scholarly journals A Teaching Quality Evaluation Model Based on a Wavelet Neural Network Improved by Particle Swarm Optimization

2014 ◽  
Vol 14 (3) ◽  
pp. 110-120 ◽  
Author(s):  
Hui Li
Keyword(s):  
Higher Education ◽  
Index System ◽  
Quality Evaluation ◽  
Evaluation Model ◽  
Teaching Quality ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Quality Of Higher Education ◽  
Quality Evaluation Model

Abstract In order to improve the teaching quality of higher education, the paper constructed a teaching quality evaluation index system with five first level indicators and twenty two second level indicators according to the teaching level evaluation index system of ordinary higher education. For the complex nonlinear relationships between the evaluation indices, a mathematical model for evaluating the teaching quality based on WNN, whose parameters were optimized by PSO, was presented in the paper. The experimental results showed that the method proposed could better improve the accuracy of the teaching quality evaluation target by making the mean square error of the actual output value and the desired output value smaller. Simultaneously, the method has been widely used in teaching quality evaluation of our college.

scholarly journals Application of Fuzzy Evaluation in Comprehensive Quality Evaluation of Higher Education Students

2021 ◽  
Vol 16 (12) ◽  
pp. 201
Author(s):  
Wei Lu ◽  
Chunxu Jia ◽  
Jialin Zuo
Keyword(s):  
Higher Education ◽  
Quality Evaluation ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Evaluation Index System ◽  
Fuzzy Evaluation ◽  
Education Students ◽  
Quality Of Higher Education

Scientific and reasonable evaluation of the comprehensive quality of higher education students provides a guarantee for the pertinent development of quality education in colleges, and offers an aid for students to determine goals and directions of development. Therefore, this paper first constructs an evaluation index system (EIS) for the comprehensive quality of higher education students, and then builds up an evaluation model for that quality based on fuzzy comprehensive evaluation (FCE). The FCE algorithm was designed in details, and applied to a real example. The application results show that the FCE can scientifically evaluate the comprehensive quality of the students from multiple aspects and levels. The research overcomes the difficulty in the comprehensive quality evaluation of college students, and enriches the theoretical and practical results in this field.

scholarly journals Research on Teaching Quality Evaluation Model of Physical Education Based on Simulated Annealing Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Xiaoyu Duan ◽  
Peiwei Hou
Keyword(s):  
Simulated Annealing ◽  
Physical Education ◽  
Quality Evaluation ◽  
Simulated Annealing Algorithm ◽  
Evaluation Model ◽  
Teaching Quality ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Annealing Algorithm ◽  
Quality Evaluation Model

One of the most significant components of the teaching department is the evaluation of teaching quality. The traditional teaching quality evaluation model has the problems of low weight calculation accuracy and long evaluation time. With the development of educational informatization, modern information processing technology can be used to effectively evaluate teachers’ teaching quality. In this article, a physical education teaching quality evaluation model based on the simulated annealing algorithm is proposed. An evaluation index system is established based on the construction principles of the evaluation index system followed by the construction of a judgment matrix to calculate the weight of the evaluation index. The simulated annealing algorithm is employed to effectively optimize the weight of the evaluation index and improve the evaluation accuracy. In addition, the analytic hierarchy process (AHP) is used to test the consistency of the judgment matrix, and the weight ranking results of the evaluation indexes are obtained to complete the teaching quality evaluation of physical education. The experimental results show that the performance of the proposed model in terms of evaluation weight calculation accuracy and evaluation calculation time is higher than that of the existing models. Therefore, the proposed model can better meet the requirements of physical education teaching quality evaluation.

scholarly journals College English Classroom Teaching Evaluation Based on Particle Swarm Optimization – Extreme Learning Machine Model

2017 ◽  
Vol 12 (05) ◽  
pp. 82 ◽  
Author(s):  
Baojian Wang ◽  
Jing Wang ◽  
Guoqiang Hu
Keyword(s):  
Foreign Language ◽  
Index System ◽  
Quality Evaluation ◽  
English Education ◽  
Teaching Quality ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Classroom Teaching ◽  
Machine Model ◽  
English Classroom

The quality evaluation of English classroom teaching carries great significance in promoting English teaching reform and raising the quality of English education at university level in China. In this paper, a quality evaluation index system is introduced for the classroom teaching of English as a foreign language (EFL), and an EFL classroom teaching quality evaluation model is built based on the PSO-ELM algorithm with an ELM model constructed for comparison. A comparison shows that the PSO-ELM algorithm can obtain better accuracy with less hidden layer neurons, hence lowering the demand upon experiment samples and strengthening the fitting ability of the model. Experiment results show that the PSO-ELM algorithm is feasible to evaluate classroom teaching of English as a foreign language. The designed English classroom teaching quality evaluation index system is thus confirmed as effective, and is expected to improve the quality and management of classroom teaching of English as a foreign language.

The Model of Evaluating Teaching Quality Based on BP Neural Network Algorithm

2015 ◽  
Vol 719-720 ◽  
pp. 1297-1301
Author(s):  
Lei Bai ◽  
Xiao Xin Guo
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Quality Evaluation ◽  
Hot Spot ◽  
Evaluation Model ◽  
Teaching Quality ◽  
Research Field ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Neural Network Algorithm

Teaching quality evaluation plays a key role for universities to improve its teaching quality and becomes a hot spot research field for related researchers. In this paper, we established the evaluation model of teaching quality based on BP neural network. Firstly an evaluation index system of teaching quality is designed. Then, according to the system we design the structure of BP neural network, determine the parameters and give the algorithm description. Finally, we program and verify the validity of the model in MATLAB environment. The experimental results show that the model can evaluate teaching quality practically by the evaluation index.

scholarly journals Construction of Teaching Quality Evaluation System of Higher Vocational Project-Based Curriculum Based on CIPP Model

2021 ◽  
Vol 11 (6) ◽  
pp. 262-268
Author(s):  
Hongcheng Jiang ◽  
◽  
Yiting Liu
Keyword(s):  
Evaluation System ◽  
Quality Evaluation ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Teaching Quality ◽  
Development Stage ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Cipp Model

The project-based classroom teaching has entered the connotative development stage in the development process of Higher Vocational Education in China. It is necessary to evaluate the comprehensive teaching quality including the implementation background, implementation conditions, implementation process and implementation results, but there are few studies on this aspect at present. Therefore, this paper introduces the CIPP evaluation model, based on the analysis of the necessity and applicability of CIPP model in Higher Vocational project-based curriculum teaching quality evaluation, constructs the evaluation index system of Higher Vocational project-based curriculum teaching quality based on CIPP, and discusses the multi-level fuzzy comprehensive evaluation model on the basis of weighting the evaluation index by using AHP. Finally, it takes the teaching quality of cost accounting and practice project in Higher Vocational Colleges as an example to discuss the application of the model.

scholarly journals The Application of Grey-TOPSIS Method on Teaching Quality Evaluation of the Higher Education

2015 ◽  
Vol 10 (8) ◽  
pp. 42 ◽  
Author(s):  
Jing Song ◽  
Junhui Zheng
Keyword(s):  
Higher Education ◽  
Quality Evaluation ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Teaching Quality ◽  
Topsis Method ◽  
Validity And Reliability ◽  
Grey Correlation ◽  
Comprehensive Evaluation Model

The teaching quality of the higher school is not only related to the development of the students, but also related to the future of our country. It can find out the problems of the higher education for colleges to evaluate the teaching quality of the higher education. And it can provide the reference for the students to apply for the colleges. In this paper, we combine the grey correlation with TOPSIS method and provide the improved Grey-TOPSIS method. Then, we evaluate the teaching quality of the higher education. The results show that the comprehensive evaluation model can evaluate reasonably the teaching quality of the higher education. And it proves the validity and reliability of the method.

Fuzzy mathematics and machine learning algorithms application in educational quality evaluation model

2020 ◽  
Vol 39 (4) ◽  
pp. 5583-5593
Author(s):  
Jian Wang ◽  
Weizhong Zhang
Keyword(s):  
Machine Learning ◽  
Quality Evaluation ◽  
Evaluation Model ◽  
Learning Algorithms ◽  
Teaching Quality ◽  
Machine Learning Algorithms ◽  
Educational Quality ◽  
Evaluation Index ◽  
Fuzzy Mathematics ◽  
Quality Evaluation Model

Teaching quality evaluation is a complex non-linear system fitting problem under the influence of many factors. The establishment of teaching quality evaluation is to construct a functional relationship between teaching quality evaluation index and teaching effect. In this paper, the authors analyze the fuzzy mathematics and machine learning algorithms application in educational quality evaluation model. Machine learning method has been well applied in complex problems such as classification, fitting, pattern recognition and so on. It can be used to realize a more comprehensive, reasonable and effective evaluation of the classroom teaching quality of university teachers. The simulation results show that the model can well express the complex relationship between the teaching quality evaluation index and the evaluation results. The theoretical values of the evaluation results are in the corresponding confidence interval, which proves that the machine learning algorithm has good reliability for different teaching quality evaluation problems.

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