As an educator who frequently uses Plickers to track student understanding in real-time, I’ve noticed that while instant feedback is extremely helpful, it could be even more powerful with Granny Game adaptive questioning powered by AI.

Imagine if Plickers could automatically adjust the difficulty or type of question based on each student’s previous responses. This would not only make classroom assessments more dynamic but also provide personalized insights for both teachers and students.

For example, if a student consistently answers a concept correctly, Plickers could serve them a more advanced question on the same topic, while another student struggling with it would receive a simpler, reinforcing one. This adaptive layer could help teachers save time while keeping engagement high.

I’d love to hear what others think — would AI-driven adaptive feedback be something valuable for your classroom? And if so, what would be the most effective way to integrate it without complicating the current Plickers workflow?