Learning outcomes
You will develop a strong foundation in AI within educational contexts, exploring personalized and adaptive learning, inclusive education, learning analytics, digital assessment, leadership, ethics, and policy.
Practical components
Learning is reinforced through interactive workshops, guest lectures, problem-based learning, and exposure to real-world AI tools used in modern learning environments. You will build the skills to design AI-enhanced teaching strategies grounded in data.