, 3) the reflective practitioner. [18] Together with Chris Argyris , Schön provided the foundation to much of the management thinking on descriptive and interventionist dimensions to learning research. [ 19 ]
Higher-order thinking, also known as higher order thinking skills (HOTS), [1] is a concept applied in relation to education reform and based on learning taxonomies (such as American psychologist Benjamin Bloom's taxonomy). The idea is that some types of learning require more cognitive processing than others, but also have more generalized benefits.
Meta-learning is a branch of metacognition concerned with learning about one's own learning and learning processes. The term comes from the meta prefix's modern meaning of an abstract recursion , or "X about X", similar to its use in metaknowledge , metamemory , and meta-emotion .