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.

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 Industry-University-Research Interaction Model for Teaching Quality Evaluation of Economic Management Courses

2021 ◽  
Vol 16 (23) ◽  
pp. 202-215
Author(s):  
Yang Xiao ◽  
Xijun Zhang ◽  
Shengnan Ren ◽  
Hongyun Li
Keyword(s):  
Index System ◽  
Evaluation System ◽  
Quality Evaluation ◽  
Student Evaluation ◽  
Teaching Quality ◽  
University Research ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Economic Management ◽  
Four Dimensions

Teaching quality evaluation is an important means of colleges to control teaching quality, and expedite teachers to keep improving teaching levels. Based on industry-university-research interaction (IURI) model, this paper surveys the current state of teaching quality evaluation of college teachers, establishes the indices for teaching quality evaluation of economic management courses, and presents a few countermeasures for improving teaching quality evaluation. The results show that: teaching quality evaluation covers three types of data: student evaluation, supervisor evaluation, and network-assisted teaching evaluation. Our student evaluation index system covers four dimensions: teaching attitude, teaching content, teaching method, and teaching effect. Our expert evaluation index system also covers four dimensions: teaching preparation, teaching ability, teaching management, and teaching effect. Our multi-subject teaching quality evaluation system for economic management courses covers four modules: student module, teacher module, supervisor module, and administrator module. This research lays a theoretical basis for applying the IURI model in teaching reform.

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.

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