Propuesta de un modelo de conocimiento basado en ontologías para describir las relaciones entre los pilares educativos de terapia de lenguaje, software, hardware, discapacidades y trastornos de la comunicación a fin de generar objetos de aprendizaje

Abstract

In the field of education, current technology offers tools such as learning objects and e-learning platforms to maximize its potential. In this context, the project focuses on developing a recommender system for specialized articles addressing issues affecting children and young people with disabilities. By utilizing tools like eXe and Selenium, learning objects required to address these issues are automatically generated. Data storage is achieved through NoSQL databases, such as MongoDB, and processing is carried out using Neo4j, a graph database that employs intelligent algorithms to generate recommendations. The recommender system underwent unit testing, and the functionality of the generated learning objects was evaluated. The evaluation results from experts and students demonstrated satisfactory performance and approval of the learning objects, with a rating of 4/5 and an 80% accessibility level by experts, and a rating of 4.45/5 and an 89% adaptability rate by students.