From elementary classrooms to college labs, AI is changing how students learn STEM. It offers personalization, collaboration, and efficiency, but it also risks skill loss, academic dishonesty, and teacher frustration. Context and guidance are key. When paired with training, structured use, and attention to ethical issues, AI can evolve from a destabilizing force into a scaffold for critical thinking and real-world readiness. It’s an urgent issue, because AI is developing so fast that the changes it can bring could well escape our ability to manage them.
Read MoreK-12 Learning by Engineering Design
The most valuable lesson students can get from K-12 engineering? It could be the design process, a template for critical thinking, transferable to almost any problem-solving challenge.
Read MoreFailing Better with K-12 Engineering
Failure gets a bad rap in education. As part of an approach to K-12 engineering, failure can provide unique lessons for teachers and students alike.
Read MoreHacking the NGSS Engineering Standards
K-12 standards are starting to include engineering, the missing "E" in STEM. Educators are going to have to adapt. Our hack will help get people started on the way to STEM integration that includes all four fields.
Read More