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Gain practical experience through hands-on projects and real-world applications.

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Learn from industry experts with years of experience in Generative AI research.

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Study at your own pace with our online platform, allowing you to balance work and learning effectively.

About the Course

Our course on Designing Rubrics and Marking Guides with GenAI is designed to help educators, trainers, and professionals create assessments that are transparent, equitable, and effective. Through five focused chapters, you will explore the purpose and power of rubrics, learn how to draft and refine them with generative AI, and discover how to embed them seamlessly into teaching and learning. The course also covers marking guides, criteria sheets, and narrative tools, with a strong emphasis on ensuring clarity and inclusivity. Whether you are new to rubric design or seeking to enhance your existing practices, this course offers practical strategies and frameworks to transform the way you assess and support learning.

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 · 72 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. (Included in full purchase)

      6.1.1 Principles of rubric-based assessment in HE

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      6.1.2 Supporting transparency and consistency in marking

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      6.1.3 Rubrics as tools for learning, not just grading

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      6.1.4 Critiques and controversies in rubric use

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      6.1.5 Types of rubrics and their pedagogical alignment

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      6.1.6 Key Takeaways

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      6.1.A Practical Use Cases

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      6.1.B Learning Activities

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      6.1.C Prompt Templates

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      6.1.D Innovative Use Cases

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      6.1.E Reflection & Discussion

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      6.1.F Productivity Tips

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      6.1.G Prompt Library

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      6.2.1 Prompting AI to scaffold rubric creation

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      6.2.2 Customising AI-generated rubrics for level and discipline

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      6.2.3 Peer review and validation of AI outputs

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      6.2.4 Balancing detail and usability in rubric design

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      6.2.5 Examples of AI-designed rubrics in practice

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      6.2.6 Key Takeaways

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      6.2.A Practical Use Cases

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      6.2.B Learning Activities

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      6.2.C Prompt Templates

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      6.2.D Innovative Use Cases

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      6.2.E Reflection & Discussion

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      6.2.F Productivity Tips

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      6.2.G Prompt Library

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      6.3.1 Communicating expectations through rubrics

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      6.3.2 Using rubrics to guide student self-assessment

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      6.3.3 Rubric-driven feedback and dialogue

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      6.3.4 AI tools to align learning tasks and rubrics

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      6.3.5 Designing assessments with backward mapping

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      6.3.6 Key Takeaways

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      6.3.A Practical Use Cases

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      6.3.B Learning Activities

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      6.3.C Prompt Templates

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      6.3.D Innovative Use Cases

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      6.3.E Reflection & Discussion

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      6.3.F Productivity Tips

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      6.3.G Prompt Library

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      6.4.1 When to use marking guides vs rubrics

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      6.4.2 GenAI and free-text commentary generation

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      6.4.3 Adapting narrative rubrics with AI support

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      6.4.4 Discipline-specific examples from HE practice

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      6.4.5 Co-creating guides with staff using GenAI prompts

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      6.4.6 Key Takeaways

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      6.4.A Practical Use Cases

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      6.4.B Learning Activities

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      6.4.C Prompt Templates

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      6.4.D Innovative Use Cases

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      6.4.E Reflection & Discussion

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      6.4.F Productivity Tips

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      6.4.G Prompt Library

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      6.5.1 Avoiding bias in language and descriptors

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      6.5.2 Designing for diverse learners and access needs

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      6.5.3 Evaluating fairness in AI-created frameworks

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      6.5.4 Transparency in AI-human collaboration

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      6.5.5 Institutional standards and QA integration

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      6.5.6 Key Takeaways

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      6.5.A Practical Use Cases

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      6.5.B Learning Activities

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      6.5.C Prompt Templates

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      6.5.D Innovative Use Cases

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      6.5.E Reflection & Discussion

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      6.5.F Productivity Tips

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      6.5.G Prompt Library

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      6.5.H Applying the AI Capability Framework

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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.

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