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Adaptive learning information


Adaptive learning, also known as adaptive teaching, is an educational method which uses computer algorithms as well as artificial intelligence to orchestrate the interaction with the learner and deliver customized resources and learning activities to address the unique needs of each learner.[1] In professional learning contexts, individuals may "test out" of some training to ensure they engage with novel instruction. Computers adapt the presentation of educational material according to students' learning needs, as indicated by their responses to questions, tasks and experiences. The technology encompasses aspects derived from various fields of study including computer science, AI, psychometrics, education, psychology, and brain science.

Research conducted, particularly in educational settings within the United States, has demonstrated the efficacy of adaptive learning systems in promoting student learning. Among 37 recent studies that examined the effects of adaptive learning on learning outcomes, an overwhelming majority of 86% (32 studies) reported positive effects. [2]

Adaptive learning has been partially driven by a realization that tailored learning cannot be achieved on a large-scale using traditional, non-adaptive approaches. Adaptive learning systems endeavor to transform the learner from passive receptor of information to collaborator in the educational process. Adaptive learning systems' primary application is in education, but another popular application is business training. They have been designed as desktop computer applications, web applications, and are now being introduced into overall curricula.[3]

  1. ^ Andreas Kaplan (2021). Higher Education at the Crossroads of Disruption, The University of the 21st century. Emeral Publishers. ISBN 9781800715042.
  2. ^ Wang, Shuai; Christensen, Claire; Cui, Wei; Tong, Richard; Yarnall, Louise; Shear, Linda; Feng, Mingyu (2023-02-17). "When adaptive learning is effective learning: comparison of an adaptive learning system to teacher-led instruction". Interactive Learning Environments. 31 (2): 793–803. doi:10.1080/10494820.2020.1808794. ISSN 1049-4820. S2CID 225186350.
  3. ^ Peter Brusilovsky (2003). "Adaptive and Intelligent Web-based Educational Systems". International Journal of Artificial Intelligence in Education. 13 (2–4): 159–172.

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Adaptive learning

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efficacy of adaptive learning systems in promoting student learning. Among 37 recent studies that examined the effects of adaptive learning on learning outcomes...

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Learning rate

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the learning rate is often varied during training either in accordance to a learning rate schedule or by using an adaptive learning rate. The learning rate...

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Adaptive management

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Adaptive management, also known as adaptive resource management or adaptive environmental assessment and management, is a structured, iterative process...

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Machine learning

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self-learning, named crossbar adaptive array (CAA). It is learning with no external rewards and no external teacher advice. The CAA self-learning algorithm...

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Stochastic gradient descent

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for each pass to prevent cycles. Typical implementations may use an adaptive learning rate so that the algorithm converges. In pseudocode, stochastic gradient...

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McGraw Hill Education

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Advanced Learning, A Digital Personalized Learning Provider for K-12". Retrieved September 30, 2016. "McGraw Hill Acquires Kidaptive, an Adaptive and Personalized...

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Knewton

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Knewton is an adaptive learning company that has developed a platform to personalize educational content as well as has developed courseware for higher...

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Colorado Technical University

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2012, CTU began using a proprietary adaptive learning program called Intellipath, to provide personalized learning. In 2013 and 2014, Military Times magazine...

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Squirrel AI

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specializes in intelligent adaptive education. It is one of the first companies offering large scale AI-powered adaptive education solutions in China...

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DreamBox Learning

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"DreamBox Learning: Adaptive, Engaging, and Motivating Math". HuffPost. Retrieved 3 July 2013. Adams, Caralee. "Individualized Learning". Scholastic...

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Unsupervised learning

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supervision again with the advent of dropout, ReLU, and adaptive learning rates. During the learning phase, an unsupervised network tries to mimic the data...

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Smart Sparrow

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tools, known collectively as the Adaptive eLearning Platform, are a web-based suite that develops adaptive learning content and applications, deploys...

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Flipped classroom

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pre-class preparation is now done through adaptive lessons for half of the course (limited funding). A commercial adaptive platform, Smart Sparrow, that combines...

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Kidaptive

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product is an adaptive-learning platform, which powers a variety of learning domains including two Kidaptive-created apps for early learning. Kidaptive was...

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Maury Gallagher

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of several non-aviation businesses in the telecommunications and adaptive learning fields. He is also the co-owner of the NASCAR Cup Series racing team...

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Intellectual disability

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person's adaptive functioning, the diagnosis is not made rigidly. It encompasses intellectual scores, adaptive functioning scores from an adaptive behavior...

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Area9 Lyceum

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Area9 Lyceum is a cloud-based adaptive-learning software provider headquartered in Copenhagen, Denmark and Boston, Massachusetts. Area9 was founded in...

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Educational technology

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the learner, who may not even be conscious of the learning process. The combination of adaptive learning, using an individualized interface and materials...

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Adaptive control

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Nondual adaptive controllers Adaptive pole placement Extremum-seeking controllers Iterative learning control Gain scheduling Model reference adaptive controllers...

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Adaptive filter

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complexity of the optimization algorithms, almost all adaptive filters are digital filters. Adaptive filters are required for some applications because some...

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Learning

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thought to underlie both adaptive as well as maladaptive learning processes in the organism.[citation needed] Active learning occurs when a person takes...

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Philip Kellman

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Medicine, and the founder of Insight Learning Technology, Inc, a company that applies perceptual learning, adaptive learning technology, and principles from...

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Adaptive bitrate streaming

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that multi-agent Q-learning can be applied to improve QoE fairness among multiple adaptive streaming clients. HTTP-based adaptive bit rate technologies...

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Personalized learning

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once schools new to personalized learning overcome their fifth year of implementation. Adaptive learning Blended learning Flip teaching Gradual release of...

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Reinforcement learning

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Reinforcement learning is one of three basic machine learning paradigms, alongside supervised learning and unsupervised learning. Reinforcement learning differs...

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JumpStart

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Technology, JumpStart Adaptive Learning Technology, and JumpStart Tutor Technology. These techniques aimed to customize skill levels, adapt difficulty levels...

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Learning management system

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programs, materials or learning and development programs. The learning management system concept emerged directly from e-Learning. Learning management systems...

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