Research and Implementation of Comprehensive Evaluation Algorithms #br# for Teaching Quality in Colleges and Universities

doi:10.3969/j.issn.1006-2475.2019.06.021

Abstract

Abstract: The evaluation of teaching quality in colleges and universities is fuzzy and dynamic, and there are more qualitative and less quantitative methods, more specialties and less easy operations in the evaluation methods of teaching quality. Aiming at the above problems, this paper introduces the average comprehensive evaluation algorithm and AHP fuzzy comprehensive evaluation algorithm. Then we use Python to implement them. Finally, the two algorithms are compared and analyzed. The results show that AHP fuzzy comprehensive evaluation algorithm is more suitable for teaching management. It can improve the reliability and efficiency of teaching quality evaluation. As a general method, it can be popularized and applied to other types of comprehensive evaluation.

Key words: teaching quality, comprehensive evaluation, AHP, fuzzy, algorithm

CLC Number:

TP301.6

GUO Xin1, ZHANG Ming-huan1, WU Liang2, CHEN Ying1. Research and Implementation of Comprehensive Evaluation Algorithms #br# for Teaching Quality in Colleges and Universities[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2019.06.021.

References

［1］于长春. 论高校教师教学质量的影响因素与提升途径［J］. 中国成人教育, 2017(2):125-128.
［2］张瑛瑛. 基于模糊综合评判的对外汉语教师教学质量评估指标体系的构建［D］. 重庆:重庆大学, 2007.
［3］郑莉,王建骅. 基于模糊数据挖掘的教学质量满意度分析［J］. 数学的实践与认识, 2018,48(18):106-116.
［4］孙微. 高校课堂教学评价现状与对策研究——以吉林省A师范大学为例［D］. 长春:长春师范大学, 2018.
［5］范岩,马立平. 利用马尔可夫链的高校教师教学质量模糊综合评价方法［J］. 数学的实践与认识, 2017(4):77-82.
［6］郭华锋,于萍,李志,等. 人工神经网络在本科教学质量智能评价中的应用［J］. 教育教学论坛, 2019(5):213-215.
［7］吴恩英. 基于支持向量机的高校课堂教学质量评价研究［D］. 重庆:重庆师范大学, 2016.
［8］刘芳,宫华,许可,等. 基于熵权改进的TOPSIS法的教师教学质量评价［J］. 沈阳工业大学学报, 2017,39(5):540-544.
［9］李兴保,徐进,刘敏,等. 虚拟学习社区学习评价指标体系的设计［J］. 中国电化教育, 2016(11):34-36.
［10］权小红. 高校教师教学质量模糊综合评价模型研究［J］. 无锡职业技术学院学报, 2012(1):34-36.
［11］宋晓秋. 模糊数学原理与方法［M］. 徐州:中国矿业大学出版社, 1999:3.
［12］亢婷. 独立学院课堂教学质量评价指标权重的确定方法［J］. 兰州文理学院学报(自然科学版), 2014,28(4):33-37.
［13］赵春元. 模糊层次分析法在高校教学评价中的应用［J］. 高等农业教育, 2011(1):44-45.
［14］BERNASCONI M, CHORIAT C, SERI R. The analytic hierarchy process and the theory of measurement［J］. Management Science, 2010,26(4):699-711.
［15］LIN H F. An application of fuzzy AHP for evaluating course website quality［J］. Computers and Education, 2010,54(4):877-888.
［16］姜帆. 模糊层次分析法不一致性问题研究［D］. 北京:华北电力大学, 2015.
［17］AL-RFOU R, ALAIN G, ALMAHAIRI A, et al. Theano: A Python Framework for Fast Computation of Mathematical Expressions［DB/OL］. (2016-05-09)［2019-03-05］. https://arxiv.org/pdf/1605.02688.pdf.
［18］PEDREGOSA F, GRAMFORT A, MICHEL V, et al. Scikit-learn: Machine learning in Python［J］. Journal of Machine Learning Research,2013,12(10):2825-2830.
［19］BIRD S, KLEIN E, LOPER E. Natural Language Processing with Python［M］. O'Reilly Media, 2009.
［20］刘钊,刘志伟. 基于提高Cronbach ɑ系数的问卷设计策略［J］. 当代教育实践与教学研究, 2016(4):173-174.
［21］邓万友. 高校课堂教学质量的多层次模糊综合评价模型［J］. 内蒙古师范大学学报(教育科学版), 2010(5):57-60.

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