Real world problems don't have perfect, textbook answers. Real world solutions have downsides as well as upsides. And complex, multifaceted problems such as those we are trying to tackle with AI and Data Science are going to need complex, multifaceted, and carefully tested solutions.
When kids see STEM skills as tools they can use to change the world, we're both empowering them to create positive change in their communities, and putting them in the drivers seat of the future. This is how we shift the numbers. This is how we get real diversity into STEM. And, incidentally, how we create critical, creative thinkers who can solve real problems.
The final episode of Raising Heretics: The Podcast! Education has really failed to evolve. Sure, we’ve tweaked around the edges, but fundamentally my kids are still experiencing classrooms the way I did, the way my parents did, the way their parents did, and on down the ages. We need to make change. So how do we make this happen? Support Teachers, Lobby Governments, Buy and share Raising Heretics: Teaching Kids to Change the World, and donate to ADSEI at givenow.com.au/adsei
People often assume that Data Science in Schools has to be secondary school only, because how could primary kids do Data Science? The truth is that Data Literacy and Analysis skills can be built into the curriculum from as young as 5 years old. Here's how.
In the beginning, there were toys. The fundamental message, which underpins all of the issues with the toy approach to teaching technology, was that the students could not see the point of what they were supposed to be learning. And kids can be quite pragmatic – when they can’t see any point to what they are doing, they don’t do it. So what happened when I switched to teaching programming and critical thinking skills using data science with real datasets? Find out in Episode 8 of Raising Heretics: The Podcast.