Hands-On Learning

Apply generative AI to real research tasks with guided prompts, use cases, and interactive activities.

Research-Focused Instruction

Learn from in-depth, interdisciplinary examples rooted in academic and applied research practice.

Flexible, Self-Paced Study

Work through structured lessons at your own pace, with tools to support your current research projects.

About the Course

Our Generative AI for Teaching, Learning & Academic Support course is carefully designed to help educators harness AI as a practical, thoughtful partner in education. Whether you're new to AI or looking to enhance your current approach, this course offers structured guidance and hands-on strategies across curriculum planning, personalised support, assessment, and engagement. Join us and develop future-ready teaching skills grounded in pedagogical integrity.

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

8 Chapters · 71 Lessons

    1. Welcome to the Course Free preview
    2. How This Course Works Free preview
    3. Legal Disclaimer & Terms of Use Free preview
    4. Download: Universal AI Practice Workbook Free preview

    1. (Included in full purchase)

      7.1.1 Using Generative AI to Create Structured Course Outlines for Academic Subjects

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      7.1.2 AI-Driven Design of Lesson Plans Tailored to Student Learning Outcomes

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      7.1.3 Automating the Creation of Course Syllabi with AI Assistance

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      7.1.4 How to Adapt AI-Generated Materials for Different Educational Levels (Undergraduate to PhD)

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      7.1.5 Integrating AI-Driven Content into Active Learning Environments

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      7.1.6 Key Takeaways

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      7.1.7 Knowledge Check

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      7.1.A Practical Use Cases

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      7.1.B Learning Activities

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      7.1.C Prompt Templates

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      7.1.D Innovative Use Cases

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      7.1.E Reflection & Discussion

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      7.1.F Productivity Tips

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      7.2.1 Using AI to Create Personalised Learning Paths for Individual Students

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      7.2.2 How AI Assistants Can Adapt Content Based on Student Progress and Understanding

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      7.2.3 Enhancing Student Engagement and Retention with AI-Supported Education

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      7.2.4 AI Tools That Assist in Providing Real-Time Feedback on Student Performance

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      7.2.5 Using AI for Targeted Interventions in Student Learning and Assessment

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      7.2.6 Key Takeaways

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      7.2.7 Knowledge Check

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      7.2.A Practical Use Cases

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      7.2.B Learning Activities

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      7.2.C Prompt Templates

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      7.2.D Innovative Use Cases

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      7.2.E Reflection & Discussion

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      7.2.F Productivity Tips

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      7.3.1 AI-Powered Feedback Systems for Evaluating Student Assignments

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      7.3.2 How AI Assists in Designing Formative and Summative Assessments

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      7.3.3 Generating Automated Quizzes, Exams, and Assessments Using AI

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      7.3.4 Ensuring Fairness and Accuracy in AI-Based Grading Systems

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      7.3.5 Using AI to Offer Personalised Feedback on Student Work to Improve Performance

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      7.3.6 Key Takeaways

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      7.3.7 Knowledge Check

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      7.3.A Practical Use Cases

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      7.3.B Learning Activities

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      7.3.C Prompt Templates

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      7.3.D Innovative Use Cases

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      7.3.E Reflection & Discussion

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      7.3.F Productivity Tips

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      7.4.1 How to Generate Discussion Prompts that Encourage Critical Thinking with Generative AI

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      7.4.2 AI's Role in Creating Interactive Case Studies for Active Learning Environments

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      7.4.3 Customising AI-Generated Prompts and Case Studies for Specific Courses or Topics

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      7.4.4 Using AI to Simulate Real-World Scenarios and Design Problem-Solving Activities

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      7.4.5 How AI Helps Generate Dynamic Learning Materials Based on Course Progress

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      7.4.6 Key Takeaways

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      7.4.7 Knowledge Check

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      7.4.A Practical Use Cases

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      7.4.B Learning Activities

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      7.4.C Prompt Templates

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      7.4.D Innovative Use Cases

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      7.4.E Reflection & Discussion

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      7.4.F Productivity Tips

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      7.5.1 Strategies for Integrating AI into Teaching Without Compromising Human-Led Pedagogy

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      7.5.2 The Benefits of a Balanced Approach to AI in Education and Traditional Methods

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      7.5.3 How to Foster Critical Thinking Despite the Use of AI in the Classroom

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      7.5.4 Maintaining the Role of the Educator in an AI-Enhanced Learning Environment

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      7.5.5 Ethical Considerations in Using AI to Automate Teaching Tasks

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      7.5.6 Key Takeaways

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      7.5.7 Knowledge Check

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      7.5.A Practical Use Cases

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      7.5.B Learning Activities

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      7.5.C Prompt Templates

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      7.5.D Innovative Use Cases

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      7.5.E Reflection & Discussion

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      7.5.F Productivity Tips

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      Course Complete: Share Your Feedback

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      End of Course Survey

Unlock Your Research 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

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