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The learning theories of John Dewey, Maria Montessori, and David A. Kolb serve as the foundation of the application of constructivist learning theory in the classroom. [40] Constructivism has many varieties such as active learning , discovery learning , and knowledge building , but all versions promote a student's free exploration within a ...
A computer-mediated support system for project-based learning. Paper presented at the annual conference of the American Educational Research Association, Chicago, IL. Taber, K. S. (2011). Constructivism as educational theory: Contingency in learning, and optimally guided instruction. In J. Hassaskhah (Ed.), Educational Theory (pp. 39–61).
The psychology of learning refers to theories and research on how individuals learn. There are many theories of learning. Some take on a more behaviorist approach which focuses on inputs and reinforcements. [1] [2] [3] Other approaches, such as neuroscience and social cognition, focus more on how the brain's organization and structure influence ...
An instructional theory is "a theory that offers explicit guidance on how to better help people learn and develop." [ 1 ] It provides insights about what is likely to happen and why with respect to different kinds of teaching and learning activities while helping indicate approaches for their evaluation. [ 2 ]
Learning theory (education) – Theory that describes how students receive, process, and retain knowledge during learning Constructivism (philosophy of education) – Theory of knowledge; Radical behaviorism – Term pioneered by B.F. Skinner; Instructional design – Process for design and development of learning resources
Learning styles refer to a range of theories that aim to account for differences in individuals' learning. [1] Although there is ample evidence that individuals express personal preferences on how they prefer to receive information, [ 2 ] : 108 few studies have found validity in using learning styles in education.
Colloquially, the task is known as learning from examples. Most theories of concept learning are based on the storage of exemplars and avoid summarization or overt abstraction of any kind. In machine learning, this theory can be applied in training computer programs. [2]