When I'm trying to get a piece of work out the door, I can often be heard muttering to myself "Perfect is the enemy of done." Because the urge to fuss, and edit, and polish until not a blemish can be seen is absolutely fatal to the need to get something finished. I know that,… Continue reading What do we value?
Tag: education
From Hypnotised to Heretic: Immunising Society Against Misinformation.
What we can build this way is a world where policy is evidence based. Where we make data informed decisions, while understanding that the data isn’t perfect. Where kids are empowered to learn all of the skills they need to solve problems in their own communities. Where technological solutions are rationally evaluated, rather than uncritically worshipped.Â
The Place of Women in Computing
If we assume girls aren't capable of doing computing, we won't give them the opportunity to learn computing.
Teacher Guide to AI – please help!
We must educate ourselves, and our children, to be in a position to be rationally sceptical of technological hype. As a society, we need some inoculation against magical technological thinking. But where do teachers and schools start? Without a background in Artificial Intelligence, how can we expect teachers to inoculate our kids against the hype? How do we teach them to be more savvy and compassionate consumers and makers of technology? That’s where we come in. Laura Summers from Debias AI and Dr Linda McIver from the Australian Data Science Education Institute are putting together a teacher’s guide to AI, but we need your help to make sure the guide is exactly what you need. To that end we’ve put together a survey. We would love it if you could fill it out and share it with all of your teacher friends.
Learning to be wrong
When you penalise wrong answers, you build in a sense of shame and failure to being wrong that most people never get over. It leads to cheating, to covering up of mistakes, and to avoiding doing things where being wrong is a possibility. How about, instead, we make it the default that you assume that you will be wrong in numerous ways. We make it a fundamental part of the process to figure out those ways, and even reward the finding of those mistakes. In doing so, we give people the freedom to explore, to try new things, and, above all, to learn without fear.