From Data to Discovery: Lessons Learned from Hosting AI Competitions in EdTech
As a young edtech startup, we at Eedi found ourselves collecting a lot of learning data, specifically around misconceptions in mathematics, and we wanted to see whether that data could be used to help us make predictions about students’ learning, ultimately enhancing our solution. I had a rusty background in Bayesian statistics and tried applying a few methods, but I suspected that Machine Learning methods might be more appropriate, and I was not an expert.