Below we are going to comment from a pedagogical perspective, what competencies in Artificial Intelligence (AI) are necessary for Primary and Secondary teachers and students.
As AI is integrated into various sectors, education is no exception, and its inclusion in the school curriculum is essential to prepare students for the future.
AI Competencies for Primary and Secondary Teachers
Teachers play a crucial role in integrating AI into education, not only as facilitators of knowledge but also as role models in acquiring new technological skills. Below is a table of competencies with monitoring indicators for teachers:
| Competencia en AI | Nivel Inicial | Nivel Intermedio | Nivel Avanzado |
| Conocimiento básico de AI | Comprende los conceptos fundamentales de la AI. | Aplica los conceptos de AI en el contexto educativo. | Diseña actividades educativas incorporando AI. |
| Uso de herramientas de AI en el aula | Explora herramientas de AI disponibles. | Integra herramientas de AI en las lecciones. | Evalúa y selecciona herramientas de AI adaptadas a necesidades específicas. |
| Fomento del pensamiento crítico sobre AI | Identifica ejemplos de AI en la vida cotidiana. | Analiza el impacto de la AI en la sociedad. | Promueve debates éticos sobre el uso de la AI. |
| Desarrollo de habilidades de programación | Conoce los principios básicos de programación. | Aplica conocimientos de programación en proyectos de AI. | Guía a los estudiantes en el desarrollo de proyectos de AI. |
AI Skills for Primary and Secondary Students
For students, AI competencies should focus on introducing them to technology in a way that stimulates their curiosity, creativity, and critical thinking. Below is a table of competencies with monitoring indicators for students:
| Competencia en AI | Primaria: Nivel Inicial | Primaria: Nivel Avanzado | Secundaria: Nivel Inicial | Secundaria: Nivel Avanzado |
| Entendimiento básico de AI | Identifica ejemplos de AI. | Explica cómo funciona la AI en ejemplos simples. | Comprende los principios de la AI. | Analiza el impacto de la AI en diferentes sectores. |
| Uso de herramientas de AI | Usa herramientas de AI con ayuda. | Realiza proyectos simples con herramientas de AI. | Integra herramientas de AI en proyectos escolares. | Desarrolla proyectos complejos utilizando AI. |
| Pensamiento crítico y ético sobre AI | Reconoce la AI en su entorno. | Reflexiona sobre el uso de la AI en su vida cotidiana. | Debate sobre cuestiones éticas relacionadas con la AI. | Evalúa críticamente el impacto social de la AI. |
| Programación y desarrollo de AI | Realiza actividades de programación básica. | Diseña proyectos simples con bloques de programación. | Aprende lenguajes de programación específicos para AI. | Desarrolla y presenta proyectos de AI. |
These tables serve as a guide to structure the integration of AI competencies within the educational curriculum for teachers and students.
It is essential that both groups develop not only technical knowledge but also a critical understanding of the ethical and social implications of AI. Implementing these competencies requires an adaptive approach and resources that evolve with technology, thus ensuring that education remains relevant and future-proof.
Monitoring Artificial Intelligence (AI) competency indicators for teachers and students is essential to measure progress and ensure the effective integration of these skills into the educational curriculum. To achieve this, various methodological strategies and assessment tools can be implemented that allow both educators and students to reflect on their learning and adapt to emerging needs. Below are some recommendations on how to track these indicators:
For Teachers
Digital Portfolios: Encourage teachers to maintain a digital portfolio where they document their use of AI tools, lessons learned, and reflections on the impact of these technologies on their students’ learning. This may include sample activities, student projects, and self-assessments.
Class Observations and Feedback: Conduct regular class observations and provide specific feedback on the integration of AI into teaching. This can be complemented with pedagogical coaching sessions to discuss strategies and improvements.
Continuing Training and Workshops: Establish a continuing professional development program that includes workshops, online courses, and seminars on AI. Monitoring progress can be done through participation and implementation of new learning in the classroom.
Competency Assessments: Design specific assessments to measure mastery of AI competencies, based on the proposed monitoring indicators. This may include self-evaluations, peer evaluations, and reviews by educational administration.
For Students
Class Projects and Presentations: Use class projects and presentations as opportunities for students to demonstrate their understanding and application of AI. The evaluation of these projects can be based on established monitoring indicators, considering creativity, technical understanding, and critical reflection.
AI Learning Journals: Encourage students to maintain learning journals where they reflect on their experience with AI, including challenges faced, solutions found, and their perception of the impact of AI on society.
Evaluation Rubrics: Develop detailed rubrics that reflect the levels of competency expected at each educational stage. These rubrics can be used to evaluate both individual projects and group work, providing constructive feedback to students.
Self-assessments and Peer Assessments: Encourage self-assessment and peer assessment as part of the learning process. This not only helps students develop a greater awareness of their own abilities but also promotes responsibility and peer collaboration.
Technological Tools and Resources
To support the monitoring of these competencies, various technological tools and platforms can be used, such as learning management systems (LMS), electronic portfolios, and online assessment tools. These technologies facilitate the collection of evidence of learning, enable real-time feedback, and offer data analysis to inform pedagogical decision making.
Implementing an effective monitoring system requires commitment, time, and resources from both educators and the educational institution. However, by focusing on the progressive development of AI competencies, this approach prepares students for the challenges of the future and empowers teachers to be effective facilitators of education in the digital age.
