Hands-On Learning

Simulate real-world teaching and institutional scenarios with guided AI prompts, case studies and interactive activities.

Education-Focused Insights

Explore best practices and real examples of AI integration in pedagogy, curriculum design and student support.

Flexible, Self-Paced Learning

Work through structured, on-demand modules at your own pace, with resources tailored to your teaching and leadership goals.

About the Course

Assess AI tools for teaching and learning with confidence. This course guides educators through pedagogical, ethical and technical evaluation criteria, developing practical, customised frameworks and rubrics, and conducting pilot studies with contextual feedback loops. Dive into transparency and explainability to grasp AI decision-making processes, and navigate procurement strategies, risk management and institutional fit. By the end, you will be equipped to select and implement AI solutions that align with your educational goals and safeguard learner outcomes.

Meet Your Instructor

I'm Jonathan Wong, Founder of CloudPedagogy, Lead AI Educator, and research and innovation strategist with over 20 years in higher education and research, specialising in data science, AI, and advanced cloud technologies. My work focuses on applying generative AI to enhance teaching, research, and institutional operations, build intelligent AI systems, and advance ethical AI governance. In this course, I share practical frameworks, hands-on tools, and sector-specific examples developed through applied work in higher education and research. Whether you're starting your AI journey or aiming to deepen your expertise, you'll gain the skills and strategies to apply AI effectively, creatively, and responsibly in your professional context.

Curriculum

9 Chapters · 66 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

    8.1 Key Evaluation Criteria: Pedagogical, Ethical, and Technical

    1. (Included in full purchase)

      8.1.1 Framing the Three-Lens Evaluation Model

    2. (Included in full purchase)

      8.1.2 Pedagogical Evaluation: Learning Value and Alignment

    3. (Included in full purchase)

      8.1.3 Ethical Evaluation: Fairness, Bias, and Inclusion

    4. (Included in full purchase)

      8.1.4 Technical Evaluation: Usability, Interoperability, and Risk

    5. (Included in full purchase)

      8.1.5 Simulating Tool Performance with AI

    6. (Included in full purchase)

      8.1.6 Key Takeaways

    7. (Included in full purchase)

      8.1.A Practical Use Cases

    8. (Included in full purchase)

      8.1.B Learning Activities

    9. (Included in full purchase)

      8.1.C Prompt Templates

    10. (Included in full purchase)

      8.1.D Innovative Use Cases

    11. (Included in full purchase)

      8.1.E Reflection & Discussion

    12. (Included in full purchase)

      8.1.F Productivity Tips

  3. 3

    8.2 Creating and Using AI Evaluation Frameworks and Rubrics

    1. (Included in full purchase)

      8.2.1 Why Evaluation Matters: Context and Challenges in Higher Education

    2. (Included in full purchase)

      8.2.2 Key Frameworks: AIDE, RRV, and PART Explained

    3. (Included in full purchase)

      8.2.3 Designing Multi-Dimensional Evaluation Rubrics

    4. (Included in full purchase)

      8.2.4 Embedding Evaluation into Academic and Operational Workflows

    5. (Included in full purchase)

      8.2.5 Using AI to Assist in Evaluation: Meta-Evaluation and Matrices

    6. (Included in full purchase)

      8.2.6 Key Takeaways

    7. (Included in full purchase)

      8.2.A Practical Use Cases

    8. (Included in full purchase)

      8.2.B Learning Activities

    9. (Included in full purchase)

      8.2.C Prompt Templates

    10. (Included in full purchase)

      8.2.D Innovative Use Cases

    11. (Included in full purchase)

      8.2.E Reflection & Discussion

    12. (Included in full purchase)

      8.2.F Productivity Tips

  4. 4

    8.3 Testing Tools in Context: Pilot Studies and Feedback Loops

    1. (Included in full purchase)

      8.3.1 Why Pilot Testing Matters in Higher Education AI Adoption

    2. (Included in full purchase)

      8.3.2 Designing Inclusive, Discipline-Aware Pilots

    3. (Included in full purchase)

      8.3.3 Implementing Sandbox Environments and No-Risk Zones

    4. (Included in full purchase)

      8.3.4 Feedback Loops – Human Insight Meets AI Analysis

    5. (Included in full purchase)

      8.3.5 From Pilot to Practice – Embedding Lessons into Strategy

    6. (Included in full purchase)

      8.3.6 Key Takeaways

    7. (Included in full purchase)

      8.3.A Practical Use Cases

    8. (Included in full purchase)

      8.3.B Learning Activities

    9. (Included in full purchase)

      8.3.C Prompt Templates

    10. (Included in full purchase)

      8.3.D Innovative Use Cases

    11. (Included in full purchase)

      8.3.E Reflection & Discussion

    12. (Included in full purchase)

      8.3.F Productivity Tips

  5. 5

    8.4 Transparency and Explainability: What Should Educators Know?

    1. (Included in full purchase)

      8.4.1 What Is Transparency in Generative AI—and Why Does It Matter?

    2. (Included in full purchase)

      8.4.2 Explainability—Making AI Understandable Across Roles

    3. (Included in full purchase)

      8.4.3 Embedding Transparency in Everyday Academic Practice

    4. (Included in full purchase)

      8.4.4 Using Visual Interfaces and Tools to Support Transparency

    5. (Included in full purchase)

      8.4.5 Fostering a Culture of Cross-Functional Transparency

    6. (Included in full purchase)

      8.4.6 Key Takeaways

    7. (Included in full purchase)

      8.4.A Practical Use Cases

    8. (Included in full purchase)

      8.4.B Learning Activities

    9. (Included in full purchase)

      8.4.C Prompt Templates

    10. (Included in full purchase)

      8.4.D Innovative Use Cases

    11. (Included in full purchase)

      8.4.E Reflection & Discussion

    12. (Included in full purchase)

      8.4.F Productivity Tips

  6. 6

    8.5 Procurement, Risk, and Institutional Fit

    1. (Included in full purchase)

      8.5.1 Strategic Alignment – Beyond Technical Fit

    2. (Included in full purchase)

      8.5.2 AI-Assisted Cost-Benefit Modelling and Forecasting

    3. (Included in full purchase)

      8.5.3 Embedding Student and Staff Voice into Procurement

    4. (Included in full purchase)

      8.5.4 Equity-Centred, Ethical Procurement Protocols

    5. (Included in full purchase)

      8.5.5 Simulating Institutional Risk with Generative AI

    6. (Included in full purchase)

      8.5.6 Key Takeaways

    7. (Included in full purchase)

      8.5.A Practical Use Cases

    8. (Included in full purchase)

      8.5.B Learning Activities

    9. (Included in full purchase)

      8.5.C Prompt Templates

    10. (Included in full purchase)

      8.5.D Innovative Use Cases

    11. (Included in full purchase)

      8.5.E Reflection & Discussion

    12. (Included in full purchase)

      8.5.F Productivity Tips

  7. 7

    Knowledge Check

    1. (Included in full purchase)

      Knowledge Check: Quiz

  8. 8

    Final Lesson Message

    1. (Included in full purchase)

      Course Complete: Share Your Feedback

  9. 9

    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