Comparative analysis of two new concepts of adaptive training
L.S. Kuravsky, G.A. Yuryev, P.N. Dumin and 1 more
Экспериментальная психология · 2019
doi:10.17759/exppsy.2019120213 (opens in a new tab)
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Abstract
Two new concepts of adaptive learning are presented. The first of them is based on a self-learning probabilistic model, the second one uses multivariate statistical analysis of wavelet representations for task execution trajectories as well as a matrix of recommended transitions. A comparative analysis of various aspects of their practical application has been carried out.
Abstract licence: CC BY-NC
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