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Interactive Teaching Path Analysis of Higher Vocational Ideological and Political Courses Based on Artificial Intelligence Algorithms

机译:基于人工智能算法的高等职业思想政治课程互动教学路径分析

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In today's society, science and technology are the primary productive forces, and the reform of any mode can not be separated from science and technology, especially in education and teaching. Most vocational college students lack good learning habits, poor understanding of classroom knowledge, and are not good at solving all kinds of difficulties encountered in learning independently. In order to solve these problems, an interactive teaching path analysis method for ideological and political courses in Higher Vocational Colleges Based on artificial intelligence algorithm is proposed. The objective function of teaching path analysis is established and the constraints are determined. Analyse and use artificial intelligence algorithm to establish interactive teaching path research model. The experimental results show that the interactive teaching path analysis method based on artificial intelligence algorithm has higher practicability than the traditional interactive teaching path research method of Ideological and political course in Higher Vocational colleges, the interactive teaching path of Ideological and political courses in higher vocational colleges can be accurately analyzed.
机译:在今天的社会中,科学和技术是初级生产力,任何模式的改革都不能与科学和技术分开,特别是在教育和教学中。大多数职业大学生缺乏良好的学习习惯,对课堂知识的理解差,并不善于解决独立学习中遇到的各种困难。为了解决这些问题,提出了基于人工智能算法的高职院校思想政治课程的互动教学路径分析方法。建立了教学路径分析的目标函数,并确定了约束。分析和使用人工智能算法建立互动教学路径研究模型。实验结果表明,基于人工智能算法的互动教学路径分析方法具有比高职院校的思想政治课程的传统互动教学路径研究方法,高职院校思想政治课程的互动教学路径具有更高的实用性可以准确分析。

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