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dc.contributor.authorMateo-Trujillo, J. Ignacio
dc.contributor.authorRodríguez Rodríguez, Ignacio
dc.contributor.authorCastillo-Barnes, Diego
dc.contributor.authorOrtiz-García, Andrés 
dc.contributor.authorLuque-Vilaseca, Juan Luis 
dc.date.accessioned2024-05-15T10:43:50Z
dc.date.available2024-05-15T10:43:50Z
dc.date.issued2024
dc.identifier.urihttps://hdl.handle.net/10630/31290
dc.description.abstractThe LEEDUCA project has developed a recommendation system to generate intervention sessions tailored to children with dyslexia. Due to the limitations in obtaining real data for preliminary testing, the generation of in silico data, referred to as ”virtual children,” has been implemented. This approach allows for the simulation of a wide range of profiles and response patterns, enabling comprehensive testing of the system before its implementation with real users. The behavior of virtual readers is modeled using logistic curves, which reflect the natural evolution of users in a system that suggests words ordered by difficulty over time. By introducing variations to the model based on the coefficients that define the logistic curve, response sequences with different difficulty levels and learning rates can be simulated. To evaluate the stability of the system, multiple variations are generated from a given virtual child, creating a shadow of possible sequences. The generation of virtual children using logistic curves and the controlled introduction of variations in their responses provide a robust framework for testing the recommendation system, ensuring its reliability and adaptability to the individual needs of children with dyslexia.es_ES
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.es_ES
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectDislexia - Simulación por ordenadores_ES
dc.subjectMétodos de simulaciónes_ES
dc.subjectSistemas expertoses_ES
dc.subjectInteligencia artificial - Aplicaciones científicases_ES
dc.subject.otherData modellinges_ES
dc.subject.otherData simulationes_ES
dc.subject.otherLogistic modeles_ES
dc.subject.otherRecommendation systemes_ES
dc.titleGeneration of Virtual Children for testing a Recommendation System for Interventions with Children with Dyslexia.es_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.centroE.T.S.I. Telecomunicaciónes_ES
dc.relation.eventtitleInternational Conference on Mathematical Analysis and Applications in Science and Engineeringes_ES
dc.relation.eventplacePorto, Portugales_ES
dc.relation.eventdate20 - 22 June 2024es_ES
dc.rights.ccAttribution-NonCommercial-NoDerivatives 4.0 Internacional*


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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