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

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

8 Chapters · 75 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
  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

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      1.1.F Productivity Tips

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      1.1.G Prompt Library

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      1.1.H Applying the GenAI 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

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      5.2.F Productivity Tips

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      5.2.G Prompt Library

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      5.2.H Applying the GenAI 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

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      5.3.E Reflection & Discussion

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      5.3.F Productivity Tips

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      5.3.G Prompt Library

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      5.3.H Applying the GenAI Framework

  5. 5

    5.4 Embedding Feedback Literacy in Programmes and Modules

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      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

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      5.4.B Learning Activities

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      5.4.C Prompt Templates

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      5.4.D Innovative Use Cases

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      5.4.E Reflection & Discussion

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      5.4.F Productivity Tips

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      5.4.G Prompt Library

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      5.4.H Applying the GenAI 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

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      5.5.C Prompt Templates

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      5.5.D Innovative Use Cases

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      5.5.E Reflection & Discussion

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      5.5.F Productivity Tips

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      5.5.G Prompt Library

    14. (Included in full purchase)

      5.5.H Applying the GenAI Framework

  7. 7

    Final Lesson Message

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      Course Complete: Share Your Feedback

  8. 8

    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.

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