基于模糊集变换算法的智能课堂教学效果评价方法

Q2 Social Sciences

International Journal of Sustainable Development Pub Date : 2023-01-01 DOI:10.1504/ijsd.2023.134412

Liya Mo

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引用次数: 0

摘要

针对传统教学效果评价方法中存在的评价精度低、指标定量误差大、评价时间长等问题，设计了基于模糊集变化算法的大学生英语阅读教学课程智能课堂教学效果评价方法。首先，确定智能化课堂下大学生英语阅读教学效果的评价指标。其次，计算指标最大特征所对应的特征向量，并对特征向量进行量化;最后，基于模糊集变换算法，构建模糊评价矩阵，确定智能课堂教学质量等级，构建智能课堂教学效果评价模型，获得评价结果。实验结果表明，采用该方法可以有效提高智能课堂教学评价的准确性。

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Evaluation method of intelligent classroom teaching effect based on fuzzy set change algorithm

In order to solve the problems of low evaluation accuracy, large quantitative error of indicators, and long evaluation time in traditional teaching effect evaluation methods, evaluation method of intelligent classroom teaching effect based on fuzzy set change algorithm was designed for college students' English reading teaching courses. Firstly, determine the evaluation indicators for the effect of English reading teaching for college students in intelligent classrooms. Secondly, the feature vector corresponding to the largest feature of the index is calculated, and the feature vector is quantised. Finally, based on the fuzzy set change algorithm, a fuzzy evaluation matrix is constructed to determine the grade of intelligent classroom teaching quality, construct an intelligent classroom teaching effect evaluation model, and obtain the evaluation results. The experimental results show that using this method can effectively improve the accuracy of intelligent classroom teaching evaluation.

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来源期刊

International Journal of Sustainable Development Social Sciences-Geography, Planning and Development

CiteScore

2.40

自引率

0.00%

发文量

期刊介绍： The IJSD is a forum for publication of refereed scientific work, of an interdisciplinary character, at the interface of science, technology, policy and society. A particular emphasis is placed on the value and importance of stakeholder partnerships for effective communication on issues of sustainability.