
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
I'm Jonathan Wong, a Lead AI Scientist and researcher specialising in medical diagnostics, data science, and advanced research technologies. My work focuses on applying generative AI and machine learning to improve healthcare outcomes and support complex research workflows. In this course, I share practical tools, ethical strategies, and real-world insights developed through applied experience in research and development. Whether you're just beginning or looking to deepen your skills, you'll find structured guidance to help you use AI effectively, creatively, and responsibly in your research practice.
Curriculum
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1
Introduction
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2
3.1 Feedback as a Learning Tool
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3.1.1 The educational value of feedback in HE
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3.1.2 Generative feedback: key features and formats
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3.1.3 How GenAI can amplify feedback literacy
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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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3.1.H Applying the GenAI Framework
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3
3.2 AI-Enabled Feedback Generation
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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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3.2.H Applying the GenAI Framework
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3.3 Designing Feedback Workflows in Teaching Practice
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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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3.3.H Applying the GenAI Framework
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3.4 Supporting Peer and Self-Assessment with AI
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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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3.4.H Applying the GenAI Framework
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6
3.5 Institutional Strategy for Feedback Innovation
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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 GenAI Framework
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7
Final Lesson Message
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Course Complete: Share Your Feedback
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8
Feedback
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End of Course Survey
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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.
£97.00