The concept advocated by AI education is: thousands of people. That is to say, if you have received education combined with artificial intelligence, then all your study records and answer records are collected, analyzed by artificial intelligence algorithm, and then statistically analyzed by your test paper answer rate and correct rate, you can know which topics you are best at at present, that is to say, you have learned better knowledge. Next time AI will focus on topics and knowledge that you are not good at, that is, related knowledge that you often make mistakes. The machine can remember everyone's data, find the learner's shortcomings according to the analysis of everyone's data, and coach him in a targeted manner. So as to improve learners' ability quickly and pertinently.

Therefore, AI can make everyone's learning progress uneven, with strong learning ability and fast speed. AI can automatically match the corresponding knowledge. If you learn slowly, then AI will give you slower knowledge. This can improve the efficiency of education, and people with strong learning ability do not need to accommodate those with slow learning.

feasibility

The teaching concept advocated by this AI is very feasible and relatively easy to realize. In fact, just like today's headline algorithm recommendation, I will recommend it to you if you like anything. Because you often watch certain news, the headlines will focus on pushing more such news to you. So, by the same token, learning is the same. If you don't answer a certain kind of questions well, you will think that you are poor in this field. The next time you push learning knowledge, you will focus on pushing the types of knowledge points to you.