Optimizing Didactic Sequences with Artificial Intelligence: Integrating Bloom's Taxonomy and Emotion in the Selection of Educational Technologies
Abstract
This paper presents an innovative evolution of the âAdaptive Competence System for Technologies Integration in Educationâ (SACITED) tool. SACITED stands for the spanish name: Sistema Adaptativo de Competencias para la Integración de TecnologÃas 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 Bloomâs 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.
Más información
| Título según WOS: | Optimizing Didactic Sequences with Artificial Intelligence: Integrating Bloom's Taxonomy and Emotion in the Selection of Educational Technologies |
| Título según SCOPUS: | Optimizing Didactic Sequences with Artificial Intelligence: Integrating Bloomâs Taxonomy and Emotion in the Selection of Educational Technologies |
| Título de la Revista: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Volumen: | 14674 |
| Editorial: | Springer Science and Business Media Deutschland GmbH |
| Fecha de publicación: | 2024 |
| Página de inicio: | 509 |
| Página final: | 517 |
| Idioma: | English |
| DOI: |
10.1007/978-3-031-61140-7_48 |
| Notas: | ISI, SCOPUS |