摘要
本科教学是教育强国的基础,本科教学效果评价是保障本科教学质量的重要措施。针对本科教学效果评价指标不全面、主观性过强等问题,提出了基于深度置信网络的本科教学效果评价方法。对国内本科院校的课堂教学质量评价体系进行了优化重构,构建了较全面的本科教学效果评价指标体系;利用模糊方法确定了教学效果评价指标的权重;采用深度置信网络进行本科教学效果评价。实验结果表明,基于深度置信网络的本科教学效果评价方法具有很好的评价效果。
Undergraduate teaching is the foundation of becoming an education power,and the evaluation of the undergraduate teaching effect is an important measure to ensure the quality of undergraduate teaching.Aiming at the problems of the incomplete evaluation of undergraduate teaching effect and the excessive subjectivity in the evaluation,a method for evaluating undergraduate teaching effect based on Deep Belief Network is proposed.A comprehensive undergraduate teaching effect evaluation index system is constructed by optimizing the undergraduate classroom teaching quality evaluation system in the domestic universities,and the fuzzy method is utilized to determine the weight of the teaching effect evaluation index.On this basis,Deep Belief Network is used to evaluate the undergraduate teaching effect.The experimental results show that the evaluation method proposed in this paper has achieved a good evaluation effect.
作者
王军
WANG Jun(Zhongshan Institute,University of Electronics Science and Technology,Zhongshan,Guangdong 528402,China)
出处
《教育教学论坛》
2022年第40期1-4,共4页
Education And Teaching Forum
基金
2018年度广东省教育厅教育科研项目“基于深度置信网络的本科教学效果评价”(26-418YCQ04)。
关键词
本科教学
评价指标
深度置信网络
undergraduate teaching
evaluating indicator
Deep Belief Networks
