Casual Learn: A linked data-based mobile application for learning about local Cultural Heritage
Adolfo Ruiz‐Calleja, Pablo García-Zarza, Guillermo Vega‐Gorgojo, Miguel L. Bote‐Lorenzo, Eduardo Gómez‐Sánchez, Juan Ignacio Asensio-Pérez, Sergio Serrano-Iglesias, Alejandra Martínez‐Monés · Semantic Web · 2022
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.