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Within his Theory of Multiple Intelligences, Gardner stated that our "educational system is heavily biased towards linguistic modes of intersection and assessment and, to a somewhat lesser degree, toward logical quantities modes as well". His work went on to shape educational pedagogy and influence relevant policy and legislation across the ...
Gardner's theory of multiple intelligences can be seen as both a departure from and a continuation of the 20th century's work on the subject of human intelligence. Other prominent psychologists whose contributions variously developed or expanded the field of study include Charles Spearman, Louis Thurstone, Edward Thorndike, and Robert Sternberg.
Ramón Gallegos Nava is a psychologist born in Mexico and author of Educación Holista (1999, Holistic Education, English version 2001).He studied psychology and sociology in college, and received his PhD in education.
Human intelligence is the intellectual capability of humans, which is marked by complex cognitive feats and high levels of motivation and self-awareness.Using their intelligence, humans are able to learn, form concepts, understand, and apply logic and reason.
Say goodbye to wispy whites.
Spatial intelligence is an area in the theory of multiple intelligences that deals with spatial judgment and the ability to visualize with the mind's eye. It is defined by Howard Gardner as a human computational capacity that provides the ability or mental skill to solve spatial problems of navigation, visualization of objects from different angles and space, faces or scenes recognition, or to ...
In the philosophy of mind, multiple realizability is the thesis that the same mental property, state, or event can be implemented by different physical properties, states, or events. Philosophers of mind have used multiple realizability to argue that mental states are not the same as — and cannot be reduced to — physical states.
Their approach was to regard each molecule as a labeled bag, and all the alternative low-energy shapes of that molecule as instances in the bag, without individual labels. Thus formulating multiple-instance learning. Solution to the multiple instance learning problem that Dietterich et al. proposed is the axis-parallel rectangle (APR) algorithm ...