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, 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

8 Chapters · 75 Lessons

  1. 1

    Introduction

    1. Welcome to the Course Free preview
    2. How This Course Works Free preview
    3. Legal Disclaimer & Terms of Use Free preview
  2. 2

    2.1 The Landscape of AI Detection Tools

    1. (Included in full purchase)

      2.1.1 How AI Detection Systems Work (and Why They Fail)

    2. (Included in full purchase)

      2.1.2 False Positives, Bias, and Legal Risks in Detection

    3. (Included in full purchase)

      2.1.3 Emerging Tools and What They Actually Measure

    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

    14. (Included in full purchase)

      2.1.H Applying the AI Capability Framework

  3. 3

    2.2 Reimagining Plagiarism in GenAI Contexts

    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)

    4. (Included in full purchase)

      2.2.4 Creating Transparency in Drafting and Revision Processes

    5. (Included in full purchase)

      2.2.5 Addressing Ghostwriting and Contract Cheating with GenAI

    6. (Included in full purchase)

      2.2.6 Key Takeaways

    7. (Included in full purchase)

      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

    14. (Included in full purchase)

      2.2.H Applying the AI Capability Framework

  4. 4

    2.3 Building Trust-First Approaches

    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

    4. (Included in full purchase)

      2.3.4 Communication Strategies for Trust in AI-Integrated Work

    5. (Included in full purchase)

      2.3.5 Culturally Responsive Trust Practices in Global Classrooms

    6. (Included in full purchase)

      2.3.6 Key Takeaways

    7. (Included in full purchase)

      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

    14. (Included in full purchase)

      2.3.H Applying the AI Capability Framework

  5. 5

    2.4 Institutional Risk and Due Process

    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

    14. (Included in full purchase)

      2.4.H Applying the AI Capability Framework

  6. 6

    2.5 Designing Future-Resilient Integrity Frameworks

    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

    5. (Included in full purchase)

      2.5.5 Designing for Uncertainty: What Comes After GPT-5?

    6. (Included in full purchase)

      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

    14. (Included in full purchase)

      2.5.H Applying the AI Capability Framework

  7. 7

    Final Lesson Message

    1. (Included in full purchase)

      Course Complete: Share Your Feedback

  8. 8

    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.

£97.00

Enroll Now Free preview