Optimizing Didactic Sequences with Artificial Intelligence: Integrating Bloom’s Taxonomy and Emotion in the Selection of Educational Technologies

This paper presents an innovative evolution of the ’Adaptive Competence System for Technologies Integration in Education’ (SACITED) tool. SACITED stands for the spanish name: Sistema Adaptativo de Competencias para la Integración de Tecnologías en Educación. SACITED now incorporates the OpenAI GPT API for the generation of didactic sequences. The tool was originally focused on mathematics but has since expanded to multiple disciplines, including Education, Engineering, and Science. This integration enables the generation of learning sequences in a more efficient and adaptive manner, significantly improving the quality and relevance of education across a broad spectrum of content. The article explains how SACITED facilitates the assessment and training of ICT (Information Communication Technologies) competencies in teachers from different disciplines, using the TPACK model and Bloom’s Digital Taxonomy. The incorporation of a GPT model presents a new opportunity for unparalleled customization and adaptability in generating educational content. Initial findings indicate significant potential for enhancing ICT integration in both the classroom and teacher training, emphasizing the importance of personalized and adaptive tools in modern education.