• AI & Pedagogy – Level 1: Foundations

    • Duration: 2 days (14 hours)
    • Audience: Teachers, pedagogical leaders
    • Objectives: Understand AI’s role in education, build foundational digital skills, and identify opportunities for AI integration in the classroom.
    • Content:
      • Introduction to generative AI and large language models
      • Pedagogical use cases: automated grading, content generation, adaptive learning
      • Ethical considerations: GDPR compliance, bias mitigation, transparency
      • Hands-on with tools: demo sessions, guided exercises, and feedback
      • Group discussions and case studies on AI adoption in education
    • Assessment: Short quizzes and a reflective practice journal
  • AI & Pedagogy – Level 2: Mastery

    • Duration: 5 days (35 hours)
    • Audience: Experienced educators
    • Objectives: Integrate AI into teaching practices, design AI-enhanced learning activities, and evaluate the impact of AI tools on student outcomes.
    • Content:
      • Designing AI-enhanced learning pathways and personalized assignments
      • Advanced use of assessment tools: configuring rubrics, interpreting analytics
      • Personalizing learning with data-driven insights and adaptive content
      • Impact measurement via dashboards and learning analytics
      • Collaborative workshops: peer review, scenario-based design, and troubleshooting
    • Assessment: Project-based assignment and peer feedback
  • Expert AI Pedagogy Certification

    • Duration: 10 days over 3 months
    • Audience: Trainers, instructional engineers, digital learning specialists
    • Objectives: Lead AI integration at the institutional level, mentor peers, and contribute to the development of new AI-driven pedagogical strategies.
    • Content:
      • Advanced AI concepts: explainability, model fine-tuning, and ethical leadership
      • Change management and digital transformation in education
      • Designing and piloting innovative AI-based projects
      • Mentoring and coaching for digital adoption
      • Participation in a community of practice and knowledge sharing
    • Validation: Practical project, oral defense, and portfolio review
    • Recognition: IONIS-certified, with opportunities for ongoing collaboration and contribution to CEPIA’s research and development initiatives