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Metacognition

Metacognition
Metacognition is defined as "cognition about cognition", or "knowing about knowing". It comes from the root word "meta", meaning beyond.[1] It can take many forms; it includes knowledge about when and how to use particular strategies for learning or for problem solving.[1] There are generally two components of metacognition: knowledge about cognition, and regulation of cognition.[2] Metamemory, defined as knowing about memory and mnemonic strategies, is an especially important form of metacognition.[3] Differences in metacognitive processing across cultures have not been widely studied, but could provide better outcomes in cross-cultural learning between teachers and students.[4] Some evolutionary psychologists hypothesize that metacognition is used as a survival tool, which would make metacognition the same across cultures.[4] Writings on metacognition can be traced back at least as far as De Anima and the Parva Naturalia of the Greek philosopher Aristotle.[5] Definitions[edit] [edit]

http://en.wikipedia.org/wiki/Metacognition

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Bloom's taxonomy Bloom's taxonomy (cognitive) according to Bloom's verbs and matching assessment types. The verbs are intended to be feasible and measurable. Bloom's taxonomy is a set of three hierarchical models used to classify educational learning objectives into levels of complexity and specificity. The three lists cover the learning objectives in cognitive, affective and sensory domains. The cognitive domain list has been the primary focus of most traditional education and is frequently used to structure curriculum learning objectives, assessments and activities.

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The Growth of Visual Learning Infographic Other Infographics The Growth of Visual Learning Infographic The Growth of Visual Learning Infographic Before there was language, we had images. Though today we express ourselves through words and writing, our ancient ancestors would communicate through symbols and drawings. And despite the flexibility of thought that words given us, our brains are essentially image processors that are far more effective when working with visual information. What is edge computing and how it’s changing the network Edge computing allows data produced by internet of things (IoT) devices to be processed closer to where it is created instead of sending it across long routes to data centers or clouds. Doing this computing closer to the edge of the network lets organizations analyze important data in near real-time – a need of organizations across many industries, including manufacturing, health care, telecommunications and finance. “In most scenarios, the presumption that everything will be in the cloud with a strong and stable fat pipe between the cloud and the edge device – that’s just not realistic,” says Helder Antunes, senior director of corporate strategic innovation at Cisco.

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