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

Generative AI can transform your teaching across synchronous, asynchronous and hybrid formats. This course guides you through leveraging AI for lesson planning and delivery preparation, fostering dialogue, debate and co-creation in the classroom, and designing AI-enabled activities for online and blended learning environments. You’ll discover how personalised AI experiences boost student engagement and explore strategies for AI-enhanced reflection, review and peer learning. By the end, you’ll have practical workflows and tools to seamlessly integrate AI into every aspect of your teaching.

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

    4.1 Using AI for Lesson Planning and Delivery Preparation

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      4.1.1 Co-Creating Lesson Plans with Generative AI

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      4.1.2 Personalising for Diverse Learners at Scale

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      4.1.3 Refreshing, Contextualising, and Localising Content

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      4.1.4 Designing Interdisciplinary and Cross-Curricular Sessions

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      4.1.5 Building Reflective and Iterative Teaching Workflows

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      4.1.6 Key Takeaways

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      4.1.A Practical Use Cases

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      4.1.B Learning Activities

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      4.1.C Prompt Templates

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      4.1.D Innovative Use Cases

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      4.1.E Reflection & Discussion

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      4.1.F Productivity Tips

  3. 3

    4.2 AI in the Classroom: Dialogue, Debate, and Co-Creation

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      4.2.1 Redefining Dialogue in the AI-Augmented Classroom

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      4.2.2 Structured Debate and Critical Thinking with AI

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      4.2.3 Co-Creating Knowledge: Collaborative Writing and Argument Development

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      4.2.4 Inclusive Dialogue Through Language and Cultural Mediation

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      4.2.5 The Pedagogy of AI-Mediated Dialogue: Risks, Ethics, and Empowerment

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      4.2.6 Key Takeaways

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      4.2.A Practical Use Cases

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      4.2.B Learning Activities

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      4.2.C Prompt Templates

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      4.2.D Innovative Use Cases

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      4.2.E Reflection & Discussion

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      4.2.F Productivity Tips

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    4.3 Designing AI-Enabled Activities for Online and Hybrid Learning

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      4.3.1 Generative AI as a Pedagogical Collaborator

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      4.3.2 Branching Narratives and Adaptive Pathways

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      4.3.3 Co-Assessment and AI Feedback Loops

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      4.3.4 Asynchronous Interaction and AI Companions

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      4.3.5 Inclusive and Accessible AI Activity Design

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      4.3.6 Key Takeaways

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      4.3.A Practical Use Cases

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      4.3.B Learning Activities

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      4.3.C Prompt Templates

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      4.3.D Innovative Use Cases

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      4.3.E Reflection & Discussion

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      4.3.F Productivity Tips

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    4.4 Enhancing Student Participation Through AI-Personalised Experiences

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      4.4.1 Rethinking Participation in a Digital-First Era

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      4.4.2 Using AI to Detect Disengagement and Recommend Interventions

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      4.4.3 Personalising Participation Styles: Modalities and Preferences

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      4.4.4 Adaptive Release and Gamified Engagement Pathways

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      4.4.5 Encouraging Voice: AI Coaching and Anonymous Contribution

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      4.4.6 Key Takeaways

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      4.4.A Practical Use Cases

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      4.4.B Learning Activities

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      4.4.C Prompt Templates

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      4.4.D Innovative Use Cases

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      4.4.E Reflection & Discussion

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      4.4.F Productivity Tips

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    4.5 AI-Enhanced Reflection, Review, and Peer Learning

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      4.5.1 Foundations of Reflection and Peer Learning in Higher Education

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      4.5.2 AI-Supported Reflection Journals and Guided Prompts

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      4.5.3 Peer Review and Contribution Equity Through AI Analytics

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      4.5.4 AI-Augmented Feedback Loops and “What-If” Scenarios

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      4.5.5 Visualising Learning Journeys with AI

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      4.5.6 Key Takeaways

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      4.5.A Practical Use Cases

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      4.5.B Learning Activities

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      4.5.C Prompt Templates

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      4.5.D Innovative Use Cases

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      4.5.E Reflection & Discussion

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      4.5.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

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.

£97.00

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