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Concept mapping and mind mapping software is used to create diagrams of relationships between concepts, ideas, or other pieces of information. It has been suggested that the mind mapping technique can improve learning and study efficiency up to 15% over conventional note-taking. [1]
A graphic organizer, also known as a knowledge map, concept map, story map, cognitive organizer, advance organizer, or concept diagram, is a pedagogical tool that uses visual symbols to express knowledge and concepts through relationships between them. [1]
There are three types of relationship between nodes: associative, transclusive, categorical. [5] Images can be placed directly into a view, assigned to a node, or assigned to the background picture. [5] Features of Compendium include: [5] Drag and drop documents and websites onto a map; Complete freedom to arrange icons; Keyword tagging
A concept map typically represents ideas and information as boxes or circles, which it connects with labeled arrows, often in a downward-branching hierarchical structure but also in free-form maps. [ 2 ] [ 3 ] The relationship between concepts can be articulated in linking phrases such as "causes", "requires", "such as" or "contributes to".
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Anthony Peter "Tony" Buzan (/ ˈ b uː z ən /; 2 June 1942 – 13 April 2019) [1] was an English author and educational consultant.. Buzan popularised the idea of mental literacy, radiant thinking [clarification needed], and a technique called mind mapping, [2] inspired by techniques used by Leonardo da Vinci, Albert Einstein, and Joseph D. Novak's "concept mapping" techniques.
Cognitive maps are a function of the working brain that humans and animals use for movement in a new environment. They help us in recognizing places, computing directions and distances, and in critical-thinking on shortcuts. They support us in wayfinding in an environment, and act as blueprints for new technology.
Fuzzy cognitive maps are signed fuzzy directed graphs. Spreadsheets or tables are used to map FCMs into matrices for further computation. FCM is a technique used for causal knowledge acquisition and representation, it supports causal knowledge reasoning process and belong to the neuro-fuzzy system that aim at solving decision making problems, modeling and simulate complex systems. [4]