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The 70:20:10 model for learning and development (also written as 70-20-10 or 70/20/10) is a learning and development model that suggests a proportional breakdown of how people learn effectively. It is based on a survey conducted in 1996 asking nearly 200 executives to self-report how they believed they learned.
Academia, Inc. Academia.edu is a for-profit open repository of academic articles free to read by visitors. Uploading and downloading is restricted to registered users. Additional features are accessible only as a paid subscription. Since 2016 various social networking utilities have been added.
The Gerlach and Ely model emphasizes the cycle nature of instructional design. [1] The authors wanted to design a model which explained each component of the teaching and learning process while at the same time examining the relationship between the media and instruction. The model consists of ten elements and was constructed for teachers who ...
Google Scholar is a freely accessible web search engine that indexes the full text or metadata of scholarly literature across an array of publishing formats and disciplines. . Released in beta in November 2004, the Google Scholar index includes peer-reviewed online academic journals and books, conference papers, theses and dissertations, preprints, abstracts, technical reports, and other ...
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Education is a wide phenomenon that applies to all age groups and covers formal education (top row) as well as non-formal and informal education (bottom row). Education is the transmission of knowledge, skills, and character traits and manifests in various forms. Formal education occurs within a structured institutional framework, such as ...
Carol Ann Tomlinson is an American educator, author and speaker. She is known for her work with differentiated instruction, a means of meeting students' individual needs in education. [1] Tomlinson is a reviewer for eight journals and has authored over 300 articles and books including The Differentiated Classroom: Responding to the Needs of All ...
Deep learning is the subset of machine learning methods based on neural networks with representation learning. The adjective "deep" refers to the use of multiple layers in the network. Methods used can be either supervised, semi-supervised or unsupervised. [2]