Exploring the Teaching Reform of Middle School Ideological and Political Classroom Based on the Background of Internet

IF 3.1 Q1 Mathematics Applied Mathematics and Nonlinear Sciences Pub Date : 2024-01-01 DOI:10.2478/amns-2024-0154
Gang Deng, Qian Chen
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Abstract

The combination of Internet technology and education will continue to promote the change of the traditional education model, and will inevitably have a far-reaching impact on the reform of the education field. The wisdom classroom vector model is used to establish a secondary school classroom for ideological and political wisdom in this paper. In the smart classroom, students can recognize facial expressions by using GAN and tripartite consistency loss function. The ANM-CFM action recognition model is formed by the combination of the adaptive normalization module and covariance matrix fusion. For the effectiveness of the intelligent classroom of secondary school ideology and politics proposed in this paper with the related classroom behavior intelligent recognition method, the validation is carried out using example data. The results show that the first 200 frames in the smart classroom are dominated by the teacher’s lecture, and the students’ hand-raising interaction moments are mainly distributed between 200 and 400 frames. At the end of the teaching experiment, the classroom engagement level of the students in the experimental class was 9.037±0.532 points, the thinking level score of the experimental class exceeded 0.5 points compared with that of the control class, and the student’s satisfaction scores for the learning environment of the smart classroom were all over 2.4 points. The adoption of smart classrooms in the background of the Internet can realize the innovative reform of secondary school ideological and political classroom teaching and provide a new guarantee for improving the level of students’ thinking literacy.
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基于网络背景下的初中思想政治课堂教学改革探索
互联网技术与教育的结合,将不断推动传统教育模式的变革,势必对教育领域的改革产生深远影响。本文采用智慧课堂矢量模型建立中学思想政治智慧课堂。在智慧课堂中,学生可以利用 GAN 和三方一致性损失函数识别面部表情。自适应归一化模块与协方差矩阵融合相结合,形成 ANM-CFM 动作识别模型。为检验本文提出的中学思想政治智慧课堂与相关课堂行为智能识别方法的有效性,利用实例数据进行了验证。结果表明,智慧课堂前200帧以教师讲课为主,学生举手互动时刻主要分布在200-400帧之间。教学实验结束时,实验班学生的课堂参与度为(9.037±0.532)分,实验班学生的思维水平得分比对照班超出0.5分,学生对智慧教室学习环境的满意度得分均超过2.4分。互联网背景下智慧课堂的采用,可以实现中学思想政治课堂教学的创新改革,为提高学生的思维素养水平提供新的保障。
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来源期刊
Applied Mathematics and Nonlinear Sciences
Applied Mathematics and Nonlinear Sciences Engineering-Engineering (miscellaneous)
CiteScore
2.90
自引率
25.80%
发文量
203
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