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The learning pyramid (also known as “the cone of learning”, “the learning cone”, “the cone of retention”, “the pyramid of learning”, or “the pyramid of retention”) [1] is a group of ineffective [2] learning models and representations relating different degrees of retention induced from various types of learning.
Active learning is the opposite of passive learning; it is learner-centered, not teacher-centered, and requires more than just listening; the active participation of each and every student is a necessary aspect in active learning. Students must be doing things and simultaneously think about the work done and the purpose behind it so that they ...
Types of Long-term Memory. Long-term memory is the site for which information such as facts, physical skills and abilities, procedures and semantic material are stored. Long-term memory is important for the retention of learned information, allowing for a genuine understanding and meaning of ideas and concepts. [6]
Learning theory describes how students receive, process, and retain knowledge during learning. Cognitive, emotional, and environmental influences, as well as prior experience, all play a part in how understanding, or a worldview, is acquired or changed and knowledge and skills retained.
Edgar Dale (April 27, 1900, in Benson, Minnesota, – March 8, 1985, in Columbus, Ohio) was an American educator who developed the Cone of Experience, also known as the Learning Pyramid. He made several contributions to audio and visual instruction, including a methodology for analyzing the content of motion pictures .
The testing effect (also known as retrieval practice, active recall, practice testing, or test-enhanced learning) [1] [2] [3] suggests long-term memory is increased when part of the learning period is devoted to retrieving information from memory. [4]
Some learning consultants claim reviewing material in the first 24 hours after learning information is the optimum time to actively recall the content and reset the forgetting curve. [8] Evidence suggests waiting 10–20% of the time towards when the information will be needed is the optimum time for a single review.
Once those tests were completed, participants came back one week later to complete a final retention test. The researchers concluded that it did not matter what kind of repetition schedule was used. The biggest contribution to effective long-term learning was the spacing between the repeated tests (absolute spacing). [14]