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 Reframing Academic Integrity in the Age of GenAI course is designed to equip educators, academic developers, and institutional leaders with the knowledge and strategies needed to uphold integrity in a rapidly changing landscape. The rise of generative AI challenges long-standing assumptions about originality, authorship, and fairness in student work. This course helps you rethink integrity frameworks, design AI-resilient assessments, and develop transparent communication strategies with students. You will also explore governance models, equity considerations, and emerging approaches to support ethical engagement with AI. By the end, you will be prepared to foster a culture of trust, responsibility, and innovation that sustains integrity in the AI age.

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 · 76 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. 1.1.1 Shifting Definitions of Academic Integrity in GenAI-Enriched Learning Free preview
    2. 1.1.2 Historical Perspectives vs. Emerging Norms Free preview
    3. 1.1.3 Trust, Transparency, and Technology in Student Work Free preview
    4. 1.1.4 Evaluating Integrity in AI-Augmented Outputs Free preview
    5. 1.1.5 Redesigning Academic Culture for AI Co-authorship Free preview
    6. 1.1.6 Key Takeaways Free preview
    7. 1.1.A Practical Use Cases Free preview
    8. 1.1.B Learning Activities Free preview
    9. 1.1.C Prompt Templates Free preview
    10. 1.1.D Innovative Use Cases Free preview
    11. 1.1.E Reflection & Discussion Free preview
    12. 1.1.F Productivity Tips Free preview
    13. 1.1.G Prompt Library Free preview
    14. 1.1.H Applying the AI Capability Framework Free preview

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      1.2.1 When Is AI Use Helpful vs. Harmful in Student Assignments?

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      1.2.2 Understanding Disclosure: What Should Be Declared?

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      1.2.3 Distinguishing Between Assistance, Misconduct, and Cheating

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      1.2.4 Encouraging Responsible Experimentation with AI Tools

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      1.2.5 Supporting Informed Consent and Autonomy in Tool Use

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      1.2.6 Key Takeaways

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      1.2.A Practical Use Cases

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      1.2.B Learning Activities

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      1.2.C Prompt Templates

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      1.2.D Innovative Use Cases

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      1.2.E Reflection & Discussion

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      1.2.F Productivity Tips

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      1.2.G Prompt Library

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      1.2.H Applying the AI Capability Framework

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      1.3.1 How HEIs Are Redefining Misconduct in the AI Era

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      1.3.2 Integrating GenAI Policies with Existing Academic Codes

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      1.3.3 Transparent Governance for AI-Influenced Assessments

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      1.3.4 Creating Consistency Across Faculties and Programmes

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      1.3.5 Lessons from Early Institutional Responses

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      1.3.6 Key Takeaways

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      1.3.A Practical Use Cases

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      1.3.B Learning Activities

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      1.3.C Prompt Templates

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      1.3.D Innovative Use Cases

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      1.3.E Reflection & Discussion

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      1.3.F Productivity Tips

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      1.3.G Prompt Library

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      1.3.H Applying the AI Capability Framework

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      1.4.1 Including Students in GenAI Policy Conversations

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      1.4.2 Building Peer Integrity Ambassadors for GenAI-Era Learning

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      1.4.3 Designing Workshops with Students on AI Use Boundaries

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      1.4.4 Co-Writing AI Use Pledges and Agreements

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      1.4.5 Ethics as Dialogue, Not Directive

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      1.4.6 Key Takeaways

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      1.4.A Practical Use Cases

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      1.4.B Learning Activities

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      1.4.C Prompt Templates

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      1.4.D Innovative Use Cases

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      1.4.E Reflection & Discussion

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      1.4.F Productivity Tips

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      1.4.G Prompt Library

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      1.4.H Applying the AI Capability Framework

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      1.5.1 Beyond Plagiarism: Teaching Intellectual Responsibility

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      1.5.2 Scaffolding AI-Literate Critical Thinking

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      1.5.3 Designing Ethics-Based Assessments

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      1.5.4 Facilitating Reflective Practice on AI Tool Use

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      1.5.5 Using Case-Based Learning to Explore Ethical Dilemmas

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      1.5.6 Key Takeaways

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      1.5.A Practical Use Cases

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      1.5.B Learning Activities

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      1.5.C Prompt Templates

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      1.5.D Innovative Use Cases

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      1.5.E Reflection & Discussion

    12. (Included in full purchase)

      1.5.F Productivity Tips

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      1.5.G Prompt Library

    14. (Included in full purchase)

      1.5.H Applying the AI Capability Framework

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      Course Complete: Share Your Feedback

    1. (Included in full purchase)

      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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