Genetic Algorithm-based Evaluation Model of Teaching Quality

被引:0
|
作者
Wang, Hongfa [1 ]
Yu, Feng [1 ]
Xing, Chen [1 ]
Zhou, Zhimin [1 ]
机构
[1] Zhejiang Water Conservancy & Hydropower Coll, Dept Comp & Informat Engn, Hangzhou, Zhejiang, Peoples R China
关键词
teaching quality; weight; evaluation model; genetic algorithm;
D O I
10.1109/IITSI.2010.59
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The main purpose of evaluation model of teaching quality is to help improving teaching. The rationality and fairness of conventional models have been doubted, as evaluation results are obtained using subjective weights. Therefore, a more scientific and reasonable evaluation model is needed. This paper introduces an evaluation model of teaching quality based on genetic algorithm. Objective weights obtained in this model guarantee the objectiveness and fairness of the evaluation result. Experimental results show that evaluation results of a same teacher's teaching in different classes are almost the same. This proves that the proposed model has good reliability.
引用
收藏
页码:97 / 100
页数:4
相关论文
共 50 条
  • [21] An adaptive genetic algorithm-based background elimination model for English text
    Tang, Xiaohui
    SOFT COMPUTING, 2022, 26 (16) : 8133 - 8143
  • [22] Genetic algorithm-based parameter identification of a hysteretic brushless exciter model
    Aliprantis, DC
    Sudhoff, SD
    Kuhn, BT
    IEEE TRANSACTIONS ON ENERGY CONVERSION, 2006, 21 (01) : 148 - 154
  • [23] A genetic algorithm-based job scheduling model for big data analytics
    Qinghua Lu
    Shanshan Li
    Weishan Zhang
    Lei Zhang
    EURASIP Journal on Wireless Communications and Networking, 2016
  • [24] A Genetic Algorithm-based optimization model for supporting green transportation operations
    Lin, Canhong
    Choy, K. L.
    Ho, G. T. S.
    Ng, T. W.
    EXPERT SYSTEMS WITH APPLICATIONS, 2014, 41 (07) : 3284 - 3296
  • [25] A genetic algorithm-based, hybrid machine learning approach to model selection
    Bies, RR
    Muldoon, MF
    Pollock, BG
    Manuck, S
    Smith, G
    Sale, ME
    JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS, 2006, 33 (02) : 195 - 221
  • [26] SIMULATED ANNEALING GENETIC ALGORITHM-BASED HARVESTER OPERATION SCHEDULING MODEL
    Zhang Qingkai
    Cao Guangqiao
    Zhang Junjie
    Huang Yuxiang
    Chen Cong
    Zhang Meng
    INMATEH-AGRICULTURAL ENGINEERING, 2021, 63 (01): : 249 - 260
  • [27] Quality evaluation of the halftone by halftoning algorithm-based methods and adaptive method
    Wan, Xiaoxia
    Xie, Dehong
    Xu, Jinglin
    IMAGE QUALITY AND SYSTEM PERFORMANCE IV, 2007, 6494
  • [28] An adaptive genetic algorithm-based background elimination model for English text
    Tang Xiaohui
    Soft Computing, 2022, 26 : 8133 - 8143
  • [29] An evolutionary perspective on strategic group emergence: A genetic algorithm-based model
    Lee, J
    Lee, K
    Rho, S
    STRATEGIC MANAGEMENT JOURNAL, 2002, 23 (08) : 727 - 746
  • [30] Genetic algorithm-based RBF neural network load forecasting model
    Yang, Zhangang
    Che, Yanbo
    Cheng, K. W. Eric
    2007 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1-10, 2007, : 1560 - 1565