Qian Liu, Fang Wang, Fanqiang Lin, Chao Yao, Yuedayi Wang
{"title":"Research on Differentiated Training Program of Primary School Mathematics Education Based on Artificial Intelligence","authors":"Qian Liu, Fang Wang, Fanqiang Lin, Chao Yao, Yuedayi Wang","doi":"10.1109/ICIET55102.2022.9779050","DOIUrl":null,"url":null,"abstract":"In recent years, there have been more and more discussions about the entry of personalized teaching into primary school classrooms. However, when scholars study the integration of elementary school mathematics education and personalized teaching, most of them focus on the cultivation of primary school students' comprehensive abilities, rather than precise discussion of a certain subject. Therefore, this article is driven by data, supported by artificial intelligence and big data technology, and focused on various directional courses as the main content. Aiming at the research on the differential training program of primary school mathematics education, it compares the difference between traditional primary school classrooms and primary school classrooms after the introduction of artificial intelligence. The Feasibility of combining elementary mathematics education with artificial intelligence is discussed from the aspects of training ideas, evaluation standards and data analysis methods. This research is expected to improve the mathematics teaching level of elementary schools and strengthen the accuracy and scientificity of the mathematics level of primary school students. Inject new vitality into the exploration of the combination of primary school mathematics teaching and big data, and provide directional help for the exploration of primary school teaching mode under the background of artificial intelligence.","PeriodicalId":371262,"journal":{"name":"2022 10th International Conference on Information and Education Technology (ICIET)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 10th International Conference on Information and Education Technology (ICIET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIET55102.2022.9779050","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In recent years, there have been more and more discussions about the entry of personalized teaching into primary school classrooms. However, when scholars study the integration of elementary school mathematics education and personalized teaching, most of them focus on the cultivation of primary school students' comprehensive abilities, rather than precise discussion of a certain subject. Therefore, this article is driven by data, supported by artificial intelligence and big data technology, and focused on various directional courses as the main content. Aiming at the research on the differential training program of primary school mathematics education, it compares the difference between traditional primary school classrooms and primary school classrooms after the introduction of artificial intelligence. The Feasibility of combining elementary mathematics education with artificial intelligence is discussed from the aspects of training ideas, evaluation standards and data analysis methods. This research is expected to improve the mathematics teaching level of elementary schools and strengthen the accuracy and scientificity of the mathematics level of primary school students. Inject new vitality into the exploration of the combination of primary school mathematics teaching and big data, and provide directional help for the exploration of primary school teaching mode under the background of artificial intelligence.