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About the Course

Our Institutional Frameworks for Managing AI-Related Misconduct course equips academic leaders, quality assurance teams, and educators with the tools needed to navigate emerging risks in the AI era. As generative AI reshapes student practice, institutions must balance deterrence with support, uphold integrity without eroding trust, and design processes that are both ethical and enforceable. This course explores governance frameworks, case-handling workflows, staff training, and student-facing communication strategies. It highlights how institutions can move beyond punitive responses to create transparent, equitable, and future-ready approaches. Through scenario-based exercises and applied policy models, you will develop strategies that protect academic standards while enabling responsible AI use.

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 · 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

    4.1 Understanding New Forms of Misconduct

    1. (Included in full purchase)

      4.1.1 How AI Changes the Boundaries of Academic Cheating

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      4.1.2 The Rise of AI Ghostwriting and Auto-Generated Content

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      4.1.3 Misrepresentation and Unauthorised Use of AI Tools

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      4.1.4 Emerging Tactics in AI-Facilitated Collusion

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      4.1.5 Preventive vs. Reactive Approaches to AI Abuse

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      4.1.6 Key Takeaways

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      4.1.A Practical Use Cases

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      4.1.B Learning Activities

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      4.1.C Prompt Templates

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      4.1.D Innovative Use Cases

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      4.1.E Reflection & Discussion

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      4.1.F Productivity Tips

    13. (Included in full purchase)

      4.1.G Prompt Library

    14. (Included in full purchase)

      4.1.H Applying the AI Capability Framework

  3. 3

    4.2 Building Clear Misconduct Policies

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      4.2.1 Policy Language That Reflects AI Complexity

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      4.2.2 Integrating AI Guidelines into Academic Regulations

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      4.2.3 Adapting Misconduct Reporting Procedures

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      4.2.4 Transparency and Disclosure Requirements

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      4.2.5 Policy Templates and Faculty Training Models

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      4.2.6 Key Takeaways

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      4.2.A Practical Use Cases

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      4.2.B Learning Activities

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      4.2.C Prompt Templates

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      4.2.D Innovative Use Cases

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      4.2.E Reflection & Discussion

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      4.2.F Productivity Tips

    13. (Included in full purchase)

      4.2.G Prompt Library

    14. (Included in full purchase)

      4.2.H Applying the AI Capability Framework

  4. 4

    4.3 Ensuring Fair and Ethical Disciplinary Processes

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      4.3.1 Risk of Bias in AI Misconduct Accusations

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      4.3.2 Procedural Fairness in AI-Affected Cases

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      4.3.3 Balancing Sanctions with Learning Opportunities

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      4.3.4 Using AI to Support Due Process, Not Replace It

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      4.3.5 Ethical Considerations in Staff AI Monitoring

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      4.3.6 Key Takeaways

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      4.3.A Practical Use Cases

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      4.3.B Learning Activities

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      4.3.C Prompt Templates

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      4.3.D Innovative Use Cases

    11. (Included in full purchase)

      4.3.E Reflection & Discussion

    12. (Included in full purchase)

      4.3.F Productivity Tips

    13. (Included in full purchase)

      4.3.G Prompt Library

    14. (Included in full purchase)

      4.3.H Applying the AI Capability Framework

  5. 5

    4.4 Preventative Education and Community Building

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      4.4.1 Campaigning for Integrity: Beyond Punishment

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      4.4.2 Co-Designing Preventative Tools with Students

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      4.4.3 Faculty-Led Discussion Forums on GenAI Integrity

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      4.4.4 Interdisciplinary Dialogue on Misconduct Risk

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      4.4.5 Building a Culture of Care and Academic Honour

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      4.4.6 Key Takeaways

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      4.4.A Practical Use Cases

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      4.4.B Learning Activities

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      4.4.C Prompt Templates

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      4.4.D Innovative Use Cases

    11. (Included in full purchase)

      4.4.E Reflection & Discussion

    12. (Included in full purchase)

      4.4.F Productivity Tips

    13. (Included in full purchase)

      4.4.G Prompt Library

    14. (Included in full purchase)

      4.4.H Applying the AI Capability Framework

  6. 6

    4.5 Cross-Institutional and Legal Considerations

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      4.5.1 National Guidelines and Sector-Wide Standards

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      4.5.2 Legal Considerations in GenAI Misconduct Cases

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      4.5.3 International Perspectives on AI-Affected Misconduct

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      4.5.4 HEI Collaboration on AI Integrity Frameworks

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      4.5.5 Staying Agile as Technology Outpaces Policy

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      4.5.6 Key Takeaways

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      4.5.A Practical Use Cases

    8. (Included in full purchase)

      4.5.B Learning Activities

    9. (Included in full purchase)

      4.5.C Prompt Templates

    10. (Included in full purchase)

      4.5.D Innovative Use Cases

    11. (Included in full purchase)

      4.5.E Reflection & Discussion

    12. (Included in full purchase)

      4.5.F Productivity Tips

    13. (Included in full purchase)

      4.5.G Prompt Library

    14. (Included in full purchase)

      4.5.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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