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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.
Orion's Belt superimposed on the Giza pyramid complex, illustrating the Orion Correlation Theory. From left to right: Alnitak on the Great Pyramid of Giza; Alnilam on the pyramid of Khafre; Mintaka on the pyramid of Menkaure; The Orion correlation theory is a fringe theory in Egyptology attempting to explain the arrangement of the Giza pyramid ...
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 .
Whereas most language learning is guided by teachers and textbooks, data-driven learning treats language as data and students as researchers undertaking guided discovery tasks. Underpinning this pedagogical approach is the data - information - knowledge paradigm (see DIKW pyramid). It is informed by a pattern-based approach to grammar and ...
Grav is designed to have a shallow learning curve, and to be easy to set up. The focus of Grav is speed and simplicity, rather than an abundance of built-in features that come at the expense of added complexity. The name Grav is a shortened version of the word gravity. [4] Grav is the most starred PHP CMS on GitHub, with over 14,565 stars. [5]
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Paul Pimsleur (October 17, 1927 – June 22, 1976) was a French-American linguist and scholar in the field of applied linguistics.He developed the Pimsleur language learning system, which, along with his many publications, had a significant effect upon theories of language learning and teaching.
Never-Ending Language Learning system (NELL) is a semantic machine learning system that as of 2010 was being developed by a research team at Carnegie Mellon University, and supported by grants from DARPA, Google, NSF, and CNPq with portions of the system running on a supercomputing cluster provided by Yahoo!.