Análisis en una serie de vigilancia activa. Factores relacionados con la evolución, la calidad de vida y la ansiedad

Asensio, Sara Marcos

doi:10.14201/gredos.145782

DOI: 10.14201/gredos.145782

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Análisis en una serie de vigilancia activa. Factores relacionados con la evolución, la calidad de vida y la ansiedad

Sara Marcos Asensio¹

Abstract: Relación de abreviaturas por orden de aparición.Relación de imágenes, tablas y gráficos por orden de aparición. INTRODUCCIÓN.

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Evaluation and quality assurance in training programs with hybrid teaching-learning models in a pandemic period

ÁLVAREZ-CISTERNAS¹

2022

JTER

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The present article aims to illustrate the current challenges facing Chile, to publicly certify the quality of a set of pre and postgraduate programs offered in virtual modality. In this way, from the methodological point of view, it is a study with a qualitative approach, of a descriptive type, with a non-experimental design, based on a documentary analysis of secondary sources. Therefore, in a first approximation, the different evaluation models applicable to the educational field are emphasized, to certify the quality of the virtual training programs, as well as methodological and implementation aspects, to subsequently provide some guidelines, which could be applicable to the Chilean reality, with the purpose of certifying and accrediting the quality of said programs.

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Evaluation and quality assurance in training programs with hybrid teaching-learning models in a pandemic period

ÁLVAREZ-CISTERNAS¹

2022

JTER

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Análisis en una serie de vigilancia activa. Factores relacionados con la evolución, la calidad de vida y la ansiedad

Abstract: Relación de abreviaturas por orden de aparición.Relación de imágenes, tablas y gráficos por orden de aparición. INTRODUCCIÓN.

Cited by 1 publication

References 67 publications

Evaluation and quality assurance in training programs with hybrid teaching-learning models in a pandemic period

Evaluation and quality assurance in training programs with hybrid teaching-learning models in a pandemic period

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