Por favor, use este identificador para citar o enlazar este ítem: https://doi.org/10.3390/app122211635

Título: Digital technologies for the assessment of oral English skills
Fecha de publicación: 16-nov-2022
Editorial: MDPI
Cita bibliográfica: Applied Sciences, 2022, Vol. 12 ( 22) : 11635
ISSN: Electronic: 2076-3417
Palabras clave: Tecnología educativa
Foreign language teaching
Oral English skills
ICT
Secondary education
Design based research
Resumen: The assessment of oral skills in the learning process of a foreign language is very important for promoting the improvement of these competences. Furthermore, digital tools can be useful for making this task easier for teachers and promoting their collaboration based on professional online communities. In this article, we present the AROSE platform, a new digital tool developed to help secondary education teachers assess their students’ oral skills in English as a foreign language. To evaluate this platform, we have promoted an international online community of secondary education teachers in a project funded by the Erasmus+ programme. The research has been developed using a design-based research methodology. Three different iterations of the platform design process were carried out. We have used a mixed method combining focus groups (of both teachers and experts), observation forms, and questionnaires for teachers. The main results obtained demonstrate the need among teachers to integrate technology to improve the evaluation process. The AROSE platform successfully caters to this need, as demonstrated by the significant data on the use and satisfaction of its users
Autor/es principal/es: Gutiérrez Porlán, Isabel
Prendes Espinosa, María Paz
Sánchez Vera, María del Mar
Versión del editor: https://www.mdpi.com/2076-3417/12/22/11635
URI: http://hdl.handle.net/10201/150483
DOI: https://doi.org/10.3390/app122211635
Tipo de documento: info:eu-repo/semantics/article
Número páginas / Extensión: 16
Derechos: info:eu-repo/semantics/openAccess
Atribución 4.0 Internacional
Descripción: © 2022 by the authors. This manuscript version is made available under the CC-BY 4.0 license http://creativecommons.org/licenses/by/4.0/ This document is the Published Manuscript, version of a Published Work that appeared in final form in Applied Sciences. To access the final edited and published work see https://doi.org/10.3390/app122211635
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