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 GenAI, Academic Voice, and Original Thinking course is designed to help students, educators, and academic leaders navigate the challenges of originality in an AI-enabled world. With generative tools now capable of producing fluent text, the need to cultivate authentic academic voice, independent reasoning, and ethical scholarship has never been greater. This course blends conceptual exploration with practical strategies for fostering originality in writing, assessment, and supervision. You will learn how to position GenAI as a supportive tool rather than a replacement for thinking, how to scaffold students’ development of academic voice, and how to safeguard integrity in both teaching and institutional policy. Whether you are new to AI in education or shaping future academic standards, this course offers the frameworks and applied exercises to ensure originality and integrity remain at the core of scholarship.
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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7.1 Understanding Academic Voice in the Age of AI
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7.1.1 What Is “Voice” and Why It Still Matters
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7.1.2 Can AI Mimic Style Without Undermining Originality?
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7.1.3 Teaching Students to Reflect on AI-Revised Work
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7.1.4 Maintaining Authenticity When Using AI Assistance
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7.1.5 Defining Ownership and Voice in Multi-Tool Drafting
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7.1.6 Key Takeaways
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7.1.A Practical Use Cases
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7.1.B Learning Activities
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7.1.C Prompt Templates
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7.1.D Innovative Use Cases
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7.1.E Reflection & Discussion
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7.1.F Productivity Tips
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7.1.G Prompt Library
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7.1.H Applying the AI Capability Framework
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7.2 Rethinking Originality in Writing and Thinking
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7.2.1 From Copying to Conceptual Synthesis
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7.2.2 AI, Idea Generation, and the Role of the Student Mind
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7.2.3 Evaluating Novelty in the Presence of Predictive Tools
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7.2.4 Making Originality Visible Through Process Documentation
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7.2.5 Curating and Showcasing Student Intellectual Development
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7.2.6 Key Takeaways
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7.2.A Practical Use Cases
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7.2.B Learning Activities
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7.2.C Prompt Templates
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7.2.D Innovative Use Cases
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7.2.E Reflection & Discussion
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7.2.F Productivity Tips
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7.2.G Prompt Library
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7.2.H Applying the AI Capability Framework
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7.3 Embedding Voice Development into Curriculum Design
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7.3.1 Teaching Voice in Foundation and First-Year Modules
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7.3.2 Prompts, Drafting Tools, and Human Agency
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7.3.3 Designing for Self-Expression Across Disciplines
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7.3.4 AI and Creativity: Challenging “Samey” Outputs
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7.3.5 Assessment Criteria That Encourage Voice and Ownership
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7.3.6 Key Takeaways
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7.3.A Practical Use Cases
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7.3.B Learning Activities
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7.3.C Prompt Templates
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7.3.D Innovative Use Cases
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7.3.E Reflection & Discussion
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7.3.F Productivity Tips
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7.3.G Prompt Library
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7.3.H Applying the AI Capability Framework
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7.4 Feedback and Reflective Practice for Voice
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7.4.1 Training Students to Spot and Edit AI-Loss of Voice
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7.4.2 Peer Feedback on Authenticity and Authorial Presence
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7.4.3 Using Reflective Logs to Track Thought Evolution
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7.4.4 AI-Supported Formative Voice Development Activities
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7.4.5 Feedback Strategies That Reinforce Independent Thought
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7.4.6 Key Takeaways
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7.4.A Practical Use Cases
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7.4.B Learning Activities
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7.4.C Prompt Templates
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7.4.D Innovative Use Cases
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7.4.E Reflection & Discussion
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7.4.F Productivity Tips
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7.4.G Prompt Library
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7.4.H Applying the AI Capability Framework
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7.5 Upholding Voice in Group and Collaborative Work
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7.5.1 Challenges of Collective Voice in the AI Age
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7.5.2 Facilitating Ethical Division of AI Use in Group Projects
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7.5.3 Managing Contributions and Accountability
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7.5.4 AI-Supported Formative Voice Development Activities
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7.5.5 Reflecting on Authorship and Contribution Narratives
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7.5.6 Key Takeaways
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7.5.A Practical Use Cases
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7.5.B Learning Activities
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7.5.C Prompt Templates
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7.5.D Innovative Use Cases
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7.5.E Reflection & Discussion
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7.5.F Productivity Tips
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7.5.G Prompt Library
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7.5.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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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