Human-AI Product Design And Learning Experience
Design AI tools that people can understand, use and correct.
Explore Outline →AI For Education And Learning
Examine AI in teaching, feedback and assessment, and judge whether it improves learning for different learners.
AI Foundations is useful starting knowledge. Specialist terms will be explained through examples; coding is not required for the introductory course.
Planned Topics
- Learning Goals And Appropriate AI Uses
- Teaching And Feedback Workflows
- Assessment Validity And Learner Independence
- Accessibility And Learner Differences
- Privacy, Educator Judgment And Evidence
- Evaluate A Learning Intervention
Planned Practice And Learning Check
Practice: Develop an evidence-based case analysis: identify the problem, AI approach, supporting evidence, limitations, implementation needs and a justified next decision.
Learning Check: Explain which conclusions the evidence supports, what remains uncertain and what further validation or review is needed.
Teaching materials and assessments will be reviewed before lessons become available.
Related Courses
Post-Training, Adaptation, And Evaluations
Learn how models are adapted for particular tasks and checked before release.
Explore Outline →AI Security, Safety, And Governance
Identify ways an AI system can cause harm or be misused, and how organisations manage those risks.
Explore Outline →