Chapter 6 Recommender Systems

Chapter 6 Recommender Systems

2015 | Luis Anido-Rifón, Juan Santos-Gago, Manuel Caeiro-Rodríguez, Manuel Fernández-Iglesias, Rubén Míguez-Pérez, Agustín Cañas-Rodríguez, Víctor Alonso-Rorís, Javier García-Alonso, Roberto Pérez-Rodríguez, Miguel Gómez-Carballa, Marcos Mouriño-García, Mario Manso-Vázquez, and Martín Llamas-Nistal
This chapter introduces the iTEC Scenario Development Environment (SDE), a software application designed to assist teachers in selecting appropriate educational resources, such as software applications, events, and experts, for their classrooms. The SDE is based on an ontology developed collaboratively by a multidisciplinary team of experts and uses semantic web technologies to enrich its data set with additional information from external web sources. The system takes into account contextual factors to calculate the relevance of each resource, making it a context-aware recommender system. The chapter also presents two successful case studies where the SDE has been integrated into educational authoring tools, specifically the Composer and the AREA application. Additionally, the chapter discusses the evaluation of the SDE through three testing sessions with teachers from Spain, the UK, and Finland, highlighting that participants found the recommendations useful for fostering innovation in the classroom. The main contributions of the research include the development of a comprehensive semantic model, the innovative approach to recommending non-traditional educational resources, and the availability of the SDE's API for integration into other applications.This chapter introduces the iTEC Scenario Development Environment (SDE), a software application designed to assist teachers in selecting appropriate educational resources, such as software applications, events, and experts, for their classrooms. The SDE is based on an ontology developed collaboratively by a multidisciplinary team of experts and uses semantic web technologies to enrich its data set with additional information from external web sources. The system takes into account contextual factors to calculate the relevance of each resource, making it a context-aware recommender system. The chapter also presents two successful case studies where the SDE has been integrated into educational authoring tools, specifically the Composer and the AREA application. Additionally, the chapter discusses the evaluation of the SDE through three testing sessions with teachers from Spain, the UK, and Finland, highlighting that participants found the recommendations useful for fostering innovation in the classroom. The main contributions of the research include the development of a comprehensive semantic model, the innovative approach to recommending non-traditional educational resources, and the availability of the SDE's API for integration into other applications.
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