Research on mathematical teaching innovation strategy and best practices based on deep learning algorithm

Li Zhen
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引用次数: 5

Abstract

The basic aim of this research study is determine the Research on mathematical teaching innovation strategy and best practices based on deep learning algorithm. This research study based on primary data analysis. The mathematical teaching innovation strategy consider as independent variable the best practices role play as mediator and the deep learning algorithm is main dependent variable. for measuring the research study used specific questions related to the indicator included open ended and closed ended questions. This research study conduct in china these data collected from teaching staff, education departments of universities and colleges, also that data collected from senior students how have knowledge about mathematical innovation strategy. For determining the result used smart PLS software and run different results included indicator correlation, discriminant validity, smart PLS Algorithm model, and total effect between dependent, independent variables and mediator variables. according to the overall research result founded that the mathematical teaching innovation strategy shows that positive relation with best practices its shows that significant relation between them. The mathematical teaching innovation strategy shows that negative but significant relation with deep learning.
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基于深度学习算法的数学教学创新策略及最佳实践研究
本研究的基本目的是确定基于深度学习算法的数学教学创新策略和最佳实践研究。本研究以初步数据分析为基础。数学教学创新策略以最佳实践角色为自变量,以深度学习算法为主要因变量。为了衡量研究使用了与指标相关的具体问题,包括开放式和封闭式问题。本研究在中国进行了这些从教师、高校教育部门收集的数据,以及从高年级学生那里收集的关于数学创新策略知识的数据。为了确定结果,使用智能PLS软件并运行不同的结果,包括指标相关性、判别有效性、智能PLS算法模型以及因变量、自变量和中介变量之间的总效应。根据总体研究结果发现,数学教学创新策略与最佳实践之间呈现出正相关关系,并显示出二者之间的显著关系。数学教学创新策略与深度学习呈现出负而显著的关系。
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