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 on Assessment Redesign for Active and Experiential Learning is designed to help educators, curriculum leaders, and academic teams reimagine assessment in the AI era. Whether you are seeking to safeguard academic integrity, integrate generative AI into authentic tasks, or scale new assessment modes across your institution, this course provides both strategic insights and practical workflows. 

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

    7.1 Assessment for Active Learning in the AI Era

    1. (Included in full purchase)

      7.1.1 Moving beyond traditional exams and essays

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      7.1.2 The role of performance and project-based tasks

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      7.1.3 Using AI to support authentic assessment

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      7.1.4 Reflective practice and experiential learning

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      7.1.5 Aligning active learning with GenAI tools

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      7.1.6 Key Takeaways

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      7.1.A Practical Use Cases

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      7.1.B Learning Activities

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      7.1.C Prompt Templates

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      7.1.D Innovative Use Cases

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      7.1.E Reflection & Discussion

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      7.1.F Productivity Tips

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      7.1.G Prompt Library

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      7.1.H Applying the GenAI Framework

  3. 3

    7.2 Designing AI-Resilient Assessments

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      7.2.1 Understanding risks of AI misuse by students

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      7.2.2 Promoting integrity through assessment design

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      7.2.3 GenAI as collaborator, not shortcut

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      7.2.4 Open-book and process-based approaches

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      7.2.5 Detecting and deterring inauthentic work

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      7.2.6 Key Takeaways

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      7.2.A Practical Use Cases

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      7.2.B Learning Activities

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      7.2.C Prompt Templates

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      7.2.D Innovative Use Cases

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      7.2.E Reflection & Discussion

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      7.2.F Productivity Tips

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      7.2.G Prompt Library

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      7.2.H Applying the GenAI Framework

  4. 4

    7.3 Supporting Students in New Assessment Modes

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      7.3.1 Scaffolding task expectations and formats

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      7.3.2 Giving formative support through AI

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      7.3.3 Student agency and voice in task design

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      7.3.4 Managing anxiety in creative and open-ended tasks

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      7.3.5 Reflecting on GenAI use in learner outputs

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      7.3.6 Key Takeaways

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      7.3.A Practical Use Cases

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      7.3.B Learning Activities

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      7.3.C Prompt Templates

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      7.3.D Innovative Use Cases

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      7.3.E Reflection & Discussion

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      7.3.F Productivity Tips

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      7.3.G Prompt Library

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      7.3.H Applying the GenAI Framework

  5. 5

    7.4 Integrating GenAI into Real-World Assessment Tasks

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      7.4.1 Role-play, simulation, and scenario-based assessments

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      7.4.2 Using GenAI to generate case materials

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      7.4.3 Collaborative group work and AI facilitation

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      7.4.4 Embedding AI tools in capstone and portfolio tasks

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      7.4.5 Authentic workplace-linked assessment scenarios

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      7.4.6 Key Takeaways

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      7.4.A Practical Use Cases

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      7.4.B Learning Activities

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      7.4.C Prompt Templates

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      7.4.D Innovative Use Cases

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      7.4.E Reflection & Discussion

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      7.4.F Productivity Tips

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      7.4.G Prompt Library

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      7.4.H Applying the GenAI Framework

  6. 6

    7.5 Institutional Scaling and Strategy

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      7.5.1 Supporting programme-level transformation

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      7.5.2 Policy support for experiential assessment

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      7.5.3 Upskilling staff for new assessment paradigms

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      7.5.4 Evaluating impact and innovation

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      7.5.5 Sustaining change through communities of practice

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      7.5.6 Key Takeaways

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      7.5.A Practical Use Cases

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      7.5.B Learning Activities

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      7.5.C Prompt Templates

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      7.5.D Innovative Use Cases

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      7.5.E Reflection & Discussion

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      7.5.F Productivity Tips

    13. (Included in full purchase)

      7.5.G Prompt Library

    14. (Included in full purchase)

      7.5.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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