• What are the judgements which students are making as they use AI?

• How will universities ration internal access to LLMs?

• The rapid normalisation of using LLMs for emotional support

• Why prompting should not be our focus when teaching students about AI

• Why is it a bad thing to be dependent on LLMs?

• AI in higher education is going to get worse before it gets better

• Chatbots vs inline automation and their respective implications for students

• The OU Framework for the Learning and Teaching of Critical AI Literacy Skills

• Using small LLMs in teaching and learning

• What impact is the AI crisis having on public perception of a degree’s value?

• How is metacognitive laziness with AI mediated by groups?

• The ethical reasoning of students about AI is an untapped resource

• Helping students out of AI-spirals

• What are the conditions which make it possible to learn with AI?

• Generative AI and metacognitive laziness

• Generational hostility to AI

• The three structural trends shaping the AI crisis in higher education

• What do we mean when we talk about a scaffold for learning?

• The second wave of the AI and assessment crisis

• What is the problem to which cognitive outsourcing is the solution?

• We need structural changes to assessment rather than discursive changes

• There is no solution to the AI and assessment problem

• What does it mean for students to use AI in active rather than passive ways?

• What do staff need to be ready for AI integration? 

• Constructive alignment and AI-integration into teaching and learning

• The pedagogical risks of generative AI: the problem of cognitive outsourcing