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基于深度学习算法的高校教学模式评价研究 被引量:1

Research on university teaching mode evaluation based on deep learning algorithm
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摘要 针对当前高校教学模式评价过程中存在的一些不足,如评价误差大、时间长等,以提高高校教学模式评价精度为目标,提出基于深度学习算法的高校教学模式评价方法。首先分析高校教学模式评价的研究现状,找到当前高校教学模式评价结果差的原因;然后收集高校教学模式评价数据,采用深度学习算法对高校教学模式评价数据进行学习,建立高校教学模式评价模型;最后进行高校教学模式评价的应用实例测试,结果表明,基于深度学习算法的高校教学模式评价精度要高于当前其他高校教学模式评价方法,而且评价的速度明显提升,可以对高校教学模式进行实时分析,具有较高的实际应用价值。 In view of some shortcomings in the evaluation process of university teaching mode,for instance,large evaluation error,long evaluation duration,etc.,a university teaching mode evaluation method based on deep learning algorithm is put forward to improve the evaluation accuracy of university teaching mode.The research status of the current university teaching mode evaluation are analyzed to find out the reasons for the poor evaluation result.And then,the university teaching mode evaluation data are collected and learnt by the deep learning algorithm for the establishment of the university teaching mode evaluation model.Finally,the university teaching mode evaluation is tested by application examples.The results show that the evaluation accuracy of the university teaching mode based on deep learning algorithm is higher than that of the other evaluation methods,and its evaluation speed has been significantly improved.In addition,the mode based on deep learning algorithm can perform real⁃time analysis.Therefore,it has a high practical application value.
作者 林崇华 张慧川 LIN Chonghua;ZHANG Huichuan(School of Architecture&Art Design,Hebei University of Technology,Tianjin 300130,China;School of Artificial Intelligence,Hebei University of Technology,Tianjin 300401,China)
出处 《现代电子技术》 2021年第3期95-99,共5页 Modern Electronics Technique
基金 河北省社会科学基金项目(HB19JY039)。
关键词 高校教学模式 评价方法 数据收集 深度学习算法 评价模型 对比实验 university teaching mode evaluation method data acquisition deep learning algorithm evaluation model comparative experiment
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