Vivek Kohli

Really liked the hands-on structure for this age group. Kids get to gather examples, train models, and watch results in real time, which made learning about AI approachable and fun.

Fictional example — As a parent, I found the single 55-minute format a bit tight for trying everything from image collection to live webcam testing; my child said it felt rushed at times. For families new to browser-based AI tools, a slightly longer session or a brief follow-up resource would help; this is a fictional

Fictional example — As a parent, I appreciated that this single-session, 55-minute workshop walks kids through building and training an image classifier with Google's Teachable Machine. My child enjoyed collecting photos for three labeled categories and testing the model with the webcam; it felt hands-on and age-appropriate. A short take-home guide for practicing afterward would have made it even more useful.

Fictional example — I liked that the class focuses on active learning: students gather their own training images, train a model in the browser, and see how changing examples affects accuracy. The age‑appropriate explanation of what machine learning and training data are seemed to spark my child’s curiosity and made a potentially abstract topic tangible.