2024-10-07-UNESCO-面向学生的人工智能能力框架_80页_2mb

UNESCO AI Competency Framework for Students

Core Overview

• Purpose: Provide a global blueprint for integrating AI education into curricula, fostering responsible and creative AI users/creators.
• Key Principles: Human-centred approach, critical thinking, ethical AI use, inclusivity, lifelong learning.

Framework Structure

1. Four Aspects:

   • Human-centred Mindset
   • Ethics of AI
   • AI Techniques & Applications
   • AI System Design

2. Three Progression Levels:

   • Understand (foundational knowledge)
   • Apply (practical skills)
   • Create (co-creation of AI tools/systems)

3. 12 Competency Blocks (Across all aspects):

   • E.g., Human agency, AI ethics, data literacy, AI programming, system design.

Key Features

• Interdisciplinary & Spiral Learning: Integrates AI with STEM, arts, social sciences, and ethical dimensions.
• Age-Appropriate Sequencing: Tailored to cognitive and technical readiness.
• Global & Local Adaptation: Provides foundational guidance but requires context-specific implementation.
• Competency-Based Assessment: Focuses on measuring mastery levels through authentic tasks.

Implementation Guidance

1. Curriculum Design:

   • Align with national AI strategies while emphasizing ethics and inclusivity.
   • Use interdisciplinary approaches (e.g., integrating AI with math, coding, and social studies).

2. Learning Environments:

   • Ensure access to affordable AI tools/software, hybrid online/offline platforms, and ethical guidelines.
   • Foster teacher professionalization programs for AI literacy.

3. Policy Considerations:

   • Develop regulations governing AI use in education.
   • Support lifelong learning through open-source AI resources and community-based projects.

Goals

• Equip students to become responsible citizens and active co-creators of AI.
• Promote inclusive, sustainable, and human-centred AI development aligned with the Sustainable Development Goals.