Casual Learn: A linked data-based mobile application for learning about local Cultural Heritage-Reference-Cited by-同舟云学术

Casual Learn: A linked data-based mobile application for learning about local Cultural Heritage

Published:2022-12-15 Issue:2 Volume:14 Page:181-195
ISSN:2210-4968
Container-title:Semantic Web
language:
Short-container-title:SW

Author:

Ruiz-Calleja Adolfo¹,García-Zarza Pablo¹,Vega-Gorgojo Guillermo¹,Bote-Lorenzo Miguel L.¹,Gómez-Sánchez Eduardo¹,Asensio-Pérez Juan I.¹,Serrano-Iglesias Sergio¹,Martínez-Monés Alejandra²

Affiliation:

1. Departamento de Teoría de la Señal y Comunicaciones e Ingeniería Telemática, E.T.S. Ingenieros de Telecomunicación, Universidad de Valladolid, Valladolid, Spain

2. Departamento de Informática, Escuela de Ingeniería Informática, Universidad de Valladolid, Valladolid, Spain

Abstract

This paper presents Casual Learn, an application that proposes ubiquitous learning tasks about Cultural Heritage. Casual Learn exploits a dataset of 10,000 contextualized learning tasks that were semiautomatically generated out of open data from the Web. Casual Learn offers these tasks to learners according to their physical location. For example, it may suggest describing the characteristics of the Gothic style when passing by a Gothic Cathedral. Additionally, Casual Learn has an interactive mode where learners can geo-search the tasks available. Casual Learn has been successfully used to support three pilot studies in two secondary-school institutions. It has also been awarded by the regional government and an international research conference. This made Casual Learn to appear in several regional newspapers, radios, and TV channels.

Publisher

IOS Press

Subject

Computer Networks and Communications,Computer Science Applications,Information Systems

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