Hands-On Learning

Gain practical experience through hands-on projects and real-world applications.

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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, 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

    1.1 Understanding Integrity in a Digital Age

    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
  3. 3

    1.2 Ethical Use of AI by Students

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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

  4. 4

    1.3 Institutional Policy and Practice

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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 Student Partnerships and Co-Design

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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 Teaching Academic Integrity in the GenAI Era

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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

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      1.5.F Productivity Tips

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      1.5.G Prompt Library

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      1.5.H Applying the AI Capability Framework

  7. 7

    Final Lesson Message

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      Course Complete: Share Your Feedback

  8. 8

    Feedback

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      End of Course Survey

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