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

This course empowers educators and learners to develop critical AI literacy and ethical digital practices. Participants will explore the foundations of responsible AI use, learn to evaluate AI outputs with a critical eye, and engage in ethical case studies highlighting bias, harm and misinformation to inform their approach. Through reflexive activities emphasising digital citizenship, learners will cultivate self-awareness and collaborative design skills, co-creating AI-enhanced learning experiences that uphold fairness and accountability.

Meet Your Instructor

Jonathan Wong is the founder of CloudPedagogy, where he develops practical, responsible and future-focused approaches to digital learning and emerging technology. Drawing on over 20 years of experience in higher education, research and digital innovation, his work explores how technology can support learning, analysis and knowledge creation. His work spans generative and agentic AI, digital learning design, interactive learning systems, educational technology and open-source development. A particular focus is translating emerging technologies into practical tools, workflows and learning experiences while maintaining transparency, critical judgement and human oversight. Through CloudPedagogy, Jonathan develops courses, frameworks, demonstrations and open-source projects designed to help learners and professionals understand complex ideas, experiment with new technologies and apply them in meaningful real-world contexts.

Curriculum

9 Chapters · 67 Lessons

    1. Welcome to the Course Free preview
    2. How This Course Works Free preview
    3. Legal Disclaimer & Terms of Use Free preview

    1. (Included in full purchase)

      6.1.1 Defining AI Literacy in the Higher Education Context

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      6.1.2 Framing AI as Collaborator vs. Shortcut

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      6.1.3 Embedding AI Literacy into Orientation and Induction

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      6.1.4 Mapping AI Literacy vs. Digital and Data Literacy

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      6.1.5 Developing Prompt Responsibility as a Literacy Practice

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      6.1.6 Key Takeaways

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      6.1.A Practical Use Cases

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      6.1.B Learning Activities

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      6.1.C Prompt Templates

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      6.1.D Innovative Use Cases

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      6.1.E Reflection & Discussion

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      6.1.F Productivity Tips

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      6.2.1 The RRV Framework: Reliability, Relevance, Validity

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      6.2.2 Contradiction as a Learning Tool: Juxtaposing Outputs

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      6.2.3 Critique in Practice: Debunking, Testing, Revising

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      6.2.4 Logging and Reflecting: The AI Critique Journal

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      6.2.5 Simulating Diverse Voices: AI as Debate Partner

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      6.2.6 Key Takeaways

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      6.2.A Practical Use Cases

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      6.2.B Learning Activities

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      6.2.C Prompt Templates

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      6.2.D Innovative Use Cases

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      6.2.E Reflection & Discussion

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      6.2.F Productivity Tips

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      6.3.1 Recognising AI Bias: Understanding the Roots and Risks

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      6.3.2 Harm in Practice: From Algorithmic Discrimination to Misinformation

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      6.3.3 Exploring Ethical Dilemmas Through Case-Based Learning

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      6.3.4 Generative AI and Misinformation: Understanding and Countering Propagation

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      6.3.5 Student and Staff Voice in AI Ethics Debates

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      6.3.6 Key Takeaways

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      6.3.A Practical Use Cases

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      6.3.B Learning Activities

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      6.3.C Prompt Templates

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      6.3.D Innovative Use Cases

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      6.3.E Reflection & Discussion

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      6.3.F Productivity Tips

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      6.4.1 The Role of Reflexivity in the AI Era

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      6.4.2 AI Diaries: A Tool for Critical Reflection

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      6.4.3 Visualising Data Trails: Revealing the Hidden Curriculum

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      6.4.4 Co-Authorship and Intellectual Agency

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      6.4.5 Writing Personal AI Codes of Conduct

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      6.4.6 Key Takeaways

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      6.4.A Practical Use Cases

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      6.4.B Learning Activities

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      6.4.C Prompt Templates

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      6.4.D Innovative Use Cases

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      6.4.E Reflection & Discussion

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      6.4.F Productivity Tips

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      6.5.1 Redefining Student Roles in the Age of Generative AI

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      6.5.2 Establishing AI Design Studios and Hackathons

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      6.5.3 Building a Student-Curated Prompt Library

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      6.5.4 Integrating Student Voice into Curriculum and Tool Evaluation

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      6.5.5 Navigating Ethical Tensions Through Co-Reflection

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      6.5.6 Key Takeaways

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      6.5.A Practical Use Cases

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      6.5.B Learning Activities

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      6.5.C Prompt Templates

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      6.5.D Innovative Use Cases

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      6.5.E Reflection & Discussion

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      6.5.F Productivity Tips

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      Knowledge Check: Quiz

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      Knowledge Check: Quiz

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      Course Complete: Share Your Feedback

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      End of Course Survey

Unlock Your Genai Potential

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