Hands-On Learning
Gain practical experience through hands-on projects and real-world applications.
Expert Guidance
Learn from industry experts with years of experience in Generative AI research.
Flexible Schedule
Study at your own pace with our online platform, allowing you to balance work and learning effectively.
About the Course
Our AI-Supported Assessment Design course is meticulously crafted to equip educators, learning designers, and institutional leaders with the knowledge and skills needed to design assessments in an AI-augmented era. Whether you are exploring generative AI for the first time or seeking to embed it into strategy and practice, this course offers a comprehensive curriculum spanning design principles, practical tools, ethical considerations, and policy alignment. Join us on a transformative learning journey that will help you create assessments that are innovative, inclusive, and future-ready.
Meet Your Instructor
Jonathan Wong is the founder of CloudPedagogy, where he develops ethical, practical, and future-ready learning systems for Generative, Agentic, and emerging Quantum AI. Drawing on over 20 years of experience in higher education, research, and digital innovation, he specialises in applying AI to real-world contexts — from curriculum design and assessment reform to research acceleration and institutional strategy. His frameworks and courses help educators, researchers, and professionals build the confidence, capability, and critical insight needed to thrive across the evolving Continuum of Intelligence.
Curriculum
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1
Introduction
- Welcome to the Course Free preview
- How This Course Works Free preview
- Legal Disclaimer & Terms of Use Free preview
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(Included in full purchase)
Download: Universal AI Practice Workbook
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2
1.1 Rethinking Assessment in the Age of GenAI
- 1.1.1 Historical Shifts in Assessment Practice and Technology Free preview
- 1.1.2 GenAI’s Role in Formative Versus Summative Assessment Free preview
- 1.1.3 Redefining Authenticity and Rigour with AI Tools Free preview
- 1.1.4 From Static Tests to Generative Learning Tasks Free preview
- 1.1.5 Ethical Considerations in AI-Enabled Assessment Design Free preview
- 1.1.6 Key Takeaways Free preview
- 1.1.A Practical Use Cases Free preview
- 1.1.B Learning Activities Free preview
- 1.1.C Prompt Templates Free preview
- 1.1.D Innovative Use Cases Free preview
- 1.1.E Reflection & Discussion Free preview
- 1.1.F Productivity Tips Free preview
- 1.1.G Prompt Library Free preview
- 1.1.H Applying the AI Capability Framework Free preview
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1.2 Designing AI-Enhanced Assessment Strategies
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1.2.1 Aligning learning outcomes with GenAI-enabled tasks
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1.2.2 Using AI to support diverse learner pathways
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1.2.3 Prompt engineering for assessment generation
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1.2.4 Balancing automation and educator judgement
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1.2.5 Creating inclusive, AI-informed assessments
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1.2.6 Key Takeaways
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1.2.A Practical Use Cases
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1.2.B Learning Activities
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1.2.C Prompt Templates
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1.2.D Innovative Use Cases
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1.2.E Reflection & Discussion
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1.2.F Productivity Tips
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1.2.G Prompt Library
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1.2.H Applying the AI Capability Framework
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1.3 AI Tools and Platforms for Assessment Development
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1.3.1 Overview of GenAI tools for HE assessment creation
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1.3.2 Integrating AI platforms into institutional workflows
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1.3.3 Use case: creating assessments with ChatGPT and Claude
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1.3.4 Combining GenAI with LMS and marking platforms
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1.3.5 Assessing tool effectiveness and interoperability
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1.3.6 Key Takeaways
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1.3.A Practical Use Cases
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1.3.B Learning Activities
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1.3.C Prompt Templates
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1.3.D Innovative Use Cases
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1.3.E Reflection & Discussion
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(Included in full purchase)
1.3.F Productivity Tips
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(Included in full purchase)
1.3.G Prompt Library
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1.3.H Applying the AI Capability Framework
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1.4 Innovating with Feedback: Feedforward by Design
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1.4.1 The shift from reactive to proactive feedback models
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1.4.2 Using GenAI to generate formative feedback at scale
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1.4.3 Supporting peer and self-assessment with AI
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1.4.4 Embedding feedback literacy in AI-assisted contexts
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1.4.5 Leveraging AI to personalise the feedback loop
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1.4.6 Key Takeaways
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1.4.A Practical Use Cases
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1.4.B Learning Activities
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1.4.C Prompt Templates
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1.4.D Innovative Use Cases
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(Included in full purchase)
1.4.E Reflection & Discussion
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(Included in full purchase)
1.4.F Productivity Tips
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(Included in full purchase)
1.4.G Prompt Library
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(Included in full purchase)
1.4.H Applying the AI Capability Framework
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1.5 Institutional Strategy and Policy for AI Assessment
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1.5.1 Policy considerations in AI-led assessment change
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1.5.2 Academic integrity and quality assurance frameworks
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1.5.3 Staff training and AI literacy for assessment redesign
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1.5.4 Embedding GenAI in assessment strategy and QA cycles
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1.5.5 Futures thinking: emerging models of assessment in HE
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1.5.6 Key Takeaways
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1.5.A Practical Use Cases
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1.5.B Learning Activities
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1.5.C Prompt Templates
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(Included in full purchase)
1.5.D Innovative Use Cases
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(Included in full purchase)
1.5.E Reflection & Discussion
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(Included in full purchase)
1.5.F Productivity Tips
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(Included in full purchase)
1.5.G Prompt Library
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(Included in full purchase)
1.5.H Applying the AI Capability Framework
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7
Final Lesson Message
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Course Complete: Share Your Feedback
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8
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.
£97.00