RT Conference Proceedings
T1 Generation of Virtual Children for testing a Recommendation System for Interventions with Children with Dyslexia.
A1 Mateo-Trujillo, J. Ignacio
A1 Rodríguez-Rodríguez, Ignacio
A1 Castillo-Barnes, Diego
A1 Ortiz-García, Andrés
A1 Luque-Vilaseca, Juan Luis
K1 Dislexia - Simulación por ordenador
K1 Métodos de simulación
K1 Sistemas expertos
K1 Inteligencia artificial - Aplicaciones científicas
AB The 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 orderedby 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.
YR 2024
FD 2024
LK https://hdl.handle.net/10630/31290
UL https://hdl.handle.net/10630/31290
LA eng
NO Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026