A.I. hallucinations: when it invents realities
AI can generate erroneous information or "hallucinations", with repercussions in critical sectors such as healthcare, justice and education. To mitigate these risks, we need to improve training data, design accurate prompts and encourage AI self-assessment. Education and responsible use are essential to limit these AI drifts.
Educational myths: only useful if you don't believe them!
Pedagogical "recipes" falsely supported by vague or even non-existent studies have undergone impressive growth. Driven by a graphic rhetoric built on pyramids, concentric circles and round-figure statistics, educational and managerial publications have relayed all manner of models. But now, after the fashion for pedagogical myths, the trend is to denounce them.
Forget to learn better?
Since Bachelard, Serres and Astolfi, we know that teaching is not filling an empty box, nor replacing one knowledge with another. Old representations resist! Teaching is often a matter of bringing out what needs to be overcome, understanding what sticks in order to finally teach the knowledge and know-how useful to learners. Actions based on the concept of "epistemological obstacle" provide us with useful leads.
The warning signs of a tipping point
What is the tipping point that leads us to go outside the plan or activate exceptional procedures?
From the Jungian persona to design personas
A look at Carl Jung's archetypes to understand the limits of the personas proposed by design thinking