Online teaching quality evaluation model based on support vector machine and decision tree

被引:43
作者
Hou, Jingwen [1 ,2 ]
机构
[1] Zhengzhou Normal Univ, Zhengzhou 410044, Peoples R China
[2] Sehan Univ, Dangjin, Chungcheongnam, South Korea
关键词
Support vector machine; decision tree; teaching quality; online education; evaluation model;
D O I
10.3233/JIFS-189218
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
At present, online education evaluation models are insufficient when dealing with small-scale evaluation data sets. In order to discriminate the learner's learning state, this paper further studies online teaching machine learning methods, and introduces adaptive learning rate and momentum terms to improve the gradient descent method of BP neural network to improve the convergence rate of the model. Moreover, this study proposes a deep neural network model to deal with complex high-dimensional large-scale data set problems. In the process of supervised prediction, this study uses support vector regression as a predictor for supervised prediction, and this study maps complex non-linear relationships into high-dimensional space to achieve a linear relationship similar to low-dimensional space. In addition, in this study, small-scale teaching quality evaluation data sets and large-scale data sets are input into the model to perform experiments. Finally, the model proposed in this study is compared with other shallow models. The results show that the model proposed in this research is effective and advantageous in evaluating teaching quality in universities and processing large-scale data sets.
引用
收藏
页码:2193 / 2203
页数:11
相关论文
共 24 条
[1]  
Al-Maamari F., 2015, Higher Education Studies, V5, P9, DOI [DOI 10.5539/HES.V9N6P9, 10.5539/hes.v5n6p9, DOI 10.5539/HES.V5N6P9]
[2]  
Tewell E, 2017, COMMUN INF LIT, V11, P95
[3]   Questionnaire evaluating teaching competencies in the university environment. Evaluation of teaching competencies in the university [J].
Antonio Moreno-Murcia, Juan ;
Silveira Torregrosa, Yolanda ;
Belando Pedreno, Noelia .
JOURNAL OF NEW APPROACHES IN EDUCATIONAL RESEARCH, 2015, 4 (01) :54-+
[4]  
Brkovic M., 2016, FACTA U, V14, P1, DOI DOI 10.2298/FUACE1601001B
[5]  
Dickson Anne, J INTELLIGENT FUZZY, V38, P6537
[6]  
Eckler U, 2017, INT J HLTH PROF, V4, P109
[7]  
Garofalo F, 2017, WORLD J SURG, V41, P100, DOI 10.1007/s00268-016-3710-z
[8]   Work shadowing in dental teaching practices: evaluation results of a collaborative study between university and general dental practices [J].
Heitkamp, Stefan J. ;
Ruettermann, Stefan ;
Gerhardt-Szep, Susanne .
BMC MEDICAL EDUCATION, 2018, 18
[9]  
Huang N., 2017, International Journal of Education & Management Engineering, V7, P43, DOI [10.5815/ijeme.2017.03.05, DOI 10.5815/IJEME.2017.03.05]
[10]  
Jiang Y., 2016, J COMPUT THEOR NANOS, V13, P9848, DOI DOI 10.1166/JCTN.2016.5939