In the era of artificial intelligence, traditional teaching models can be replaced by intelligent teaching models, thereby effectively improving the efficiency of ideological and political teaching. This paper proposes a multi-frame sliding window double-threshold clutter map CFAR algorithm and analyzes its detection probability and false alarm probability formula. Moreover, the ideological and political teaching system based on artificial intelligence and improved machine learning is designed based on the B/S model. In addition, this article analyzes the practical teaching performance of the model combined with actual teaching and analyzes the teaching effect of the model in ideological and political education. Through experimental research, it can be seen that the performance of the experimental group is significantly higher than that of the control group, which verifies that the algorithm constructed in this article has a certain practical effect.

中文翻译：

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基于人工智能和改进机器学习算法的思想政治理论课教学模式

在人工智能时代，传统的教学模式可以被智能教学模式所取代，从而有效提高思政教学的效率。提出一种多帧滑动窗口双阈值杂波图CFAR算法，并分析其检测概率和虚警概率公式。此外，基于B/S模型设计了基于人工智能和改进机器学习的思想政治教学体系。此外，本文结合实际教学分析了该模式的实践教学效果，分析了该模式在思想政治教育中的教学效果。通过实验研究，