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 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
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Welcome to the Course Free preview
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How This Course Works Free preview
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Legal Disclaimer & Terms of Use Free preview
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1.1 Course Introduction Free preview
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1.2 What You Will Learn Free preview
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1.3 Course Format & Assessments Free preview
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1.4 Quick Start Free preview
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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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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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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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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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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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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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8.1 Requirements
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8.2 Suggested Workflow
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8.3 Submission Pack
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9.1 Prompt Packs
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9.2 Templates
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Course Complete: Share Your 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.
£49.00