Generative AI tools are increasingly moving beyond static text responses towards richer, interface-driven explanations. In this post, we explore Gemini’s Dynamic View feature using a conceptually demanding technical question about transformer architectures. Rather than producing a conventional paragraph-style summary, Gemini generated an interactive, visually structured learning environment that allows
What if philosophy students could go beyond reading about Kant and Hume — and instead step into their minds? What if, instead of summarising the Critique of Pure Reason, they became Hume and challenged Kant directly on causality, synthetic a priori knowledge, or the limits of metaphysics? This blog introduces a
Gemini 2.0 Flash proves to be a highly effective model for interpreting Python code in educational contexts. This post demonstrates how a concise and well-formulated prompt enables the model to generate clear, step-by-step explanations of a Jupyter Notebook. Its performance suggests that Gemini 2.0 Flash is a practical
University lecturers can improve curriculum planning by using GenAI to create detailed assignment briefs quickly and effectively. This blog introduces a custom prompt that guides GenAI in producing a ready-to-use "AI and Ethics" group presentation brief. It shows how it saves time, incorporates real ethical dilemmas, and suggests
GenAI can be efficiently used as a learning assistant, as demonstrated by this case study. This GenAI prompt assists university students in preparing for exams by targeting a specific topic from their lecture notes. It extracts the relevant section and creates focused revision questions to support active recall and understanding.
