Hands-On Learning

Gain practical experience through hands-on projects and real-world applications.

Expert Guidance

Learn from industry experts with years of experience in Generative AI research.

Flexible Schedule

Study at your own pace with our online platform, allowing you to balance work and learning effectively.

About the Course

Our course AI for Feedback Literacy: Building Student and Staff Capacity is designed to help educators, students, and academic leaders strengthen their ability to give, receive, and use feedback effectively in an AI-augmented environment. Whether you are exploring feedback literacy for the first time or seeking to embed it into programme-wide strategies, this course offers practical tools, ethical guidance, and transformative insights. Join us to advance feedback as both a learning practice and a graduate attribute in the age of generative AI.

Meet Your Instructor

Jonathan Wong is the founder of CloudPedagogy, where he develops ethical, practical, and future-ready learning systems for Generative, Agentic, and emerging Quantum AI. Drawing on over 20 years of experience in higher education, research, and digital innovation, he specialises in applying AI to real-world contexts — from curriculum design and assessment reform to research acceleration and institutional strategy. His frameworks and courses help educators, researchers, and professionals build the confidence, capability, and critical insight needed to thrive across the evolving Continuum of Intelligence.

Curriculum

8 Chapters · 76 Lessons

  1. 1

    Introduction

    1. Welcome to the Course Free preview
    2. How This Course Works Free preview
    3. Legal Disclaimer & Terms of Use Free preview
    4. (Included in full purchase)

      Download: Universal AI Practice Workbook

  2. 2

    5.1 Understanding Feedback Literacy in Higher Education

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      5.1.1 Key components of feedback literacy

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      5.1.2 Student challenges in interpreting feedback

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      5.1.3 Staff practices that support development

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      5.1.4 Feedback as a dialogue, not a transmission

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      5.1.5 The role of trust, identity, and agency

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      1.1.6 Key Takeaways

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      1.1.A Practical Use Cases

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      1.1.B Learning Activities

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      1.1.C Prompt Templates

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      1.1.D Innovative Use Cases

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      1.1.E Reflection & Discussion

    12. (Included in full purchase)

      1.1.F Productivity Tips

    13. (Included in full purchase)

      1.1.G Prompt Library

    14. (Included in full purchase)

      1.1.H Applying the AI Capability Framework

  3. 3

    5.2 Using GenAI to Scaffold Student Feedback Skills

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      5.2.1 Interactive AI tools for decoding feedback

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      5.2.2 Simulating feedback scenarios for practice

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      5.2.3 Helping students rephrase and act on feedback

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      5.2.4 GenAI in peer feedback training modules

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      5.2.5 Using reflection prompts to deepen learning

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      5.2.6 Key Takeaways

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      5.2.A Practical Use Cases

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      5.2.B Learning Activities

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      5.2.C Prompt Templates

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      5.2.D Innovative Use Cases

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      5.2.E Reflection & Discussion

    12. (Included in full purchase)

      5.2.F Productivity Tips

    13. (Included in full purchase)

      5.2.G Prompt Library

    14. (Included in full purchase)

      5.2.H Applying the AI Capability Framework

  4. 4

    5.3 Supporting Staff in Feedback Practice Transformation

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      5.3.1 Shifting mindsets from grading to coaching

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      5.3.2 Using AI to model and generate good feedback

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      5.3.3 Providing fast but meaningful formative responses

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      5.3.4 Collaborative review of AI-generated comments

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      5.3.5 Training for ethical AI use in dialogue

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      5.3.6 Key Takeaways

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      5.3.A Practical Use Cases

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      5.3.B Learning Activities

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      5.3.C Prompt Templates

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      5.3.D Innovative Use Cases

    11. (Included in full purchase)

      5.3.E Reflection & Discussion

    12. (Included in full purchase)

      5.3.F Productivity Tips

    13. (Included in full purchase)

      5.3.G Prompt Library

    14. (Included in full purchase)

      5.3.H Applying the AI Capability Framework

  5. 5

    5.4 Embedding Feedback Literacy in Programmes and Modules

    1. (Included in full purchase)

      5.4.1 Feedback integration in curriculum design

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      5.4.2 Embedding formative checkpoints across modules

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      5.4.3 Syllabus signals and expectation setting

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      5.4.4 AI-supported portfolios and reflection tasks

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      5.4.5 Designing assessment-for-learning strategies

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      5.4.6 Key Takeaways

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      5.4.A Practical Use Cases

    8. (Included in full purchase)

      5.4.B Learning Activities

    9. (Included in full purchase)

      5.4.C Prompt Templates

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      5.4.D Innovative Use Cases

    11. (Included in full purchase)

      5.4.E Reflection & Discussion

    12. (Included in full purchase)

      5.4.F Productivity Tips

    13. (Included in full purchase)

      5.4.G Prompt Library

    14. (Included in full purchase)

      5.4.H Applying the AI Capability Framework

  6. 6

    5.5 Feedback Literacy as a Graduate Attribute

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      5.5.1 Mapping to institutional frameworks

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      5.5.2 Long-term value of feedback responsiveness

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      5.5.3 Building career-ready communicators

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      5.5.4 Feedback in collaborative and project work

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      5.5.5 Sustaining feedback capacity beyond graduation

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      5.5.6 Key Takeaways

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      5.5.A Practical Use Cases

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      5.5.B Learning Activities

    9. (Included in full purchase)

      5.5.C Prompt Templates

    10. (Included in full purchase)

      5.5.D Innovative Use Cases

    11. (Included in full purchase)

      5.5.E Reflection & Discussion

    12. (Included in full purchase)

      5.5.F Productivity Tips

    13. (Included in full purchase)

      5.5.G Prompt Library

    14. (Included in full purchase)

      5.5.H Applying the AI Capability Framework

  7. 7

    Final Lesson Message

    1. (Included in full purchase)

      Course Complete: Share Your Feedback

  8. 8

    Feedback

    1. (Included in full purchase)

      End of Course Survey

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