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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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About the Course

Our Empowering Ethical AI Use Through Academic Skills Development course is designed to help educators and academic developers integrate ethical AI practices into the core of student skills training. The course explores how critical thinking, research methods, digital literacy, and academic integrity can be strengthened in the AI era, ensuring students use tools responsibly and effectively. You will learn how to embed ethical AI awareness into writing, research, and collaboration practices — equipping learners to thrive in an AI-enabled academic landscape with confidence, integrity, and adaptability.

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 · 71 Lessons

    1. Welcome to the Course Free preview
    2. How This Course Works Free preview
    3. Legal Disclaimer & Terms of Use Free preview
    4. Download: Universal AI Practice Workbook Free preview

    1. 3.1.1 Defining Ethics in the Context of Academic AI Use Free preview
    2. 3.1.2 Differentiating Legal, Ethical, and Institutional Expectations Free preview
    3. 3.1.3 Cultural Variations in Academic Honesty Norms Free preview
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      3.1.4 Recognising Grey Areas in AI-Supported Work

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      3.1.5 Fostering Curiosity and Responsibility in Tool Use

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      3.1.6 Key Takeaways

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      3.1.A Practical Use Cases

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      3.1.B Learning Activities

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      3.1.C Prompt Templates

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      3.1.D Innovative Use Cases

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      3.1.E Reflection & Discussion

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      3.1.F Productivity Tips

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      3.1.G Prompt Library

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      3.2.1 Critical Reading and Source Attribution with AI Tools

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      3.2.2 Paraphrasing, Synthesis, and AI: Where to Draw the Line

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      3.2.3 Integrating AI Tools into Literature Reviews Ethically

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      3.2.4 Using AI for Writing Support without Dependency

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      3.2.5 Time Management vs. Tool Reliance: Finding Balance

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      3.2.6 Key Takeaways

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      3.2.A Practical Use Cases

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      3.2.B Learning Activities

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      3.2.C Prompt Templates

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      3.2.D Innovative Use Cases

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      3.2.E Reflection & Discussion

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      3.2.F Productivity Tips

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      3.2.G Prompt Library

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      3.3.1 Planning Induction Sessions on GenAI Ethics

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      3.3.2 Co-Creating Student Guidelines for AI Use

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      3.3.3 Developing GenAI Case Studies for Academic Skills Sessions

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      3.3.4 Using Scenarios to Prompt Ethical Discussion

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      3.3.5 Designing Peer-Facilitated Learning on AI Integrity

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      3.3.6 Key Takeaways

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      3.3.A Practical Use Cases

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      3.3.B Learning Activities

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      3.3.C Prompt Templates

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      3.3.D Innovative Use Cases

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      3.3.E Reflection & Discussion

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      3.3.F Productivity Tips

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      3.3.G Prompt Library

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      3.4.1 Using AI to Generate and Evaluate Reflective Writing

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      3.4.2 Ethical Framing of Feedforward Tools in Learning Skills

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      3.4.3 Facilitating Student Journals with AI Support

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      3.4.4 Making Meta-Cognition Visible with AI Insights

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      3.4.5 Assessing the Integrity of Self-Directed AI Use

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      3.4.6 Key Takeaways

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      3.4.A Practical Use Cases

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      3.4.B Learning Activities

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      3.4.C Prompt Templates

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      3.4.D Innovative Use Cases

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      3.4.E Reflection & Discussion

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      3.4.F Productivity Tips

    13. (Included in full purchase)

      3.4.G Prompt Library

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      3.5.1 Framing AI Ethics as a Career-Long Skill

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      3.5.2 Teaching Students to Audit Their Own AI Usage

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      3.5.3 Encouraging Ethical AI Experimentation in Portfolios

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      3.5.4 Teaching Responsibility in Cross-Tool Workflows

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      3.5.5 Helping Students Craft Personal AI Use Statements

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      3.5.6 Key Takeaways

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      3.5.A Practical Use Cases

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      3.5.B Learning Activities

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      3.5.C Prompt Templates

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      3.5.D Innovative Use Cases

    11. (Included in full purchase)

      3.5.E Reflection & Discussion

    12. (Included in full purchase)

      3.5.F Productivity Tips

    13. (Included in full purchase)

      3.5.G Prompt Library

    1. (Included in full purchase)

      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.

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