Developing Learning Scenarios for Educational Web Radio: a Learning Design Approach

Evangelia Triantafyllou, Effrosyni Liokou, Anastasia Economou

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1 Citationer (Scopus)
212 Downloads (Pure)

Abstrakt

Radio has been used in education since the beginning of last century. With the rise of the internet, web radio came into life and provided new possibili-ties for web radio content (e.g. video apart from voice and music), asyn-chronous broadcasting, and cooperation between students from different schools. In this paper, we present a survey study that aimed to evaluate a Visual Learning Design (VLD) approach for developing educational scenari-os in web radio. The study results indicated that the VLD approach helped teachers to think about the educational aspects of the web radio production and helped in communicating their ideas. Moreover, the teachers highlighted the possibilities and the impact such web radio implementations could have for student learning and collaboration. The only aspect that received some criticism was the provision of technology, and this was partially due to the lack of previous experience in web radio production. These results will guide the application of the VLD approach in a bigger scale.
OriginalsprogEngelsk
TitelMethodologies and Intelligent Systems for Technology Enhanced Learning, 8th International Conference
RedaktørerPierpaolo Vittorini, Fernando De la Prieta, Sara Rodríguez, Elvira Popescu, Loreto Lancia, Rosella Gennari, Tania Di Mascio, Ricardo Azambuja Silveira, Marco Temperini
Antal sider8
ForlagSpringer
Publikationsdato1 jan. 2019
Sider222-229
ISBN (Trykt)978-3-319-98871-9
ISBN (Elektronisk)978-3-319-98872-6
DOI
StatusUdgivet - 1 jan. 2019
Begivenhed11th International Workshop on Social and Personal Computing for
Web-Supported Learning Communities
- Toledo, Spanien
Varighed: 20 jun. 201822 jun. 2018

Workshop

Workshop11th International Workshop on Social and Personal Computing for
Web-Supported Learning Communities
LandSpanien
ByToledo
Periode20/06/201822/06/2018
NavnAdvances in Intelligent Systems and Computing
Vol/bind804
ISSN2194-5357

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