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

This course explores how generative AI can support continuous curriculum improvement across review, mapping, and quality assurance workflows. You’ll learn how to visualise programme coherence, audit for equity and relevance, engage stakeholders with AI-powered tools, and build responsive QA systems that align with strategic goals. Through practical examples and guided exercises, you’ll gain confidence in embedding GenAI responsibly into curriculum evaluation and governance.

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. Download: Universal AI Practice Workbook Free preview
  2. 2

    7.1 Foundations of Curriculum Review in Higher Education

    1. (Included in full purchase)

      7.1.1 Understanding QA Cycles and Curriculum Review Principles

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      7.1.2 Common Gaps and Risks in Programme-Level Review

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      7.1.3 Role of AI in Supporting Evidence-Informed Review Processes

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      7.1.4 Aligning Internal QA with External Accreditation Bodies

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      7.1.5 Building AI-Aware Review Frameworks for HE Institutions

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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 GenAI Tools for Curriculum Mapping and Visualisation

    1. (Included in full purchase)

      7.2.1 Building Dynamic Curriculum Maps Using Generative Tools

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      7.2.2 Mapping Programme Outcomes to Graduate Attributes with AI

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      7.2.3 Identifying Skill Redundancies and Gaps Across Modules

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      7.2.4 Visualising Curriculum Alignment with Strategic Goals

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      7.2.5 Using GenAI to Generate QA Documentation and Narratives

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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

    11. (Included in full purchase)

      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 Auditing for Inclusivity, Innovation, and Relevance

    1. (Included in full purchase)

      7.3.1 Using AI to Analyse Representation and Accessibility in Curriculum

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      7.3.2 Identifying Outdated or Unaligned Content with GenAI

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      7.3.3 Generative Reviews of Assessment Variety and Rigour

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      7.3.4 Student Feedback Integration and Analysis Using AI

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      7.3.5 Auditing Curricula for Innovation Readiness and Responsiveness

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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

    9. (Included in full purchase)

      7.3.C Prompt Templates

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      7.3.D Innovative Use Cases

    11. (Included in full purchase)

      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 Stakeholder Engagement in AI-Enhanced QA Processes

    1. (Included in full purchase)

      7.4.1 AI Support for Curriculum Committees and Peer Review Panels

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      7.4.2 Capturing Cross-Departmental Insights Through GenAI Summaries

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      7.4.3 Integrating Employer and Industry Feedback with AI Tools

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      7.4.4 Facilitating Evidence-Based Discussion Using AI-Generated Reports

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      7.4.5 Building Transparent, Collaborative QA Workflows with AI

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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

    10. (Included in full purchase)

      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 Towards Continuous, Responsive Curriculum Quality

    1. (Included in full purchase)

      7.5.1 Building Dashboards for Curriculum Performance Monitoring

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      7.5.2 Moving from Periodic Review to Continuous Improvement with AI

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      7.5.3 Creating Institutional Memory Through AI-Enabled Logs

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      7.5.4 AI Support for Comparative Benchmarking Across Programmes

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      7.5.5 From QA to Curriculum Foresight: Strategic Futures Thinking

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      7.5.6 Key Takeaways

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      7.5.A Practical Use Cases

    8. (Included in full purchase)

      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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