A Game-based Approach for Open Data in Education:A Systematic Mapping Review

Abstract Open Data is defined as digital data that is made available with the technical and legal characteristics necessary to be freely used, reused, and redistributed by anyone, anytime and anywhere. Examples of Open Data can be data on mobility or pollution, which an increasing number of cities are making available to citizens. In education, the novel field of Open Data has the potential of empowering a young generation with digital skills and critical thinking through work with real-life Open Data. However, the scarcity of methods and tools for skills development and insertion into educational designs reduces the possibility of achieving this potential. This study is part of the project ODECO, aimed at addressing challenges in the creation of Open Data ecosystems in several contexts, such as education. A systematic mapping review was conducted to uncover the research connections between Open Data education and educational games. Twenty-eight studies were identified and analysed through iterative searching and including keywords related to Gamification, Open Data and Education. In doing this, relevant themes and novel approaches in the current literature were found. This paper discusses how the fields of Open Data education and educational games methodologically and theoretically contribute to outline a game-based approach for Open Data in education. An Open Data Gamified Education Framework leads to authentic learning experiences for real-world problem solving in relation to eight actions: connecting classroom activities to real facts, empowering students to act with Open Data, supporting technical Open Data skills in the classroom, building literacy and developing skills, enhancing civic participation, creating more realistic and appealing narratives, extending teaching outside the classroom by collecting data in real time and local settings, and increasing engagement and motivation. Acknowledgments. This study is funded by the ODECO Marie Skłodowska-Curie Innovative Training Network (H2020-MSCA-ITN-2020, grant agreement 955569), which aims at addressing challenges in the creation of user driven, circular, skill-based, and inclusive Open Data ecosystems (ODECO - Towards a Sustainable Open Data ECOsystem, 2021)

Ludo: An Ontology to Create Linked Data Driven Serious Games

International audienceGiven the increasing amount of structured data published on the Web, many possibilities are open for creating new types of games that use resources from the Web of Data. In particular, if we consider the subcategory of Serious Games in which the object of the game is to educate the user through the interactive discovery of real-life concepts (associated to Semantic Web resources), the inclusion of a semantic representation of the user profile and his contextual information becomes an important element to recommend the user more accurate concepts. This paper proposes and describes an ontology that allows the creation of Serious Games with those characteristics. The potential of the ontology is shown through two use cases: a serious, Web-based and question-based boardgame prototype and the Semantic Educloud project

Ludo: An Ontology to Create Linked Data Driven Serious Games

International audienceGiven the increasing amount of structured data published on the Web, many possibilities are open for creating new types of games that use resources from the Web of Data. In particular, if we consider the subcategory of Serious Games in which the object of the game is to educate the user through the interactive discovery of real-life concepts (associated to Semantic Web resources), the inclusion of a semantic representation of the user profile and his contextual information becomes an important element to recommend the user more accurate concepts. This paper proposes and describes an ontology that allows the creation of Serious Games with those characteristics. The potential of the ontology is shown through two use cases: a serious, Web-based and question-based boardgame prototype and the Semantic Educloud project

Ludo: An Ontology to Create Linked Data Driven Serious Games

International audienceGiven the increasing amount of structured data published on the Web, many possibilities are open for creating new types of games that use resources from the Web of Data. In particular, if we consider the subcategory of Serious Games in which the object of the game is to educate the user through the interactive discovery of real-life concepts (associated to Semantic Web resources), the inclusion of a semantic representation of the user profile and his contextual information becomes an important element to recommend the user more accurate concepts. This paper proposes and describes an ontology that allows the creation of Serious Games with those characteristics. The potential of the ontology is shown through two use cases: a serious, Web-based and question-based boardgame prototype and the Semantic Educloud project

Linked Open Data Driven Game Generation

Linked Open Data provides a means of unified access to large and complex interconnected data sets that concern themselves with a surprising breath and depth of topics. This unified access in turn allows for the consumption of this data for modelling cultural heritage sites, historical events or creating serious games. In the following paper we present our work on simulating the terrain of a Great War battle using data from multiple Linked Open Data projects