3.1 artificial intelligence educati

3.1 artificial intelligence education is currently in the exploration stage, with great development space. It can create more powerful education applications by organically integrating the existing big data, cloud computing, brain like intelligence, VR and other technologies. Based on the second part of the in-depth analysis of the problems of artificial intelligence education, combined with the current technical capabilities, the following nine development suggestions are proposed. A large number of semi-structured or non structural problems are introduced, and the cultivation of high-level thinking ability is still focused on helping students solve structural problems. The main purpose of AI education is to cultivate students' low-level thinking ability, that is, three abilities of memory, understanding and application in Bloom's cognitive goal classification. In the future, the intelligent age needs to have the ability of high-level thinking, that is, the ability of analysis, evaluation and innovation. Based on the training of structural problems, a large number of semi-structured or non structural problems should be introduced to cultivate high-level thinking ability in the process of solving problems. The cognitive assistant module is implanted to build a "scaffold" for the development of thinking ability.