Affiliations: School of Education Science, Henan University, Kaifeng, Henan, China
Correspondence:
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Corresponding author. Shengnan Wang, School of Education Science, Henan University, Kaifeng, Henan, 475000, China. E-mail: [email protected].
Abstract: Smart education is one of the main applications of Smart cities which requires artificial intelligence-based models during the education process. Optimizing the educational contents to match the student’s capabilities and backgrounds is one of the core tasks in the smart educations. To improve the optimization of an education system, a data mining algorithm is used to classify and summarize the education data and improve the accuracy of teaching content. An optimization and updating scheme is put forward from the algorithm flow and evaluation model, and an adequate evaluation model is established by effectively evaluating the developing state of wisdom education. In the test of intelligent education model, the efficiency of AI education and the data accuracy of the data mining algorithm are tested. The test results show that the integration of AI can improve the efficiency of learning and teaching, and make the teaching content more accurate, which is worth to further promoting.
Keywords: AI technology, intelligent education mode, practicality, data mining
