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 Future Ethics: GenAI, Academic Integrity, and the Next Decade course is designed for educators, policy makers, and academic leaders who want to future-proof their integrity strategies in an AI-enabled world. You will examine emerging risks, shifting definitions of misconduct, and the balance between deterrence, trust, and innovation. Combining ethical theory, institutional policy insights, and scenario-based exercises, this course helps you critically evaluate how generative AI will challenge academic norms over the next decade. You will leave with practical frameworks for safeguarding equity and integrity, while also recognising opportunities to redesign assessments and feedback in ways that embrace AI responsibly.

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

    10.1 Anticipating the Next Generation of AI Tools

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      10.1.1 What Happens When Students Use Multimodal AI?

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      10.1.2 Preparing for Agent-Based Learning Systems

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      10.1.3 AI as Research Collaborator — Implications for Study

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      10.1.4 Ethics of AI Feedback Loops in Learning Platforms

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      10.1.5 Planning for Rapid Technological Shifts in Integrity Practice

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      10.1.6 Key Takeaways

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      10.1.A Practical Use Cases

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      10.1.B Learning Activities

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      10.1.C Prompt Templates

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      10.1.D Innovative Use Cases

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      10.1.E Reflection & Discussion

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      10.1.F Productivity Tips

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      10.1.G Prompt Library

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      10.1.H Applying the AI Capability Framework

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    10.2 Designing Flexible and Agile Integrity Strategies

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      10.2.1 Moving from Static Policies to Adaptable Frameworks

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      10.2.2 Integrating Foresight Thinking into HE Planning

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      10.2.3 Scenario Planning for AI Disruption

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      10.2.4 Using Environmental Scanning to Update Guidance

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      10.2.5 Agility in Professional Development and Training

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      10.2.6 Key Takeaways

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      10.2.A Practical Use Cases

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      10.2.B Learning Activities

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      10.2.C Prompt Templates

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      10.2.D Innovative Use Cases

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      10.2.E Reflection & Discussion

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      10.2.F Productivity Tips

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      10.2.G Prompt Library

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      10.2.H Applying the AI Capability Framework

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    10.3 Rethinking Pedagogy and Assessment Models

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      10.3.1 Designing for Meaningful AI Use, Not Avoidance

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      10.3.2 Ethics in Prompt Engineering and Task Design

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      10.3.3 Collaborative, Creative, and Open Assessment Models

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      10.3.4 Critical Thinking in AI-Centric Assignments

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      10.3.5 Assessment for Meta-Learning and AI Reflection

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      10.3.6 Key Takeaways

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      10.3.A Practical Use Cases

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      10.3.B Learning Activities

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      10.3.C Prompt Templates

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      10.3.D Innovative Use Cases

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      10.3.E Reflection & Discussion

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      10.3.F Productivity Tips

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      10.3.G Prompt Library

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      10.3.H Applying the AI Capability Framework

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    10.4 Academic Integrity as a Social Justice Issue

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      10.4.1 Equity of Access to AI Tools and Guidance

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      10.4.2 Disproportionate Surveillance and Academic Freedom

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      10.4.3 Supporting Marginalised Students in the AI Landscape

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      10.4.4 Addressing Algorithmic Bias in Integrity Policies

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      10.4.5 Designing Inclusive Integrity Cultures

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      10.4.6 Key Takeaways

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      10.4.A Practical Use Cases

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      10.4.B Learning Activities

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      10.4.C Prompt Templates

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      10.4.D Innovative Use Cases

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      10.4.E Reflection & Discussion

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      10.4.F Productivity Tips

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      10.4.G Prompt Library

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      10.4.H Applying the AI Capability Framework

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    10.5 Ethics Beyond Academia

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      10.5.1 Transferable Integrity for AI Use in the Workplace

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      10.5.2 Teaching Students to Evaluate Real-World AI Ethics

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      10.5.3 Embedding GenAI Responsibility in Graduate Employability

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      10.5.4 Developing AI-Conscious Professional Identity

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      10.5.5 Higher Education as a Steward of AI-Ethical Citizenship

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      10.5.6 Key Takeaways

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      10.5.A Practical Use Cases

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      10.5.B Learning Activities

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      10.5.C Prompt Templates

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      10.5.D Innovative Use Cases

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      10.5.E Reflection & Discussion

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      10.5.F Productivity Tips

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      10.5.G Prompt Library

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      10.5.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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