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Analysis of factors involved in the teaching-learning system in a state of emergency

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Analysis of factors involved in the teaching-learning system in a state of emergency

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dc.contributor.author Pérez Avellaneda, Alba es_ES
dc.contributor.author Cueva, Diana es_ES
dc.contributor.author Martínez-Gómez, Mónica es_ES
dc.date.accessioned 2022-11-14T13:18:20Z
dc.date.available 2022-11-14T13:18:20Z
dc.date.issued 2022-09-20
dc.identifier.isbn 9788413960180
dc.identifier.uri http://hdl.handle.net/10251/189708
dc.description.abstract [EN] The present work arises as a consequence of the current situation that is being experienced worldwide due to COVID 19 and the repercussions it has had on households, especially in the adaptation to new forms of work and teaching, affecting social, economic and cultural aspects. The pandemic has hit the poor and vulnerable hardest, and could push millions more people into poverty, especially in Latin American countries. In this context, in Ecuador, due to the COVID-19 pandemic, extreme poverty is likely to increase dramatically. The study focuses on the application of different multivariate techniques, such as, Discriminant Analysis, Cluster Analysis and ROC curve,to develop a multidimensional poverty index based on non-monetary household resources such as equipment and basic services. With the combined use of the proposed techniques, an indicator was obtained that can serve as a tool for measuring the factors that can affect extreme poverty in Ecuador and it can be used to introduce continuous improvement actions in the resource assigments. es_ES
dc.format.extent 1 es_ES
dc.language Inglés es_ES
dc.publisher Editorial Universitat Politècnica de València es_ES
dc.relation.ispartof 4th International Conference on Advanced Research Methods and Analytics (CARMA 2022)
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Poverty Index es_ES
dc.subject Digital Divide es_ES
dc.subject Multivarte Techniques es_ES
dc.subject Latin America es_ES
dc.title Analysis of factors involved in the teaching-learning system in a state of emergency es_ES
dc.type Capítulo de libro es_ES
dc.type Comunicación en congreso es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Facultad de Administración y Dirección de Empresas - Facultat d'Administració i Direcció d'Empreses es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat es_ES
dc.contributor.affiliation Universitat Politècnica de València. Centro de Gestión de la Calidad y del Cambio - Centre de Gestió de la Qualitat i del Canvi es_ES
dc.description.bibliographicCitation Pérez Avellaneda, A.; Cueva, D.; Martínez-Gómez, M. (2022). Analysis of factors involved in the teaching-learning system in a state of emergency. En 4th International Conference on Advanced Research Methods and Analytics (CARMA 2022). Editorial Universitat Politècnica de València. 288-288. http://hdl.handle.net/10251/189708 es_ES
dc.description.accrualMethod OCS es_ES
dc.relation.conferencename CARMA 2022 - 4th International Conference on Advanced Research Methods and Analytics es_ES
dc.relation.conferencedate Junio 29-Julio 01, 2022 es_ES
dc.relation.conferenceplace Valencia, España
dc.relation.publisherversion http://ocs.editorial.upv.es/index.php/CARMA/CARMA2022/paper/view/15075 es_ES
dc.description.upvformatpinicio 288 es_ES
dc.description.upvformatpfin 288 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela OCS\15075 es_ES


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