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Cognitive strategies are the specific methods that people use to solve problems and/or exploit opportunities, including all sorts of reasoning, planning, arithmetic, etc. Importantly, a cognitive strategy need not be all "in the head", but will almost always interact with various aspects of what might be called the "execution context".
Elaborative Interrogation is a cognitive learning strategy that enhances comprehension and retention by prompting learners to generate explanations for why certain facts or concepts are true. This method encourages deeper processing of information by connecting new material to existing knowledge, thus creating a more integrated understanding.
The theory stipulates that there are several different types or levels of learning. The significance of these classifications is that each different type requires different types of instruction. Gagné identifies five major categories of learning: verbal information, intellectual skills, cognitive strategies, motor skills and attitudes.
Bloom's taxonomy has become a widely adopted tool in education, influencing instructional design, assessment strategies, and learning outcomes across various disciplines. Despite its broad application, the taxonomy has also faced criticism, particularly regarding the hierarchical structure of cognitive skills and its implications for teaching ...
He specializes in the cognitive development of problem solving and reasoning in children. Three areas of particular interest to his research are strategy choices, long-term learning, and educational applications of cognitive-developmental theory. He proposed the 'overlapping waves' model of cognitive development in 1996.
Cognitive theory mostly explains complex forms of learning in terms of reasoning, problem solving and information processing. [14] Emphasis must be placed on the fact that the goal of all aforementioned viewpoints is considered to be the same - the transfer of knowledge to the student in the most efficient and effective manner possible. [ 17 ]
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The worked-example effect is a learning effect predicted by cognitive load theory. [1] [full citation needed] Specifically, it refers to improved learning observed when worked examples are used as part of instruction, compared to other instructional techniques such as problem-solving [2] [page needed] and discovery learning.