
Hands-On Learning
Apply generative AI to real research tasks with guided prompts, use cases, and interactive activities.

Research-Focused Instruction
Learn from in-depth, interdisciplinary examples rooted in academic and applied research practice.

Flexible, Self-Paced Study
Work through structured lessons at your own pace, with tools to support your current research projects.
About the Course
Our Generative AI for Teaching, Learning & Academic Support course is carefully designed to help educators harness AI as a practical, thoughtful partner in education. Whether you're new to AI or looking to enhance your current approach, this course offers structured guidance and hands-on strategies across curriculum planning, personalised support, assessment, and engagement. Join us and develop future-ready teaching skills grounded in pedagogical integrity.

Meet Your Instructor
I'm Jonathan Wong, a Lead AI Scientist and researcher specialising in medical diagnostics, data science, and advanced research technologies. My work focuses on applying generative AI and machine learning to improve healthcare outcomes and support complex research workflows. In this course, I share practical tools, ethical strategies, and real-world insights developed through applied experience in research and development. Whether you're just beginning or looking to deepen your skills, you'll find structured guidance to help you use AI effectively, creatively, and responsibly in your research practice.
Curriculum
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1
Introduction
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7.1 AI for Creating Course Outlines and Lesson Plans
- 7.1.1 Using Generative AI to Create Structured Course Outlines for Academic Subjects Free preview
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7.1.2 AI-Driven Design of Lesson Plans Tailored to Student Learning Outcomes
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7.1.3 Automating the Creation of Course Syllabi with AI Assistance
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7.1.4 How to Adapt AI-Generated Materials for Different Educational Levels (Undergraduate to PhD)
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7.1.5 Integrating AI-Driven Content into Active Learning Environments
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7.1.6 Key Takeaways
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7.1.7 Knowledge Check
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7.1.A Practical Use Cases
- 7.1.B Learning Activities Free preview
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7.1.C Prompt Templates
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7.1.D Innovative Use Cases
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7.1.E Reflection & Discussion
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7.1.F Productivity Tips
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7.2 AI as a Personalised Learning Assistant for Students
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7.2.1 Using AI to Create Personalised Learning Paths for Individual Students
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7.2.2 How AI Assistants Can Adapt Content Based on Student Progress and Understanding
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7.2.3 Enhancing Student Engagement and Retention with AI-Supported Education
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7.2.4 AI Tools That Assist in Providing Real-Time Feedback on Student Performance
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7.2.5 Using AI for Targeted Interventions in Student Learning and Assessment
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7.2.6 Key Takeaways
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7.2.7 Knowledge Check
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7.2.A Practical Use Cases
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7.2.B Learning Activities
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7.2.C Prompt Templates
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7.2.D Innovative Use Cases
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7.2.E Reflection & Discussion
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7.2.F Productivity Tips
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7.3 Using AI for Feedback and Assessment Design
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7.3.1 AI-Powered Feedback Systems for Evaluating Student Assignments
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7.3.2 How AI Assists in Designing Formative and Summative Assessments
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7.3.3 Generating Automated Quizzes, Exams, and Assessments Using AI
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7.3.4 Ensuring Fairness and Accuracy in AI-Based Grading Systems
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7.3.5 Using AI to Offer Personalised Feedback on Student Work to Improve Performance
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7.3.6 Key Takeaways
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7.3.7 Knowledge Check
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7.3.A Practical Use Cases
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7.3.B Learning Activities
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7.3.C Prompt Templates
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7.3.D Innovative Use Cases
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7.3.E Reflection & Discussion
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7.3.F Productivity Tips
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7.4 AI for Generating Discussion Prompts and Case Studies
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7.4.1 How to Generate Discussion Prompts that Encourage Critical Thinking with Generative AI
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7.4.2 AI's Role in Creating Interactive Case Studies for Active Learning Environments
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7.4.3 Customising AI-Generated Prompts and Case Studies for Specific Courses or Topics
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7.4.4 Using AI to Simulate Real-World Scenarios and Design Problem-Solving Activities
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7.4.5 How AI Helps Generate Dynamic Learning Materials Based on Course Progress
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7.4.6 Key Takeaways
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7.4.7 Knowledge Check
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7.4.A Practical Use Cases
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7.4.B Learning Activities
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7.4.C Prompt Templates
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(Included in full purchase)
7.4.D Innovative Use Cases
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(Included in full purchase)
7.4.E Reflection & Discussion
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(Included in full purchase)
7.4.F Productivity Tips
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7.5 Balancing AI Use in Teaching Without Over-Reliance
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7.5.1 Strategies for Integrating AI into Teaching Without Compromising Human-Led Pedagogy
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7.5.2 The Benefits of a Balanced Approach to AI in Education and Traditional Methods
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7.5.3 How to Foster Critical Thinking Despite the Use of AI in the Classroom
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7.5.4 Maintaining the Role of the Educator in an AI-Enhanced Learning Environment
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7.5.5 Ethical Considerations in Using AI to Automate Teaching Tasks
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7.5.6 Key Takeaways
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7.5.7 Knowledge Check
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7.5.A Practical Use Cases
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(Included in full purchase)
7.5.B Learning Activities
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(Included in full purchase)
7.5.C Prompt Templates
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(Included in full purchase)
7.5.D Innovative Use Cases
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(Included in full purchase)
7.5.E Reflection & Discussion
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(Included in full purchase)
7.5.F Productivity Tips
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Final Lesson Message
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Course Complete: Share Your Feedback
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8
Feedback
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End of Course Survey
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Unlock Your Research 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