Welcome to Thinking with AI. Curious about what the course involves? Take a look at the video below for an overview of the course and what it involves, and scroll just a little bit further for a sneak peek of the learning objectives for each lesson.

Course Learning Outcomes

By the end of Lesson 1, you'll be able to:

• Define key terms related to the science of learning
• Understand the biological and psychological processes of human learning
• Explain the difference between learning with AI and learning alongside AI
• Implement basic strategies for effective AI integration in learning activities

By the end of Lesson 2, you'll be able to:

• Define critical thinking and understand its components
• Recognise the potential impact of AI on critical thinking skills
• Develop strategies to promote critical thinking while using AI
• Create learning activities that encourage critical thinking with AI as a tool rather than a replacement
• Implement practical assessment approaches that make thinking visible

By the end of Lesson 3, you'll be able to:

• Understand what metacognition is and why it's critically important in the AI era
• Identify where AI can effectively support metacognitive development in students
• Recognise where AI can enhance teachers' ability to promote metacognition
• Implement specific examples of AI-enhanced metacognitive activities
• Determine when AI is not appropriate for metacognitive development

By the end of Lesson 4, you'll be able to:

• Understand cognitive offloading and distinguish between its beneficial and harmful forms
• Recognise the root causes of cognitive laziness beyond simple "cheating"
• Apply the Swiss cheese model to design learning experiences that promote active cognition
• Create assessment strategies that make thinking visible and reduce incentives for cognitive shortcuts
• Develop practical classroom approaches that help students use AI as a thought partner rather than a replacement for thinking