Application of Bayes algorithm in classroom management system

Bihui Cheng, Dongdong Ding
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Abstract

The difference classification teaching based on Bayes algorithm is on the basis of the needs of students, and through reasonable analysis, students are taught in accordance with their aptitude. In this paper, on account of the characteristics of students in a higher vocational college, multidimensional classification attributes are established, and naive Bayes classification algorithm is applied to some classes for classification teaching experiments. Through the analysis of the teaching effect, the application of difference classification teaching based on naive Bayes algorithm has achieved certain results, which effectively solves the problems of "not enough to eat", "too much to eat" and not reaching the standard in the current teaching, and also effectively stimulates the learning interest and improves the students' cooperation ability. This provides data support for the theoretical research and practical teaching of differential teaching in the future.
贝叶斯算法在教室管理系统中的应用
基于贝叶斯算法的差异分类教学是以学生的需求为基础,通过合理的分析,因材施教。本文针对高职院校学生的特点,建立了多维分类属性,并将朴素贝叶斯分类算法应用于部分班级进行分类教学实验。通过对教学效果的分析,基于朴素贝叶斯算法的差异分类教学的应用取得了一定的效果,有效地解决了目前教学中“吃不饱”、“吃太多”、不达标的问题,也有效地激发了学生的学习兴趣,提高了学生的合作能力。这为今后差别化教学的理论研究和实践教学提供了数据支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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