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 AI Detection, Trust, and the Future of Plagiarism Prevention course is designed to equip educators, assessment designers, and institutional leaders with the knowledge and strategies to respond to the complexities of student use of generative AI. Moving beyond detection alone, the course examines the evolving role of trust, transparency, and academic culture in fostering integrity. You will explore the capabilities and limits of AI detection tools, critique their ethical and pedagogical implications, and design forward-looking approaches that balance fairness, inclusivity, and innovation. Whether you are rethinking plagiarism policy, developing staff and student guidance, or preparing for the next decade of integrity challenges, this course offers the insight and tools to build sustainable and trusted assessment practices.

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. 2.1.1 How AI Detection Systems Work (and Why They Fail) Free preview
    2. 2.1.2 False Positives, Bias, and Legal Risks in Detection Free preview
    3. 2.1.3 Emerging Tools and What They Actually Measure Free preview
    4. (Included in full purchase)

      2.1.4 Detection vs. Prevention: Strategic Use Cases

    5. (Included in full purchase)

      2.1.5 Limitations and Controversies in Detection Accuracy

    6. (Included in full purchase)

      2.1.6 Key Takeaways

    7. (Included in full purchase)

      2.1.A Practical Use Cases

    8. (Included in full purchase)

      2.1.B Learning Activities

    9. (Included in full purchase)

      2.1.C Prompt Templates

    10. (Included in full purchase)

      2.1.D Innovative Use Cases

    11. (Included in full purchase)

      2.1.E Reflection & Discussion

    12. (Included in full purchase)

      2.1.F Productivity Tips

    13. (Included in full purchase)

      2.1.G Prompt Library

    1. (Included in full purchase)

      2.2.1 Does AI-Generated Work Count as Plagiarism?

    2. (Included in full purchase)

      2.2.2 Updating Definitions: Reuse, Remake, or Theft?

    3. (Included in full purchase)

      2.2.3 Genre-Specific Implications (Essays, Code, Reports)

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      2.2.4 Creating Transparency in Drafting and Revision Processes

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      2.2.5 Addressing Ghostwriting and Contract Cheating with GenAI

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      2.2.6 Key Takeaways

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      2.2.A Practical Use Cases

    8. (Included in full purchase)

      2.2.B Learning Activities

    9. (Included in full purchase)

      2.2.C Prompt Templates

    10. (Included in full purchase)

      2.2.D Innovative Use Cases

    11. (Included in full purchase)

      2.2.E Reflection & Discussion

    12. (Included in full purchase)

      2.2.F Productivity Tips

    13. (Included in full purchase)

      2.2.G Prompt Library

    1. (Included in full purchase)

      2.3.1 Designing for Trust, Not Policing

    2. (Included in full purchase)

      2.3.2 Assessment Design That Reduces Misuse Opportunities

    3. (Included in full purchase)

      2.3.3 Building Student Awareness Through Trust Frameworks

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      2.3.4 Communication Strategies for Trust in AI-Integrated Work

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      2.3.5 Culturally Responsive Trust Practices in Global Classrooms

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      2.3.6 Key Takeaways

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      2.3.A Practical Use Cases

    8. (Included in full purchase)

      2.3.B Learning Activities

    9. (Included in full purchase)

      2.3.C Prompt Templates

    10. (Included in full purchase)

      2.3.D Innovative Use Cases

    11. (Included in full purchase)

      2.3.E Reflection & Discussion

    12. (Included in full purchase)

      2.3.F Productivity Tips

    13. (Included in full purchase)

      2.3.G Prompt Library

    1. (Included in full purchase)

      2.4.1 What Happens When AI Detection Accuses Falsely?

    2. (Included in full purchase)

      2.4.2 Appeals, Safeguards, and Student Rights in the AI Era

    3. (Included in full purchase)

      2.4.3 Faculty Development for AI Integrity Policies

    4. (Included in full purchase)

      2.4.4 Transparency and Legal Preparedness for GenAI Policies

    5. (Included in full purchase)

      2.4.5 Institutional Learning from Case Reviews and Missteps

    6. (Included in full purchase)

      2.4.6 Key Takeaways

    7. (Included in full purchase)

      2.4.A Practical Use Cases

    8. (Included in full purchase)

      2.4.B Learning Activities

    9. (Included in full purchase)

      2.4.C Prompt Templates

    10. (Included in full purchase)

      2.4.D Innovative Use Cases

    11. (Included in full purchase)

      2.4.E Reflection & Discussion

    12. (Included in full purchase)

      2.4.F Productivity Tips

    13. (Included in full purchase)

      2.4.G Prompt Library

    1. (Included in full purchase)

      2.5.1 Integrity in Collaborative AI + Human Workflows

    2. (Included in full purchase)

      2.5.2 Ethical Data Use in Learning Analytics and AI

    3. (Included in full purchase)

      2.5.3 From Detection to Dialogue: A Long-Term Vision

    4. (Included in full purchase)

      2.5.4 Aligning Institutional Values with AI Policy Evolution

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      2.5.5 Designing for Uncertainty

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      2.5.6 Key Takeaways

    7. (Included in full purchase)

      2.5.A Practical Use Cases

    8. (Included in full purchase)

      2.5.B Learning Activities

    9. (Included in full purchase)

      2.5.C Prompt Templates

    10. (Included in full purchase)

      2.5.D Innovative Use Cases

    11. (Included in full purchase)

      2.5.E Reflection & Discussion

    12. (Included in full purchase)

      2.5.F Productivity Tips

    13. (Included in full purchase)

      2.5.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.

£49.00

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