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Metacognition and self directed learning. Metacognition is an awareness of one's thought processes and an understanding of the patterns behind them. The term comes from the root word meta, meaning "beyond", or "on top of". [1]
Nelson and Narens proposed a theoretical framework for understanding metacognition and metamemory. [2] In this framework there are two levels: the object level (for example, cognition and memory) and the meta level (for example, metacognition and metamemory). Information flow from the meta level to the object level is called control, and ...
Metacognition can take many forms, such as reflecting on one's ways of thinking, and knowing when and how oneself and others use particular strategies for problem-solving. [55] [56] There are generally two components of metacognition: (1) cognitive conceptions and (2) cognitive regulation system.
Given such a sweeping definition, it is apparent that cognition is involved in everything a human being might possibly do; that every psychological phenomenon is a cognitive phenomenon. But although cognitive psychology is concerned with all human activity rather than some fraction of it, the concern is from a particular point of view.
The research emerged in part from William G. Perry's research on the cognitive intellectual development of male Harvard College students. [1] [4] Developmental theories of epistemic cognition in this model have been developed by Deanna Kuhn and others, with a focus on the sequential phases of development characterising changes in views of knowledge and knowing.
Metacognition, Greek for "after" "thought" (cognition), refers to the human capacity to be aware of and control one's own thoughts and internal mental processes. Metacognition has been studied for several decades by researchers, originally as part of developmental psychology and neuropsychology .
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.
Behavioral economics was the first subfield to emerge to account for these anomalies by integrating social and cognitive factors in understanding economic decisions. Neuroeconomics adds another layer by using neuroscience and psychology to understand the root of decision-making.