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.
Highlights
O During the last 15 years, an increasing amount of Cultural Heritage data is available on the Web [14]
C This paper has presented Casual Learn, a learning application that proposes ubiquitous learning tasks about E Cultural Heritage sites obtained from the Web of Data
Since Casual Learn is based on the SLEek ontology [22], its data model captures the elements of ubiquitous learning environments [16]: R the social human element, represented by the relations between participants; the virtual space artifacts, which are the tasks that are semi-automatically generated; and the real world objects, here the Cultural Heritage sites in which
Summary
O During the last 15 years, an increasing amount of Cultural Heritage data is available on the Web [14]. We applied a set of manually-created templates to obtain a 5-star dataset [2] of learning tasks about Cultural Heritage that is currently available in a SPARQL endpoint. We applied a set of manually-created templates to obtain a 5-star dataset [2] of learning tasks about Cultural Heritage that is currently available in a SPARQL endpoint1 During this process we were supported by 8 secondary-school teachers and 13 ubiquitous learning experts. As the description of the Castle of Ampudia in E DBpedia is related to the concept of Barbican, we obtained the third task reported in Listing 2 Following this procedure, we created 10,000 instances of cl:Task. Casual Learn should recommend Cultural Heritage sites to visit, and tasks R to carry out, taking into consideration their proximity to the learner. The application is running in the background and recommends the user to approach a site where she can carry out some tasks
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