EduTVA: Metadata Schema for Educational Audiovisual Contents in Digital Television Environments

Angela M. Vargas-Arcila (), Julian A. Caicedo-Muñoz, Felipe Estrada-Solano, Carlos González-Amarillo, Armando Ordonez and Jose L. Arciniegas
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Angela M. Vargas-Arcila: Grupo de Investigación en Desarrollo Tecnológico, Cadena ETR, Escuela ECBTI, Universidad Nacional Abierta y a Distancia, Popayán 190003, Colombia
Julian A. Caicedo-Muñoz: Grupo de Investigación en Tecnología y Ambiente, Facultad de Ingenierías, Corporación Universitaria Autónoma del Cauca, Popayán 190003, Colombia
Felipe Estrada-Solano: Grupo Logiciel, Programa de Ingeniería de Sistemas, Fundación Universitaria de Popayán, Popayán 190003, Colombia
Carlos González-Amarillo: Vicerrectoría de Inclusión Social para el Desarrollo Regional y Proyección Comunitaria, Universidad Nacional Abierta y a Distancia, Bogotá 111511, Colombia
Armando Ordonez: Departamento de Tecnologías de Información y Comunicaciones, Universidad ICESI, Cali 760031, Colombia
Jose L. Arciniegas: Grupo de Ingeniería Telemática, Departamento de Telemática, Universidad del Cauca, Popayán 190003, Colombia

Future Internet, 2022, vol. 14, issue 11, 1-21

Abstract: The educational model faced unprecedented changes during the COVID-19 pandemic. In particular, the remote communication between teachers and learners was affected due to either the lack of or a poor Internet connection at home. Hence, television facilitates a more widespread communication technology with easier access than the Internet by playing an educational role for the mass audience through the broadcast of several learning resources (e.g., films, news, documentaries). However, there exists an increase in the educational audiovisual content, which needs to be organized and represented through description structures to be recovered. This paper proposes Educational TV-Anytime (EduTvA), a metadata schema for marking up educational audiovisual content and segments of the content in digital television. EduTVA emerges from an extensive revision of different metadata schemas for digital television and E-learning. Implementations of an EduTVA metadata authoring tool and an educational content search service support the evaluation of the user acceptance and functionality of the EduTVA metadata schema. Results show that EduTVA allows detailed descriptions of educational content and enables an accurate search of educational content.

Keywords: digital television; educational metadata; metadata schema; educational video content (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2022
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