In this fifth episode of the RAILect series on the IDEMS podcast, titled "Looking to the Future", Lily and David discuss the potential trajectories of AI advancements in education. They categorise the future into four broad areas: tasks that AI will never achieve perfectly, tasks that are a matter of "when" not "if", transformative innovations on the horizon, and areas with substantial unknowns. They discuss examples such as the limitations of AI in detecting AI-generated content, the promise of AI-based personal tutors, and the uncertainties surrounding AI's ability to balance historical accuracy with diversity.

In this fourth episode of the RAILect series on the IDEMS podcast, titled "Changing the Question", we dive into how AI can revolutionise education by shifting the focus from traditional methods to fostering critical thinking skills. Lily and David discuss the importance of adapting questions in a way that leverages AI capabilities, ensuring students develop deeper analytical skills and greater ownership of their work. They explore various case studies and examples of AI applications in education, highlighting the potential of AI to enhance human intelligence and creativity.

In this bonus episode for the Responsible AI for Lecturers (RAILect) series, we are pleased to introduce guest speaker Helen Crompton, who shares her research and teaching experiences focused on AI. Helen and David suggest productive ways that lecturers and students can engage with AI to support and enhance their skills and teaching effectiveness.

Welcome to the third episode of our five-part series on Responsible AI for Lecturers (RAILect). In this episode, Lily and David discuss the current state of education, and the potentials that AI creates for the future. They look at what it means to treat AI as a friend for lecturers, and then what it means to treat it as a foe, using case studies. They then question how lecturers can productively approach teaching given the current AI context.

Welcome to the second episode of our five-part series on Responsible AI for Lecturers (RAILect), brought to you by the IDEMS podcast. In this episode, Lily and David aim to demystify data science for lecturers across various disciplines. They use the Post Office to illustrate the power of AI systems, and then look at other case studies to highlight some limitations of AI systems.

Description Welcome to the first episode of the RAILect podcast series! In this episode, Lily Clements and David Stern dig into “Generative AI”, exploring its impact on content creation and its accessibility to everyday users, highlighting its applications in text, code, and imagery. Lily and David emphasise the importance of understanding and utilising generative AI […]