Marco jurídico para el análisis del derecho a la educación superior de las personas con discapacidad

Quintero, Sandra Patricia Duque; Quintero, Mónica Duque

doi:10.2307/j.ctv1dv0v33.8

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Teoría De La Red De Conocimiento1

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2023

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“…Son sus talentos los que responden con la optimización de los recursos en función de las demandas. El desequilibrio entre los requerimientos del mercado o del Estado, las organizaciones generan conocimientos y procesos circunscritos a los discursos (Quintero et al, 2016).…”

Section: Teoría De La Red De Conocimientounclassified

Knowledge networks in the era of Covid-19

García Lirios

2023

TrayectoriasUniversitarias

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Roughly speaking, knowledge networks are explained from a neural network in which degrees of learning are established, considering the differences between the input layer, the intermediate or hidden layer and the output layer. A non-experimental, cross-sectional and exploratory study was carried out with a non-probabilistic selection of 300 students, managers and teachers from a public university in central Mexico. The results show a factorial asymmetry of one input layer unit for three output layer units, suggesting that there is a significant degree of learning around the knowledge network. However, there are areas of opportunity around the hidden layer, since its units reveal information processing that reduces the uncertainty of the input layer and amplifies the knowledge of the output layer.

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Section: Teoría De La Red De Conocimientounclassified

Knowledge networks in the era of Covid-19

García Lirios

2023

TrayectoriasUniversitarias

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Marco jurídico para el análisis del derecho a la educación superior de las personas con discapacidad

Cited by 1 publication

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Knowledge networks in the era of Covid-19

Knowledge networks in the era of Covid-19

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