Algoritmos de IA que se utilizan para los profesores virtuales y tutores inteligentes, pasado, presente y futuro

• Javier Arranz-Romero ^[1]
  1. [1] Universitat d'Alacant

     Universitat d'Alacant

     Alicante, España

     
• Localización: Enseñanza y aprendizaje en la era digital desde la investigación y la innovación / coord. por Fabrizio Manuel Sirignano, Rosabel Martínez Roig, Alexander López Padrón, 2024, ISBN 978-84-1079-000-1, págs. 14-23
• Idioma: español
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• Resumen

  • This study explores the algorithms that exist and are utilised through artificial intelligence(AI) with the aim of developing virtual tutors in the future that not only simulate human interactions butalso adapt and respond to the emotional needs of students. Through a systematic review methodologybased on the PRISMA model, academic articles discussing the integration of AI in educational environmentswere examined, especially those using AI to detect and manage emotions. The findings revealthat, although technology has advanced significantly, the implementation of emotional AI systems ineducation still faces significant ethical and practical challenges. These include concerns about privacy,informed consent, and the potential biases in the data used to train AI algorithms. The article suggeststhat the effective combination of AI and neuroeducation principles can offer more personalised andeffective teaching methods, promoting adaptive learning that enhances student motivation and performance.Additionally, it highlights the need for robust ethical guidelines and continuous evaluation toensure that the implementation of these technologies in educational settings respects and enhances thediversity and inclusion of all students.