I wanted to start a broader practical use cases thread around AI for Teachers.
A useful angle is productivity, but it also connects with limitations. Different tools and workflows can produce very different results even when the goal is similar.
It would be interesting to compare practical examples, experiments, setups, or lessons that show where AI for Teachers is genuinely useful and where it still needs improvement.
A useful angle is productivity, but it also connects with limitations. Different tools and workflows can produce very different results even when the goal is similar.
It would be interesting to compare practical examples, experiments, setups, or lessons that show where AI for Teachers is genuinely useful and where it still needs improvement.