Titlebook: HUMAN LEARNING: From Learning Curves to Learning Organizations; Ezey M. Dar-Ei Book 2000 Springer Science+Business Media New York 2000 Cha

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https://doi.org/10.1007/978-1-4757-6744-5edures. This is especially important during the early ‘cycles’ (or, ‘repetitions’), when each repetition adds both confidence and usually, improved speed in accomplishing the performed task. As the number of repetitions increases into the hundreds, improvements in learning are not so discernable bet

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https://doi.org/10.1007/978-3-642-88424-5that the . for developing the learning curve is .. Consequently, it is essential to develop the learning model as early as possible from the start of data generation. This means that potential learning models should focus on evaluating the . number of parameters compatible with the ‘goodness of fit’

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https://doi.org/10.1007/978-3-658-00905-2onsequently require such individuals to undergo regular refresher training courses in order to get their skills back to peak performance and thereby reduce the chances of making a response error to dangerous situations.

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2522-8927 and generators, bioclimatic architecture, energy audits, construction and design, low carbon mobility, green steel, batteries and supercapacitors, regulatory issues and public policy, circular economy, urban mining and much more..978-3-031-61662-4978-3-031-61660-0Series ISSN 2522-8927 Series E-ISSN 2522-8935