Using AI in Education

Artificial intelligence is rapidly becoming an integral part of everyday study practices, but using AI effectively requires more than just prompting tools. This workshop introduces participants to evidence-based learning science frameworks and demonstrates how AI can support deep learning, critical thinking and self-regulated study habits rather than replace them. 
 
Through hands-on experimentation, guided reflection and discussion of real-life study scenarios, participants will explore the advantages and disadvantages of AI-supported learning. They will learn to recognise risks such as cognitive outsourcing, shallow processing and reduced retrieval effort, and will develop strategies to maintain agency, thinking skills and academic integrity when using AI tools. 
 
By the end of the course, participants will be able to design purposeful AI prompts that align with proven learning techniques, such as spaced retrieval, the Feynman technique, blurting and interleaving, while ensuring that AI enhances rather than undermines their learning processes.