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
Enhancing Learning Analytics with Generative AI empowers educators, learning technologists, and programme leads to use AI to make sense of educational data. You’ll learn how to interpret analytics dashboards, generate automated summaries, identify learning patterns, and translate findings into actionable improvements. Through hands-on examples, the course demonstrates how AI can assist in diagnosing learning challenges, visualising trends, and crafting targeted interventions — helping you move from data collection to meaningful educational insight and impact.
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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2
SECTION 1 — Getting Started
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3
SECTION 2 — AI Awareness & Orientation
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2.1 What is Generative AI in This Context?
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2.2 What Data Is Safe to Use With GenAI?
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2.3 Recognising Analytics That AI Can Help Interpret
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2.4 Visualising Learning Patterns with AI
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4
SECTION 3 — Co-Agency & Learning Design
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3.1 The Co-Designer Approach
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3.2 Building Analytics Narratives with AI
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3.3 Collaborative AI Workflows
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3.4 Linking Analytics to Pedagogy
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5
SECTION 4 — Applied Practice & Innovation
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4.1 AI-Assisted Interpretation of Engagement
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4.2 AI for Assessment Insights
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4.3 AI for Activity & Resource Insights
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4.4 Turning Insights into Redesign Actions
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6
SECTION 5 — Ethics, Equity & Impact
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5.1 Ethical Risks in Learning Analytics
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5.2 Data Privacy & Safe Analytic Practices
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5.3 AI and Inclusion
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5.4 Academic Integrity & AI Transparency
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7
SECTION 6 — Decision-Making & Governance
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6.1 When to Use AI & When Not To
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6.2 AI for Quality Assurance
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6.3 Policy & Compliance Considerations
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6.4 Analytics Reporting & Documentation
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8
SECTION 7 — Reflection, Learning & Renewal
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7.1 AI for Reflective Practice
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7.2 Analytics-Informed Continuous Improvement
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7.3 Personal Capability Development
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7.4 AI-Supported Reflection Pack
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9
SECTION 8 — Capstone Project
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8.1 Requirements
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8.2 Suggested Workflow
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8.3 Submission Pack
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10
SECTION 9 — Tools, Templates & Prompt Packs
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9.1 Prompt Packs
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9.2 Templates
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11
Final Lesson Message
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Course Complete: Share Your Feedback
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12
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