What is AI?

There are many ways these are combined to create'intelligence'. One example is using bayesian networks, which collect data to make predictions (i.e. about what you might like to buy in an online shop, considering your past purchases and the season). The more it makes these predictions, the more accurate the predictions get, as it gathers more data and teaches itself to be more accurate. In a classroom this could be used to predict student achievement. A bayesian network could ask, "is the student confused or interested", then ask "did the student answer the previous question correctly or not", and give a predicted score based on this information.