基于深度学习分析技术的高等教育教学改革评价方法

Taolin Zhang, Shuwen Jia, C. Angeli
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引用次数: 0

摘要

考虑到当前高校教学模式评价过程中存在的评价误差大、时间长、人力、物力投入大等缺点,为提高高校教学模式评价的准确性,降低评价成本,本研究提出了一种基于深度学习算法的高校教学模式评价方法。首先,分析了高校教学模式评价的研究现状,找到了当前高校教学模式评价效果不佳的原因;然后对现有的深度学习算法进行了改进,并通过与其他模型的对比验证了该方法的有效性和快捷性。然后,建立高校教学模式评价模型,对高校教学模式评价数据进行机器学习;最后,收集高校教学模式评价数据,进行高校教学模式评价应用实例测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation Method of Higher Education Teaching Reform Based on Deep Learning Analysis Technology
Considering the shortcomings of large evaluation errors, long time, human, and material resources in the evaluation process of the current college teaching mode to improve the accuracy of the evaluation of college teaching mode and reduce the cost of the evaluation, this study proposes an evaluation method for college teaching methods based on deep learning algorithms. Firstly, the research status of the evaluation of college teaching mode is analyzed, and the reasons for the poor evaluation results of the current college teaching mode are found; then the existing deep learning algorithm is improved, and the effectiveness and speed of the method are verified by comparing with other models. Then, the evaluation model of college teaching mode is established, and machine learning is performed on the evaluation data of college teaching mode; finally, the evaluation data of college teaching mode is collected, and the application example test of college teaching mode evaluation is performed.
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