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 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

8 Chapters · 66 Lessons

    1. Welcome to the Course Free preview
    2. How This Course Works Free preview
    3. Legal Disclaimer & Terms of Use Free preview
    4. (Included in full purchase)

      Download: Universal AI Practice Workbook

    1. 1.1.1 Historical Shifts in Assessment Practice and Technology Free preview
    2. 1.1.2 GenAI’s Role in Formative Versus Summative Assessment Free preview
    3. 1.1.3 Redefining Authenticity and Rigour with AI Tools Free preview
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      1.1.4 From Static Tests to Generative Learning Tasks

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      1.1.5 Ethical Considerations in AI-Enabled Assessment Design

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      1.1.6 Key Takeaways

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      1.1.A Practical Use Cases

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      1.1.B Learning Activities

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      1.1.C Prompt Templates

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      1.1.D Innovative Use Cases

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      1.1.E Reflection & Discussion

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      1.1.F Productivity Tips

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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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      1.3.1 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 Designing Assessments Through Human–AI Co-Creation

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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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      1.3.F Productivity Tips

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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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      1.4.E Reflection & Discussion

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      1.4.F Productivity Tips

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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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      1.5.D Innovative Use Cases

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      1.5.E Reflection & Discussion

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      1.5.F Productivity Tips

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      Course Complete: Share Your Feedback

    1. (Included in full purchase)

      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.

£49.00

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