RT Journal Article
T1 Optimizing dyslexia intervention through an adaptive sequential recommender system
A1 Mateo-Trujillo, J. Ignacio
A1 Rodríguez-Rodríguez, Ignacio
A1 Castillo-Barnes, Diego
A1 Ortiz-García, Andrés
A1 Sánchez, Auxiliadora
A1 Luque-Vilaseca, Juan Luis
K1 Dislexia
K1 Lectura - Problemas de aprendizaje
K1 Tecnología educativa
K1 Psicología de la educación
AB Children with dyslexia face significant learning difficulties that require personalized and intensive interventions. Although computer-based support programs exist, they often fail to adapt to the unique needs of each child, representing a major challenge in the field of educational intervention. This article presents a new adaptive sequential guidance system for personalized dyslexia intervention that addresses these limitations. The proposed methodology incorporates several key innovations: (1) a dynamic word generator that creates phonetically modified words and pseudowords from seed words, (2) a three-dimensional matrix structure (E, W, and F) to effectively manage word difficulty and user performance, and (3) a recommendation algorithm based on matrix factorization. To mitigate cold-start problems, the system implements a heuristic initiation process and uses an extension technique to detect difficulties in specific derived words. Additionally, the concept of “virtual children” generated from real data and based on Bayesian Knowledge Tracking is introduced, allowing thorough testing and optimization of the system prior to its actual implementation. The evaluation of the system demonstrates three main results: (1) the use of heat maps and 3D visualization of the E matrix allows identifying specific areas of difficulty for each user, facilitating more targeted interventions; (2) extensive testing confirms the robustness of the system to reduce error rates in multiple trials; and (3) a parametric study evidences the ability of the system to adapt through adjustable parameters, keeping each child in his or her optimal learning zone
PB ELSEVIER
YR 2025
FD 2025-11-04
LK https://hdl.handle.net/10630/39853
UL https://hdl.handle.net/10630/39853
LA eng
NO J. Ignacio Mateo Trujillo, Ignacio Rodríguez-Rodríguez, Diego Castillo-Barnes, Andrés Ortiz, Auxiliadora Sánchez, Juan L. Luque, Optimizing dyslexia intervention through an adaptive sequential recommender system, Knowledge-Based Systems, Volume 329, Part A, 2025, 114309, ISSN 0950-7051, https://doi.org/10.1016/j.knosys.2025.114309. (https://www.sciencedirect.com/science/article/pii/S0950705125013504)
NO Funding for open access charge: Universidad de Málaga / CBUA
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 3 mar 2026