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 course on Formative Assessment with AI is designed to help educators and professionals transform assessment practice with generative AI. From the foundations of formative assessment to AI-enabled feedback, inclusivity, and analytics, this programme blends theory with practical strategies you can apply immediately. Whether you are enhancing classroom learning, supporting professional training, or evaluating outcomes, you will gain the tools, confidence, and ethical grounding to design formative systems that truly drive engagement and growth.

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

8 Chapters · 76 Lessons

  1. 1

    Introduction

    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

  2. 2

    4.1 The Role of Formative Assessment in HE

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      4.1.1 Distinguishing formative from summative assessment

    2. (Included in full purchase)

      4.1.2 Designing for feedback-rich learning experiences

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      4.1.3 The student perspective: motivation and metacognition

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      4.1.4 Using formative data to inform teaching

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      4.1.5 Challenges in scaling formative feedback

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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

    12. (Included in full purchase)

      4.1.F Productivity Tips

    13. (Included in full purchase)

      4.1.G Prompt Library

    14. (Included in full purchase)

      4.1.H Applying the AI Capability Framework

  3. 3

    4.2 AI Tools for Formative Assessment

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      4.2.1 GenAI prompts for knowledge checks and reflection

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      4.2.2 Using AI to generate low-stakes quizzes and activities

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      4.2.3 Adaptive learning with GenAI and analytics

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      4.2.4 Providing real-time insights to educators

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      4.2.5 Creating scalable AI-based learning nudges

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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

    11. (Included in full purchase)

      4.2.E Reflection & Discussion

    12. (Included in full purchase)

      4.2.F Productivity Tips

    13. (Included in full purchase)

      4.2.G Prompt Library

    14. (Included in full purchase)

      4.2.H Applying the AI Capability Framework

  4. 4

    4.3 Scaffolding Feedback Through Formative AI Interventions

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      4.3.1 Progressive disclosure of hints and resources

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      4.3.2 Automating personalised feedback loops

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      4.3.3 Guiding reflection and self-assessment with AI

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      4.3.4 Case studies of AI-supported feedback in formative tasks

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      4.3.5 Integrating AI into weekly learning cycles

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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

    11. (Included in full purchase)

      4.3.E Reflection & Discussion

    12. (Included in full purchase)

      4.3.F Productivity Tips

    13. (Included in full purchase)

      4.3.G Prompt Library

    14. (Included in full purchase)

      4.3.H Applying the AI Capability Framework

  5. 5

    4.4 Designing Inclusive Formative Assessments

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      4.4.1 Designing Inclusive Formative Assessment with UDL and Generative AI

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      4.4.2 Language and Cognitive Load Adaptation

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      4.4.3 Supporting Neurodiverse Learners with GenAI

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      4.4.4 Culturally Responsive Formative Tools

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      4.4.5 Ensuring Accessibility in AI-Generated Materials

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      4.4.6 Key Takeaways

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      4.4.A Practical Use Cases

    8. (Included in full purchase)

      4.4.B Learning Activities

    9. (Included in full purchase)

      4.4.C Prompt Templates

    10. (Included in full purchase)

      4.4.D Innovative Use Cases

    11. (Included in full purchase)

      4.4.E Reflection & Discussion

    12. (Included in full purchase)

      4.4.F Productivity Tips

    13. (Included in full purchase)

      4.4.G Prompt Library

    14. (Included in full purchase)

      4.4.H Applying the AI Capability Framework

  6. 6

    4.5 Evaluating Formative Impact with AI Analytics

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      4.5.1 Measuring learning gain over time

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      4.5.2 Using AI to visualise engagement and progression

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      4.5.3 Triangulating AI data with human judgement

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      4.5.4 Customising dashboards for academic teams

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      4.5.5 Limitations and risks in AI-driven metrics

    6. (Included in full purchase)

      4.5.6 Key Takeaways

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      4.5.A Practical Use Cases

    8. (Included in full purchase)

      4.5.B Learning Activities

    9. (Included in full purchase)

      4.5.C Prompt Templates

    10. (Included in full purchase)

      4.5.D Innovative Use Cases

    11. (Included in full purchase)

      4.5.E Reflection & Discussion

    12. (Included in full purchase)

      4.5.F Productivity Tips

    13. (Included in full purchase)

      4.5.G Prompt Library

    14. (Included in full purchase)

      4.5.H Applying the AI Capability Framework

  7. 7

    Final Lesson Message

    1. (Included in full purchase)

      Course Complete: Share Your Feedback

  8. 8

    Feedback

    1. (Included in full purchase)

      End of Course Survey

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