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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 and a digital education specialist with over 20 years of experience across higher education, research and digital innovation. His work focuses on turning emerging technologies into practical approaches to learning, analysis and knowledge creation. Through CloudPedagogy, he develops courses, open-source tools, interactive learning systems and applied projects exploring areas including generative and agentic AI, educational technology and digital learning design. His approach emphasises practical experimentation, transparency, critical judgement and responsible use of technology. CloudPedagogy is built around learning by understanding, building and applying: making complex ideas accessible while creating practical tools and workflows that demonstrate how they can be used in real-world contexts.

Curriculum

8 Chapters · 71 Lessons

    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

    1. 4.1.1 How AI Changes the Boundaries of Academic Cheating Free preview
    2. 4.1.2 The Rise of AI Ghostwriting and Auto-Generated Content Free preview
    3. 4.1.3 Misrepresentation and Unauthorised Use of AI Tools Free preview
    4. (Included in full purchase)

      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

    1. (Included in full purchase)

      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

    11. (Included in full purchase)

      4.2.E Reflection & Discussion

    12. (Included in full purchase)

      4.2.F Productivity Tips

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      4.2.G Prompt Library

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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

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      4.3.E Reflection & Discussion

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      4.3.F Productivity Tips

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      4.3.G Prompt Library

    1. (Included in full purchase)

      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

    10. (Included in full purchase)

      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

    1. (Included in full purchase)

      4.5.1 National Guidelines and Sector-Wide Standards

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      4.5.2 Legal Considerations in GenAI Misconduct Cases

    3. (Included in full purchase)

      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

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      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

    1. (Included in full purchase)

      Course Complete: Share Your Feedback

    1. (Included in full purchase)

      End of Course Survey

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