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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 1950, Alan Turing proposed a "learning machine" which would parallel the principles of evolution. [40] Computer simulation of evolution started as early as in 1954 with the work of Nils Aall Barricelli, who was using the computer at the Institute for Advanced Study in Princeton, New Jersey. [41] [42] His 1954 publication was not widely noticed.
Differential evolution – Based on vector differences and is therefore primarily suited for numerical optimization problems. Coevolutionary algorithm – Similar to genetic algorithms and evolution strategies, but the created solutions are compared on the basis of their outcomes from interactions with other solutions.
Stickleback fish have repeatedly moved between marine and freshwater environments, with widespread convergent evolution to adapt and readapt to these environments in different species. [ 125 ] Flying fish can fly up to 400 m (1,300 ft) at speeds of more than 70 kilometres per hour (43 mph) at a maximum altitude of more than 6 m (20 ft), much ...
Many species have the ability to adapt through learning. [3] Organisms will often learn through various psychological and cognitive processes, such as operant and classical conditioning and discrimination memory. [3] This learning process allows organisms to modify their behavior to survive in unpredictable environments. [3]
Mobile-assisted language learning (MALL) is the use of handheld computers or cell phones to assist in language learning. Collaborative apps allow students and teachers to interact while studying. Apps are designed after games, which provide a fun way to revise. When the experience is enjoyable, the students become more engaged.
Often, two or more species co-adapt and co-evolve as they develop adaptations that interlock with those of the other species, such as with flowering plants and pollinating insects. In mimicry , species evolve to resemble other species; in mimicry this is a mutually beneficial co-evolution as each of a group of strongly defended species (such as ...
Among the most used adaptive algorithms is the Widrow-Hoff’s least mean squares (LMS), which represents a class of stochastic gradient-descent algorithms used in adaptive filtering and machine learning. In adaptive filtering the LMS is used to mimic a desired filter by finding the filter coefficients that relate to producing the least mean ...