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

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

    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

    12. (Included in full purchase)

      7.1.F Productivity Tips

    13. (Included in full purchase)

      7.1.G Prompt Library

    14. (Included in full purchase)

      7.1.H Applying the AI Capability 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

    12. (Included in full purchase)

      7.2.F Productivity Tips

    13. (Included in full purchase)

      7.2.G Prompt Library

    14. (Included in full purchase)

      7.2.H Applying the AI Capability 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

    12. (Included in full purchase)

      7.3.F Productivity Tips

    13. (Included in full purchase)

      7.3.G Prompt Library

    14. (Included in full purchase)

      7.3.H Applying the AI Capability Framework

  5. 5

    7.4 Integrating GenAI into Real-World Assessment Tasks

    1. (Included in full purchase)

      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

    11. (Included in full purchase)

      7.4.E Reflection & Discussion

    12. (Included in full purchase)

      7.4.F Productivity Tips

    13. (Included in full purchase)

      7.4.G Prompt Library

    14. (Included in full purchase)

      7.4.H Applying the AI Capability 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

    9. (Included in full purchase)

      7.5.C Prompt Templates

    10. (Included in full purchase)

      7.5.D Innovative Use Cases

    11. (Included in full purchase)

      7.5.E Reflection & Discussion

    12. (Included in full purchase)

      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 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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