Purposeful AI-Enhanced Learning Design

Learn to design interactive live sessions that combine generative AI with meaningful dialogue, collaboration and active learning.

Practical Tools and Resources

Develop reusable session plans, collaborative activities, facilitation strategies and AI prompts through authentic educational scenarios and an applied capstone project.

Flexible, Self-Paced Learning

Study at your own pace and apply transferable approaches across Zoom, Microsoft Teams, Google Meet and other synchronous learning environments.

About the Course

Designing AI-Enhanced Live and Online Learning equips educators, trainers and facilitators to design, deliver and evaluate engaging, inclusive and intellectually meaningful synchronous learning experiences. Explore how generative AI can support learning design, interactive activities, collaborative problem-solving, adaptive facilitation and evidence-informed improvement. The course moves beyond using AI simply to generate content or save preparation time, focusing instead on how it can strengthen human reasoning, creativity, professional judgement and learner independence. Grounded in CloudPedagogy's Human–AI Augmented Capability Framework (HAACF), the course combines practical applications with responsible AI integration, accessibility and educational quality assurance. Through authentic examples, reusable planning templates, adaptable prompt libraries and a capstone design project, you'll develop the capability to create effective AI-enhanced live learning experiences across different teaching platforms and professional contexts.

Meet Your Instructor

Jonathan Wong is the founder of CloudPedagogy and a digital education specialist with over 20 years of experience across higher education, research and digital innovation. His work focuses on turning emerging technologies into practical approaches to learning, analysis and knowledge creation. Through CloudPedagogy, he develops courses, open-source tools, interactive learning systems and applied projects exploring areas including generative and agentic AI, educational technology and digital learning design. His approach emphasises practical experimentation, transparency, critical judgement and responsible use of technology. CloudPedagogy is built around learning by understanding, building and applying: making complex ideas accessible while creating practical tools and workflows that demonstrate how they can be used in real-world contexts.

Curriculum

10 Chapters · 33 Lessons

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

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      1.1 Course Introduction

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      1.2 Understanding Generative AI in Synchronous Learning

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      1.3 Identifying Opportunities and Limits for AI in Live Teaching

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      1.4 Human–AI Collaboration in Live Learning Environments

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      2.1 Designing Synchronous Learning Around Educational Outcomes

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      2.2 Co-Designing Live Session Structures with Generative AI

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      2.3 Allocating Human and AI Responsibilities in Learning Design

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      2.4 Aligning Activities, Interaction and Evidence of Learning

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      3.1 Developing AI-Supported Learning Materials and Activities

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      3.2 Designing Polls, Questions and Interactive Engagement

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      3.3 Designing Breakout Rooms and Collaborative Learning

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      3.4 Supporting Dialogue, Critical Thinking and Adaptive Facilitation

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      4.1 Designing Accessible Synchronous Learning Experiences

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      4.2 Supporting Participation, Inclusion and Cognitive Diversity

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      4.3 Managing Ethical Risks and AI Transparency

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      4.4 Balancing AI Assistance with Human Agency and Learner Independence

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      5.1 Evaluating When AI Adds Educational Value

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      5.2 Quality Assurance of AI-Enhanced Live Sessions

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      5.3 Institutional Policy, Privacy and Responsible Technology Use

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      5.4 Documenting and Communicating AI-Supported Teaching Decisions

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      6.1 Evaluating Engagement and Evidence of Learning

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      6.2 Using AI to Support Reflective Teaching Practice

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      6.3 Interpreting Learning Analytics and Participation Patterns

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      6.4 Developing Professional Capability in AI-Enhanced Teaching

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      7.1 Capstone Project: Designing an AI-Enhanced Live Learning Session

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      7.2 Capstone Workflow, Deliverables and Evaluation Criteria

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      7.3 Reusable Session Design Templates and Planning Tools

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      7.4 Prompt Library for AI-Enhanced Live Teaching

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      Course Complete: Share Your 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.

£29.00

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