Hands-On Learning

Simulate real-world teaching and institutional scenarios with guided AI prompts, case studies and interactive activities.

Education-Focused Insights

Explore best practices and real examples of AI integration in pedagogy, curriculum design and student support.

Flexible, Self-Paced Learning

Work through structured, on-demand modules at your own pace, with resources tailored to your teaching and leadership goals.

About the Course

Develop robust academic integrity frameworks tailored for the AI age. Explore AI capabilities and student use scenarios, define and communicate clear AI-use policies, and examine tools for detecting AI-generated work along with their limitations. Learn to design assessments that deter misuse while fostering genuine learning, and cultivate a culture of trust and integrity within your institution. Equip yourself with the strategies and insights needed to uphold rigorous academic standards in an era of rapid AI advancement.

Meet Your Instructor

I'm Jonathan Wong, Founder of CloudPedagogy, Lead AI Educator, and research and innovation strategist with over 20 years in higher education and research, specialising in data science, AI, and advanced cloud technologies. My work focuses on applying generative AI to enhance teaching, research, and institutional operations, build intelligent AI systems, and advance ethical AI governance. In this course, I share practical frameworks, hands-on tools, and sector-specific examples developed through applied work in higher education and research. Whether you're starting your AI journey or aiming to deepen your expertise, you'll gain the skills and strategies to apply AI effectively, creatively, and responsibly in your professional context.

Curriculum

9 Chapters · 66 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

    5.1 Understanding AI Capabilities and Student Use Scenarios

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      5.1.1 Mapping Common and Emerging Student Use Cases

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      5.1.2 Building Co-Authored AI Usage Guides Across Disciplines

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      5.1.3 Normalising Transparency Through Reflective AI Use Statements

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      5.1.4 Interactive AI Scenarios and Misconduct Simulations

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      5.1.5 Ethics Portfolios and the Development of AI Literacy Over Time

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      5.1.6 Key Takeaways

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      5.1.A Practical Use Cases

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      5.1.B Learning Activities

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      5.1.C Prompt Templates

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      5.1.D Innovative Use Cases

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      5.1.E Reflection & Discussion

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      5.1.F Productivity Tips

  3. 3

    5.2 Defining and Communicating AI Use Policies

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      5.2.1 Co-Designing Institutional AI Policies with Multistakeholder Input

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      5.2.2 Translating Policy into Multimodal and Accessible Communication

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      5.2.3 Localising AI Guidance for Discipline-Specific Contexts

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      5.2.4 Simulating Student Journeys to Test Policy Clarity and Fairness

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      5.2.5 Embedding AI Policy Awareness into Programmes and Practice

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      5.2.6 Key Takeaways

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      5.2.A Practical Use Cases

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      5.2.B Learning Activities

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      5.2.C Prompt Templates

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      5.2.D Innovative Use Cases

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      5.2.E Reflection & Discussion

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      5.2.F Productivity Tips

  4. 4

    5.3 Tools for Detecting AI-Generated Work (and Their Limitations)

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      5.3.1 Understanding the Mechanics and Misconceptions of AI Detection Tools

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      5.3.2 False Positives and False Confidence: Pedagogical Risks

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      5.3.3 Reframing Detection as Developmental Feedback

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      5.3.4 Ethical and Equity Considerations

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      5.3.5 Sandboxing and Awareness-Raising in Practice

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      5.3.6 Key Takeaways

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      5.3.A Practical Use Cases

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      5.3.B Learning Activities

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      5.3.C Prompt Templates

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      5.3.D Innovative Use Cases

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      5.3.E Reflection & Discussion

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      5.3.F Productivity Tips

  5. 5

    5.4 Designing Assessment to Mitigate Misuse and Support Learning

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      5.4.1 Rethinking Assessment in the AI Era

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      5.4.2 Designing for Transparency and Reflection

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      5.4.3 Incorporating Oral and Interactive Assessment Modes

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      5.4.4 Embedding Artefact-Driven and Process-Based Assessment

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      5.4.5 Ethical Integration and Student Partnership

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      5.4.6 Key Takeaways

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      5.4.A Practical Use Cases

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      5.4.B Learning Activities

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      5.4.C Prompt Templates

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      5.4.D Innovative Use Cases

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      5.4.E Reflection & Discussion

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      5.4.F Productivity Tips

  6. 6

    5.5 Building Cultures of Trust and Integrity in the AI Era

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      5.5.1 Reframing Integrity for a Generative Age

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      5.5.2 Empowering Students as Ethical Leaders

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      5.5.3 Recognising and Celebrating Ethical AI Use

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      5.5.4 Supporting Staff in Mentoring for Integrity

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      5.5.5 Engaging the Whole Community: AI Integrity Week

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      5.5.6 Key Takeaways

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      5.5.A Practical Use Cases

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      5.5.B Learning Activities

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      5.5.C Prompt Templates

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      5.5.D Innovative Use Cases

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      5.5.E Reflection & Discussion

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      5.5.F Productivity Tips

  7. 7

    Knowledge Check

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      Knowledge Check: Quiz

  8. 8

    Final Lesson Message

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      Course Complete: Share Your Feedback

  9. 9

    Feedback

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      End of Course Survey

Unlock Your Genai Potential

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