This article may require cleanup to meet Wikipedia's quality standards. No cleanup reason has been specified. Please help improve this article if you can.(November 2011) (Learn how and when to remove this message)
Spaced learning is a learning method in which highly condensed learning content is repeated three times, with two 10-minute breaks during which distractor activities such as physical activities are performed by the students. It is based on the temporal pattern of stimuli for creating long-term memories reported by R. Douglas Fields in Scientific American in 2005.[1] This 'temporal code' Fields used in his experiments was developed into a learning method for creating long-term memories by Paul Kelley, who led a team of teachers and scientists as reported in Making Minds[2] in 2008.
A paper on the method has been published in Frontiers in Human Neuroscience.[3] This makes a substantial scientific case for this approach to learning based on research over many years in different species. The distinctive features of the approach are made clear: the speed of instruction being minutes (as opposed to hours, days or months), the spaces and their function, and why content is repeated three times. Spaced learning has been reported in other species as being required for long-term memory creation, a finding that gives considerable weight to its use in education.
^R.Douglas Fields (February 2005), Making Memories Stick, Scientific American, pp. 58–63
^Paul Kelley (2008), Making Minds: What's wrong with education- and what should we do about it?, Routledge, ISBN 978-0-415-41411-1
^Frontiers in Human Neuroscience<http://www.frontiersin.org/Journal/10.3389/fnhum.2013.00589/abstract
Spaced repetition is an evidence-based learning technique that is usually performed with flashcards. Newly introduced and more difficult flashcards are...
Spacedlearning is a learning method in which highly condensed learning content is repeated three times, with two 10-minute breaks during which distractor...
Learningspace or learning setting refers to a physical setting for a learning environment, a place in which teaching and learning occur. The term is commonly...
retention: The spacing effect means that lessons or studying spaced out over time (spaced repetition) are better than cramming Teaching material to other...
Version spacelearning is a logical approach to machine learning, specifically binary classification. Version spacelearning algorithms search a predefined...
identified spacedlearning as the process of learning new information over a long period in multiple ways using different activities. High-quality learning could...
alternatives to rote learning include meaningful learning, associative learning, spaced repetition and active learning. Rote learning is widely used in the...
that learning is more effective when study sessions are spaced out. This effect shows that more information is encoded into long-term memory by spaced study...
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn...
mostly based around spaced repetition – increasing the time intervals between reviews whenever a card is recalled correctly. Spaced repetition is an evidence-based...
understood as the approach to teaching, is the theory and practice of learning, and how this process influences, and is influenced by, the social, political...
Distributed practice (also known as spaced repetition, the spacing effect, or spaced practice) is a learning strategy, where practice is broken up into...
Memrise is a British language platform that uses spaced repetition of flashcards to increase the rate of learning. It is based in London, UK. Memrise offers...
programs, materials or learning and development programs. The learning management system concept emerged directly from e-Learning. Learning management systems...
developed spacedlearning, based on the neuroscientific discoveries of Douglas Fields at the National Institutes of Health in the USA. SpacedLearning is delivering...
Reinforcement learning is one of three basic machine learning paradigms, alongside supervised learning and unsupervised learning. Reinforcement learning differs...
flashcard software. Flashcards are widely used as a learning drill to aid memorization by way of spaced repetition. "Basic Printing Support". Anki. 1 September...
repetition based on active recall (especially spaced repetition). His premise was that each repetition in learning increases the optimum interval before the...
In statistics and machine learning, ensemble methods use multiple learning algorithms to obtain better predictive performance than could be obtained from...
Deep reinforcement learning (deep RL) is a subfield of machine learning that combines reinforcement learning (RL) and deep learning. RL considers the problem...
gravitate towards spacedlearning. This was theorized to have happened because of a prior knowledge in the students that spacedlearning would help them...
Supervised learning (SL) is a paradigm in machine learning where input objects (for example, a vector of predictor variables) and a desired output value...
Deep learning is the subset of machine learning methods based on neural networks with representation learning. The adjective "deep" refers to the use of...
In machine learning, a variational autoencoder (VAE) is an artificial neural network architecture introduced by Diederik P. Kingma and Max Welling. It...
Global Information