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

Designing Feedback for Learning with GenAI: Pedagogical Possibilities is carefully designed to equip educators and academic professionals with the knowledge and skills to create meaningful, future-ready feedback practices. Whether you are just beginning to explore AI in assessment or seeking to enhance established approaches, this course provides a comprehensive curriculum and practical insights to support effective, ethical, and innovative feedback design. Join us and reimagine feedback as a transformative learning tool that empowers students, strengthens pedagogy, and drives institutional innovation.

Meet Your Instructor

Jonathan Wong is the founder of CloudPedagogy and a digital education specialist with over 20 years of experience across higher education, research and digital innovation. His work focuses on turning emerging technologies into practical approaches to learning, analysis and knowledge creation. Through CloudPedagogy, he develops courses, open-source tools, interactive learning systems and applied projects exploring areas including generative and agentic AI, educational technology and digital learning design. His approach emphasises practical experimentation, transparency, critical judgement and responsible use of technology. CloudPedagogy is built around learning by understanding, building and applying: making complex ideas accessible while creating practical tools and workflows that demonstrate how they can be used in real-world contexts.

Curriculum

8 Chapters · 72 Lessons

    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

    1. 3.1.1 The educational value of feedback in HE Free preview
    2. 3.1.2 Generative feedback: key features and formats Free preview
    3. 3.1.3 How GenAI can amplify feedback literacy Free preview
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      3.1.4 Timing and frequency: optimising the loop

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      3.1.5 Feedback for learning versus feedback for grading

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      3.1.6 Key Takeaways

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      3.1.A Practical Use Cases

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      3.1.B Learning Activities

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      3.1.C Prompt Templates

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      3.1.D Innovative Use Cases

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      3.1.E Reflection & Discussion

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      3.1.F Productivity Tips

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      3.1.G Prompt Library

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      3.2.1 Customising tone and depth of AI feedback

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      3.2.2 Prompting for personalised formative responses

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      3.2.3 Feedforward comments and suggestions for growth

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      3.2.4 Language accessibility and multilingual feedback

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      3.2.5 Generating scaffolded feedback for different tasks

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      3.2.6 Key Takeaways

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      3.2.A Practical Use Cases

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      3.2.B Learning Activities

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      3.2.C Prompt Templates

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      3.2.D Innovative Use Cases

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      3.2.E Reflection & Discussion

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      3.2.F Productivity Tips

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      3.2.G Prompt Library

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      3.3.1 Blending AI-generated and educator-authored feedback

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      3.3.2 Feedback strategies in synchronous vs asynchronous settings

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      3.3.3 Embedding feedback in digital learning environments

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      3.3.4 Using AI to support feedback at scale

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      3.3.5 Feedback cycles and student reflection

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      3.3.6 Key Takeaways

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      3.3.A Practical Use Cases

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      3.3.B Learning Activities

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      3.3.C Prompt Templates

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      3.3.D Innovative Use Cases

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      3.3.E Reflection & Discussion

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      3.3.F Productivity Tips

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      3.3.G Prompt Library

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      3.4.1 AI as a scaffold for peer feedback activities

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      3.4.2 Calibrating peer feedback with AI insights

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      3.4.3 Self-assessment with AI prompts and reflection models

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      3.4.4 Building confidence in student-led evaluation

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      3.4.5 Reducing bias and improving equity in peer review

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      3.4.6 Key Takeaways

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      3.4.A Practical Use Cases

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      3.4.B Learning Activities

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      3.4.C Prompt Templates

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      3.4.D Innovative Use Cases

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      3.4.E Reflection & Discussion

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      3.4.F Productivity Tips

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      3.4.G Prompt Library

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      3.5.1 Embedding feedback in assessment policy

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      3.5.2 Staff development for AI-integrated feedback

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      3.5.3 Monitoring quality and consistency of AI feedback

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      3.5.4 Capturing student voice in feedback transformation

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      3.5.5 Long-term benefits of feedback innovation

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      3.5.6 Key Takeaways

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      3.5.A Practical Use Cases

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      3.5.B Learning Activities

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      3.5.C Prompt Templates

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      3.5.D Innovative Use Cases

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      3.5.E Reflection & Discussion

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      3.5.F Productivity Tips

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      3.5.G Prompt Library

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      3.5.H Applying the AI Capability Framework

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      Course Complete: Share Your Feedback

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      End of Course Survey

Unlock Your Genai Potential

Join our course today and unlock the full potential of Generative AI in your research projects. Empower yourself with the knowledge and skills to drive innovation and make a significant impact in your field.

£49.00

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