应用深度置信网络的高职教学质量评估分析

Evaluation and Analysis of Junior College Education Quality Based on Deep Belief Network

课堂教学是人才培养的重要方式,高职院校提高教学质量是提升办学质量的重要途径,所以做好教学质量的评估尤为重要。对于教学质量的全面管理需要建立一套行之有效的评价方式。一直以来教学质量的评估较常使用直接建立评价系统的数学模型,但在评估过程对于各种随机性和主观性的缺点无法完全摒弃,常常忽略了各评价指标和教学效果之间的非线性关系,导致结果带有一定主观性,无法反映出真实教学质量。本文提出一种基于深度置信网络模型的教学质量评估方法,经实验分析,该模型对于教学质量评估有着不错的效果。

Classroom teaching is an important way to cultivate talents. Improving teaching quality in higher vocational colleges is an important way to improve the quality of running schools, so it is particularly important to do a good job in evaluating teaching quality. For the overall management of teaching quality, we need to propose a set of effective evaluation methods. Mathematical model of evaluation system is often used in the evaluation of teaching quality, but the shortcomings of randomness and subjectivity can not be completely discarded in the evaluation process, and the non-linear relationship between evaluation indexes and teaching effect is often neglected. Therefore, the results have certain subjectivity and can not reflect the real teaching quality. In this paper, a method of teaching quality evaluation based on deep belief network model is proposed. Through experimental analysis, the model has a good effect on teaching quality evaluation.