Research on Differentiated Training Program of Primary School Mathematics Education Based on Artificial Intelligence

Qian Liu, Fang Wang, Fanqiang Lin, Chao Yao, Yuedayi Wang
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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.
基于人工智能的小学数学教育差别化训练方案研究
近年来,个性化教学进入小学课堂的讨论越来越多。然而,学者们在研究小学数学教育与个性化教学的整合时,大多着眼于小学生综合能力的培养,而不是对某一学科的精确讨论。因此,本文以数据为驱动,以人工智能和大数据技术为支撑,聚焦各类定向课程为主要内容。针对小学数学教育差别化训练方案的研究,比较了传统小学课堂与引入人工智能后的小学课堂的差异。从培养思路、评价标准和数据分析方法等方面探讨了基础数学教育与人工智能相结合的可行性。本研究旨在提高小学数学教学水平,增强小学生数学水平的准确性和科学性。为小学数学教学与大数据结合的探索注入新的活力,为人工智能背景下小学教学模式的探索提供方向性帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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