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 Designing Ethical AI Use Policies and Student Agreements course equips educators, academic leaders, and policy-makers with the tools to address AI use in higher education thoughtfully and responsibly. You will explore how to draft institutional guidelines, create student-facing agreements, and embed principles of equity, transparency, and academic integrity into practice. The course combines policy frameworks, real-world case studies, and scenario-based exercises to help you navigate the complexities of AI adoption. Whether you are developing new policies or refining existing ones, this course offers practical strategies for balancing institutional accountability, student agency, and the evolving capabilities of generative AI.
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
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6.1 Framing AI Use Expectations Institution-Wide
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6.1.1 What Makes a GenAI Policy Clear and Actionable?
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6.1.2 Aligning AI Policies with Learning Objectives
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6.1.3 Balancing Encouragement and Control
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6.1.4 Avoiding Overreach: Respecting Student Autonomy
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6.1.5 Framing Policies as Living Documents
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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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6.1.H Applying the AI Capability Framework
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6.2 Developing Faculty and Programme-Level Guidance
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6.2.1 Departmental Autonomy vs. Consistency Across the Institution
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6.2.2 Creating Use Case Matrices by Subject Area
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6.2.3 How Programme Teams Can Create Coherent Messaging
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6.2.4 Faculty-Led Policy Adaptation Frameworks
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6.2.5 Providing Contextualised Support Resources
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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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6.2.H Applying the AI Capability Framework
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6.3 Designing Student-Friendly GenAI Agreements
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6.3.1 From Legalese to Accessibility: Writing with Students in Mind
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6.3.2 Explaining What Students Can and Cannot Do
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6.3.3 Building Trust Through Transparency and Consent
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6.3.4 Using Digital Signatures and Student Co-Ownership
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6.3.5 Linking Agreements to Induction and Ongoing Support
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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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6.3.H Applying the AI Capability Framework
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6.4 Policy Co-Design with Stakeholders
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6.4.1 Involving Students, Staff, and Librarians in Policy Shaping
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6.4.2 Hosting Inclusive Consultations and Dialogues
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6.4.3 Scenario Testing and Case Review During Development
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6.4.4 Using GenAI to Simulate and Stress-Test Policy Impact
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6.4.5 Capturing Feedback and Iterating Transparently
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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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6.4.H Applying the AI Capability Framework
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6.5 Policy Implementation, Monitoring, and Revision
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6.5.1 Launching Policies Across HE Systems and Platforms
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6.5.2 Monitoring Adoption and Alignment in Classrooms
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6.5.3 Supporting Ongoing Interpretation and Clarification
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6.5.4 Responding to Edge Cases and Unintended Consequences
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6.5.5 Setting Timelines and Triggers for Policy Review
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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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Final Lesson Message
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Course Complete: Share Your Feedback
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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