Assessment is all down to this simple number. Objectivity guaranteed. But if there is a correlation between socioeconomic status… if girls are driven out of particular subjects by the perception that they are not suited to them… if rural kids don’t have access to the same range of subjects… if some schools don’t have great teachers or support structures… then what we have is the pretence of objectivity and fairness, rather than actual objectivity and fairness.
It doesn’t matter what technology you teach, when you’re teaching Data Science. I don’t care whether you use Python, R, spreadsheets, or stacking blocks to make graphs and analyse your data. What matters, above all else, is that you teach your students to ask critical questions about the data. How was it collected? What are the definitions you used? How do we know the definitions are valid? What other definitions could we use, and how would that change the data?
An amazing conversation with Neuroscientist Associate Professor Nic Price from Monash University, who has a lot to say about the way we teach science, how we can understand the brain, and how we need to get comfortable with uncertainty. Check it out!
Imagine, for a moment, a society driven by evidence. By data. A society that uses science, reason, and compassion to figure out the way forward. How would that be different from the world we see today?
Welcome to Raising Heretics: Teaching Kids to Change the World, The Podcast! Raising Heretics, the book, is a blueprint for an evidence based world, and a radically more engaging and effective education system. What would an evidence based world look like? How can we get there? What’s wrong with the way we teach science and… Continue reading Raising Heretics: The Podcast!