Introducción a la alfabetización en IA

Resumen

Educators learn to use AI, generative AI, and Microsoft tools to personalize learning, automate tasks, and provide insights for education.Upon completion of this module, you'll be able to:

Describe generative AI in the broader context of AI in terms of how these systems work and what they can do. Explain what a large language model (LLM) is and the basics of how it works.

Use generative and summative capabilities of LLMs (generate text, expand from main points, condense into main points, answer questions based on given text, etc.). Summarize potential impacts.

Explain how AI can be used to improve learning outcomes, reduce educator workload, and increase learner engagement. Explain how the use of AI can help make learning more accessible and inclusive.

ISTE Standards for Educators:

Educator - Designer Educator - Learner UNESCO Standards for Educators:

Application of Digital skills Organization and Administration Understanding ICT in Education UNESCO AI Competency Framework:

A human-centered mindset Ethics of AI AI foundations and applications AI pedagogy AI for professional development This module is designed to introduce educators to the powerful AI tools that Microsoft offers to educators and learners for free.Upon completion of this module, you'll be able to:

Use AI tools to streamline workflows and focus more on teaching Use AI tools to provide detailed feedback and personalized learning experiences Create engaging lesson plans and interactive lessons with the help of AI tools Use AI tools to improve coding skills Use AI tools to develop learners' future-ready skills ISTE Standards for Educators:

Educator - Designer Educator - Facilitator Leaders - Systems Designer UNESCO Standards for Educators:

Understanding ICT in Education UNESCO AI Competency Framework:

A human-centered mindset Ethics of AI AI foundations and applications AI pedagogy AI for professional development Educators learn to use AI responsibly by building accurate mental models and a simple reflection routine.Upon completion of this module, you'll be able to:

Document an AI-supported decision using a short, repeatable decision log. Analyze outcomes over time and identify one pattern that suggests an adjustment.

Select one adjustment that increases learning quality, integrity, privacy, or trust. Design a short explanation that communicates what the system did and what the educator decided.

Design simple explanations of AI use that keep responsibility visible for students, colleagues, and families. ISTE Standards for Educators:

Educator - Leader Educator - Learner Educator - Collaborator Educator - Designer Educator - Facilitator Leaders - Empowering Leader UNESCO Standards for Educators:

Application of digital skills Pedagogy Teacher professional learning UNESCO AI Competency Framework:

AI foundations and applications AI pedagogy AI for professional development

Programa

• Empoderar a los educadores para explorar el potencial de la inteligencia artificial Introducción a la IA Generativa Modelos de lenguaje extensos Utilizar eficazmente las capacidades de generación de imágenes impulsadas por IA IA en la educación Herramientas de IA para educadores y accesibilidad Evaluación del módulo Resumen
• Emprender tu viaje en IA con herramientas de IA gratuitas de Microsoft Education Introducción Llevar oportunidades a las escuelas con herramientas de IA Trabajar eficientemente con Microsoft 365 Copilot Chat Desbloquear el potencial completo de los estudiantes con Aceleradores de Aprendizaje Ahorrar tiempo con Microsoft Teams para Educación Construir alfabetización en IA y ciudadanía digital con Fundación de IA de Minecraft Education Maximizar el tiempo de preparación de clases con Khanmigo para Profesores Mejorar habilidades de programación con GitHub Copilot Comenzar con herramientas de IA en la escuela Evaluación del módulo Resumen
• Construir una práctica reflexiva de IA a lo largo del tiempo Introducción Cuando los resultados cambian con el tiempo Usar la reflexión para aprender de las decisiones de la IA Construir una práctica reflexiva de IA a lo largo del tiempo Compartir decisiones basadas en la reflexión Evaluación del módulo Resumen

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Materias

Artificial Intelligence