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
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
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Welcome to the Course Free preview
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How This Course Works Free preview
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Legal Disclaimer & Terms of Use Free preview
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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
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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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4.3.1 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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4.4.1 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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4.5.1 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
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Knowledge Check: Quiz
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Course Complete: Share Your Feedback
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End of Course Survey
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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.
£49.00