DIA4K12: Framework for Managing then Teaching-Learning of Artificial Intelligence at Early Ages
Abstract:
Artificial Intelligence (AI) is intervening positively in educations. UNESCO considers as a new vision to involve AI not only as a didactic medium but also as a science in which children can develop their intellect, through workshops, courses, and curricula focused on the fundamentals of AI, allowing them to develop skills such as computational and critical thinking. This research aims to design the DIA4K12 framework, which proposes the structure to support the teaching-learning process of AI in primary and secondary education. The core of the framework consists of four phases: planning, execution, process, and development; three components: open educational resources, K-12 curriculum and active methodologies; five sublevels: logical reasoning, computational thinking, and disconnected artificial intelligence, mathematics for AI, programming and machine learning; and three transversal axes: communities (communities of practice), open license (creative commons) and ethics. Finally, the framework was applied to a case study in the context of the Ecuadorian General Basic Education curriculum for the subject of Mathematics, using three phases, three components, and two sublevels.
Año de publicación:
2022
Keywords:
- Machine learning
- Education
- Computational Thinking
- SCHOOL CURRICULUM
- Information technology education
Fuente:
Tipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Tecnología educativa
- Tecnología educativa
Áreas temáticas:
- Ciencias de la computación
- Interacción social
- Escuelas y sus actividades; educación especial