Teaching and Learning with AI
Faculty can use AI tools like Copilot to provide worked examples, while students engage with AI for learning, reflection, and collaborative projects. The emphasis is on using AI to supplement rather than replace human interaction, critical thinking, and creativity. This approach ensures that AI supports dynamic, inclusive, and engaging learning environments that enhance student autonomy and active participation.
However, faculty and students should be aware of the risks associated with AI, such as generating misleading information, perpetuating biases, and raising privacy concerns. Teaching students to evaluate AI outputs critically, recognize biases, and understand ethical implications is crucial. Practical ideas for teaching AI risks include reviewing course AI policies, engaging in interactive exercises to identify biases, and using case studies of AI failures.
This chapter explores integrating AI into active learning through faculty-led modelling and student-centred activities, addressing risks and accessibility considerations.