Recently, I have been investigating Artificial Intelligence (AI) and Machine Learning (ML) and possible applications of this technology to an educational context and beyond. Being creative with technology in an educational context (#hackademics) is something I am very passionate about.  Now that Google’s DeepMind / TensorFlow has been Open sourced at GitHub, it would be great to come up with a proof of concept of using ML /AI to help students stay in their Zone of Proximal Development (ZPD) by suggesting appropriate Learning pathways. I was very inspired by Demis Hassabis (@demishassabis) autumn Lecture

AI is still in its infancies and not very practical for secondary education. AI experiments as will give some traction to this movement and I am really very happy they are opening this technology to anyone with an idea. See other experiments here and other implications here. I can’t wait for summer recess to investigate this further and come up with a proof of concept.