AI-Ready Education: Practical, Clear, and Learner-Tested Approaches

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Welcome

This programme equips educators and training contributors with practical, evidence-informed strategies to support effective teaching and assessment in learning environments where AI is present. Participants learn how to develop clear AI-use policy statements, adjust assignments and assessments to maintain transparency, and apply instructional design approaches that preserve learner thinking and fairness. Through structured lessons, realistic examples, and guided reflection, the programme emphasizes practical application rather than theoretical discussion alone. Upon successful completion, participants demonstrate foundational competency in AI-aware learning design and readiness to implement these principles in professional education and training contexts.

Click here to download the full training description: AI-Ready Education_Training Description_AM Academy.pdf

Registration

Course program

  • Goals
    Course goals
    1. Understand foundational concepts and terminology for AI-aware education.
    2. Recognize how AI is already present in everyday educational contexts.
    3. Identify common challenges and points of friction that AI introduces in learning environments.
    4. Explore the value of making small, clear adjustments rather than large-scale changes.
    5. Understand the purpose of AI-use policy statements.
    6. Apply criteria to distinguish effective from ineffective AI-use policy features.
    7. Analyse examples of strong and weak policy statements.
    8. Draft your own classroom-ready AI-use statement.
    9. Identify assignments and assessments that need AI-related adjustments.
    10. Map practical, small adjustments that make learner thinking more visible.
    11. Analyse concrete examples of effective assignment and assessment adjustments.
    12. Revise an assignment element to better surface understanding when AI is present.
    13. Analyse research-based examples of evolving AI integration.
    14. Evaluate AI adaptation options to choose effective assignment and assessment adjustments.
    15. Adapt ideas to your own teaching context to develop strategies that work best in your educational context.
  • Module 1 - Online   (390 Min)
    AI-Ready Education: Practical, Clear, and Learner-Tested Approaches

    1 Scorm

    This course supports educators who want clear, realistic ways to support learning effectively in a world where AI is already present. Rather than focusing on tools, detection, or sweeping bans, the course centres on small, thoughtful adjustments that protect learning, fairness, and transparency.


    You’ll learn how to write a clear, usable AI-use policy, make targeted assignment and assessment adjustments that keep learner thinking visible, and apply practical examples drawn from real teaching and learning contexts. Throughout the course, the focus is on judgment, explanation, and learning design, rather than enforcement or monitoring strategies.


    The course is structured across five lessons and takes approximately 6.5 hours to complete, depending on pace and depth of engagement. An accompanying workbook runs alongside the course, helping you translate ideas into action as you go. It provides prompts, examples, and space to adapt course concepts to your own educational content and context, so you are actively thinking about how you will use the strategies you learn.


    The course includes a final knowledge assessment, which checks understanding of the core concepts introduced across the lessons. Successful completion of the assessment confirms that you have met the course’s foundational knowledge and reasoning expectations.


    By the end of the course, you’ll leave with a concrete, workable plan you can apply immediately, along with shared language and strategies that reduce confusion, lower workload, and support confident, transparent teaching in AI-present learning environments. Upon successful completion, you will be issued a Certificate of Foundational Competency in AI-Ready Education, confirming your demonstrated understanding of AI-aware learning design and assessment principles.


    For the EU Raw & Advanced Materials Academies, this course contributes to a shared approach for addressing skills development in a rapidly changing technological landscape. It supports consistent, high-quality learning design across Academy-aligned training while remaining adaptable to different sectors, roles, and learning contexts within Europe’s raw and advanced materials ecosystems. The Academies and their support teams are available to assist training contributors and learners with questions related to interpretation, application, and practical implementation of the strategies introduced in this course.


    AI-Use Policy Statement: AI tools may be used throughout this course as part of your learning process. You may use them to explore ideas, outline possibilities, test interpretations, or refine language. However, this course is designed to strengthen your investigative and critical thinking. If AI is used to complete assessments or generate final responses on your behalf, it may undermine your own learning and weaken the purpose of the evaluation. Final submissions are intended to demonstrate your understanding, judgment, and reasoning. Use AI to support your thinking, not to replace it, and ensure that your final work demonstrates your own understanding.

  • 390 minutes (E-learning)
  • MOBILE ACCESS
  • 1 MODULES

CREATORS

AO

Alison Opalko