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Construction of New Model of Primary School Mathematics Education based on Computer Biological Intelligent Algorithm

机译:基于计算机生物智能算法的小学数学教育新模型的构建

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With the development of computer technology and network technology, the demand of various fields of modern education is increasing day by day. More and more attention has been paid to the intelligent algorithm used in primary school mathematics education. In this paper, based on the characteristics of computer biological intelligent algorithm, a new model of primary school mathematics education was constructed and analyzed. Through the contrast of intelligent algorithm, the advantages of biological intelligent algorithm were defined, including ant colony algorithm (ACO), particle swarm algorithm (PSO) and particle swarm algorithm (PSO). Then the total score model based on intelligent algorithm was analyzed. And according to the intelligent algorithm, the validity, the effective grouping and the seating arrangement of the cooperative learning teaching model were analyzed. And the mathematical teaching model of primary school based on biological intelligent algorithm was explored. By using the new model of primary school mathematics education, the changes of students' scores, comprehensive ability and students' emotion were discussed. Through theoretical and empirical analysis, theoretical support and model reference were provided for the new model of primary school mathematics education based on other intelligent algorithms.
机译:随着计算机技术和网络技术的发展,现代教育各个领域的需求日益增长。小学数学教育中使用的智能算法越来越受到关注。本文根据计算机生物智能算法的特点,构建并分析了小学数学教育的新模型。通过智能算法的对比,确定了生物智能算法的优势,包括蚁群算法(ACO),粒子群算法(PSO)和粒子群算法(PSO)。然后分析了基于智能算法的总分模型。并根据智能算法,分析了合作学习教学模型的有效性,有效分组和座位安排。探索了基于生物智能算法的小学数学教学模型。运用小学数学教学的新模式,探讨了学生分数,综合能力和情感的变化。通过理论和实证分析,为基于其他智能算法的小学数学教育新模型提供了理论支持和模型参考。

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