AI

AI

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The Audience Makes the Story
The Audience Makes the Story
Puppetry as Dream Analysis for AI Anxiety This is a discussion between Camila Galaz, Emma Wiseman, and Eryk Salvaggio, collaborators behind an experimental workshop linking puppetry and generative AI that took place at RMIT in Melbourne this summer at the invitation of Joel Stern and the National Communications Museum. We met online to discuss what emerged from Camila's workshop: personal imaginations of AI made physically manifest into puppets.  Earlier this year, we spent five days in resid
·mail.cyberneticforests.com·
The Audience Makes the Story
Students don’t need to be exposed to generative AI in elementary school or middle school any more than a kid learning the fundamentals of racing driving karts needs to practice in an F1 car.
Students don’t need to be exposed to generative AI in elementary school or middle school any more than a kid learning the fundamentals of racing driving karts needs to practice in an F1 car.
Students don’t need to be exposed to generative AI in elementary school or middle school any more than a kid learning the fundamentals of racing driving karts needs to practice in an F1 car. Over the last few months, we’ve gotten hooked on Formula 1 in the Brake household. Because I can’t help myself, I’ve been thinking about the pedagogy of training F1 drivers and what it might say about teaching more generally. A lot of what I see about the need for “AI literacy” in K-12, feels to me like the equivalent of putting a kid in an F1 car. It’s not that the kids won’t ever be ready to handle the power, but it’s just foolish to think that it won’t take a lot of practice and hard work to build the fundamentals before they’re ready. The training pipeline for a future F1 driver has a very well-calibrated sequence from karting to Formula 4, 3, 2, and then 1. At each stage, the power of the machine is matched to the intended learning goals and the maturity of the driver. The karts are slow (comparatively), but they help a driver to build intuition and skill on finding a line, timing breaking points, and managing traction, and attending to the current status of the car. Here’s where I can hear the objection: “well, this is why we should expose students to AI with significant guardrails when they are young—to help them to build the necessary skills to thrive with AI.” But this fundamentally misunderstands what it takes to use AI well. Yes, we need to learn how AI works and how best to think about using it in our work. But this is something like learning where the pedals are on the F1 car, not learning the fundamentals of how to drive a race car. What we need to focus on in education is helping students to build the character and the fundamental skills that will enable them to thrive when they are exposed to the intelligence amplifier of generative AI. This process takes a lot of hard work and don’t look nearly as cool as driving the car during qualifying or on race day. It’s the workouts to stay in tip-top physical shape, the drills to train your reflexes, the hours in the simulator to hone all the little parts of your race craft. Students don’t need to be exposed to generative AI when they’re developing these skills any more than a kid learning how to kart needs to drive an F1 car. What they need is a space where the tools they are provided can help them to focus on the truly fundamental and foundational skills that will ultimately enable them to pursue their craft at the higher level. They need to learn how to think, write, read closely, communicate with others, accept criticism, persevere when the going gets tough, stoke their curiosity to dig into new areas of interest.
·linkedin.com·
Students don’t need to be exposed to generative AI in elementary school or middle school any more than a kid learning the fundamentals of racing driving karts needs to practice in an F1 car.
Latest IJEI article is out! “Exploring the nexus of academic integrity and artificial intelligence in higher education: a bibliometric analysis”
Latest IJEI article is out! “Exploring the nexus of academic integrity and artificial intelligence in higher education: a bibliometric analysis”
The International Journal for Educational Integrity has published a new significant article analyzing the intersection of academic integrity and artificial intelligence in higher education. Conduct…
·drsaraheaton.com·
Latest IJEI article is out! “Exploring the nexus of academic integrity and artificial intelligence in higher education: a bibliometric analysis”
Designing Civic Learning for AI Justice — Civics of Technology
Designing Civic Learning for AI Justice — Civics of Technology
Civics of Technology Announcements Next Tech Talk: The next Tech Talk will be held on September 2 at 8:00 Eastern Time. Register on our events page. Come join our community in an informal discussion about tech, education, the world, whatever is on your mind! Conference Recordings: Missed a s
·civicsoftechnology.org·
Designing Civic Learning for AI Justice — Civics of Technology