scholarly journals An Improved Genetic Algorithm and Neural Network-Based Evaluation Model of Classroom Teaching Quality in Colleges and Universities

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Huaying Zhang ◽  
Bin Xiao ◽  
Jinqiong Li ◽  
Min Hou
Keyword(s):  
Neural Network ◽  
Genetic Algorithms ◽  
Evaluation Model ◽  
Teaching Quality ◽  
Colleges And Universities ◽  
University Teaching ◽  
Classroom Teaching ◽  
Adaptive Mutation ◽  
Improved Genetic Algorithm

Research on educational quality has gotten a lot of attention as the current higher education teaching reform continues to deepen and grow. The key to improving education quality is to improve teaching quality, and teacher evaluation is an important tool for doing so. As a result, educational management requires the development and refinement of a system for evaluating teaching quality. Traditional approaches to assessing teaching quality, on the other hand, are problematic due to their limitations. As a result, a scientific and reasonable model for evaluating the teaching quality of college undergraduate teachers must be developed. We present a unique model for evaluating the quality of classroom teaching in colleges and universities, which is based on improved genetic algorithms and neural networks. The basic idea is to use adaptive mutation genetic algorithms to refine the initial weights and thresholds of the BP neural network. The teaching quality evaluation findings were improved by improving the neural network’s prediction accuracy and convergence speed, resulting in a more practical scheme for evaluating college and university teaching quality. We have conducted simulation experiments and comparative analysis, and the mean square error of the results of the proposed model is very low, which proves the effectiveness and superiority of the algorithm.

scholarly journals Study on College English Online Teaching Model in Mixed Context Based on Genetic Algorithm and Neural Network Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Xiaoxia Ma
Keyword(s):  
Neural Network ◽  
Online Teaching ◽  
Evaluation Model ◽  
Teaching Quality ◽  
Teaching Evaluation ◽  
Variation Method ◽  
Classroom Teaching ◽  
Evaluation Report ◽  
College English ◽  
English Classroom

College English classroom teaching evaluation is an important basis for understanding teaching level and improving teaching quality. The traditional college English classroom teaching evaluation is mainly carried out through questionnaires and scales, but this method is time-consuming and laborious, inevitably introduces subjective errors, and reduces the accuracy and credibility of the evaluation results. In recent years, the rise and development of wisdom education not only provides a more convenient and efficient modern education form but also brings new ideas for classroom teaching evaluation. A subjective and objective fusion statistical evaluation model based on multidirectional genetic variation method and optimized neural network is proposed. The algorithm avoids subjective errors and improves the accuracy and reliability of the evaluation results, and a comprehensive evaluation model is constructed. Finally, according to different evaluation indexes, a systematic visualization scheme is designed to generate students’ classroom learning evaluation report and teachers' classroom teaching evaluation report, respectively, and visualize them on the web.

An artificial intelligence based model for evaluation of college students’ ability and characteristics through teaching evaluation

2020 ◽  
pp. 1-11
Author(s):  
Bin Li ◽  
Yanying Fei ◽  
Hui Liu
Keyword(s):  
Evaluation System ◽  
Quality Evaluation ◽  
Evaluation Model ◽  
Teaching Quality ◽  
Colleges And Universities ◽  
Developmental Potential ◽  
The Core ◽  
Academic Level ◽  
Quality Evaluation System

The teaching quality is the core of sustainable development in colleges and universities. The constructing scientific and reasonable teaching quality evaluation system is the key of teaching quality evaluation. This paper takes the quality of graduates as the core content, establishes a results-oriented teaching quality evaluation system in colleges and universities, and finds that the academic level of graduates and the level of competition in career selection are two quantitative dimensions reflecting the quality of graduates. Based on this, this paper establishes the evaluation model of the developmental potential index and gives the reference of the norm of teaching effect evaluation for self-evaluation. Finally, this paper discusses the components of graduate quality and the way to construct the evaluation system.

scholarly journals A Strategic Analysis of Improving the Quality of English Teaching in Colleges and Universities

2020 ◽  
Vol 3 (2) ◽  
pp. 83
Author(s):  
Wei Xiong
Keyword(s):  
Teaching Practice ◽  
Teaching Quality ◽  
Colleges And Universities ◽  
Basic Knowledge ◽  
Classroom Teaching ◽  
Main Body ◽  
Teaching Resources ◽  
English Teaching ◽  
The Individual

Under the background of the new era, great changes have taken place in the teaching mode of our country, and all kinds of creative teaching strategies emerge as the times require. In order to construct an efficient classroom and ensure the rational allocation and utilization of teaching resources, teachers must adhere to the central position of students in the process of carrying out classroom teaching practice, clarify the individual differences of students, and fully consider the influencing factors of various details from the point of view of students. In order to better promote the improvement of teaching quality and teaching level, to ensure that every student can learn something, learn to achieve success. However, combined with the relevant practical investigation, it is not difficult to find that long-term examination-oriented education leads to some teaching classics. In the course of carrying out the classroom teaching practice, the teacher who is not under test directly uses the learning of the basic knowledge of the simple theory as the main body, and puts the core energy in the indoctrination and the teaching of the theoretical knowledge, which seriously restricts the individual growth and development of the students, and ignores the individual difference of the students, The result is that the efficiency and quality of the classroom teaching are declining continuously, some of the teaching resources are wasted directly, which is especially obvious in the course of the practice of English teaching in colleges and universities. In this respect, this paper, based on the macroscopic angle, takes the college English teaching as the analysis object, and the relevant strategies and requirements to improve the English teaching quality, with a view to promoting the English teaching in colleges and universities, and provides some reference for the smooth development of teaching practice.

Evaluation of English interpretation teaching quality based on GA optimized RBF neural network

2020 ◽  
pp. 1-8
Author(s):  
Lu Chen ◽  
He Being
Keyword(s):  
Neural Network ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Rbf Neural Network ◽  
Evaluation Model ◽  
Principal Component ◽  
Teaching Quality ◽  
Network Teaching ◽  
Time Performance

Aiming at the problem of low accuracy of the current English interpretation teaching quality evaluation, a teaching quality evaluation method based on a genetic algorithm (GA) optimized RBF neural network is proposed. First, the principal component analysis is used to select the teaching quality evaluation index, and then design The RBF neural network teaching evaluation model is used, and GA is used to optimize the initial weights of the RBF neural network. Experimental results show that this method can effectively evaluate the quality of English interpretation teaching, and has high accuracy and real-time performance.

scholarly journals Planning the Structure of University Teaching Staff Based on Multiobjective Optimization Method

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Xiaoqian Zhang
Keyword(s):  
Genetic Algorithm ◽  
Multiobjective Optimization ◽  
Maximum Entropy Principle ◽  
Teaching Quality ◽  
Colleges And Universities ◽  
University Education ◽  
University Teaching ◽  
Teaching Staff ◽  
Nsga Ii

University education is a hot topic of research in this era of outcome-based education in a learning-centric atmosphere, as people struggle for a higher quality of life and technological advancements. The key problems remain in structuring the teaching staff to achieve optimal information transmission and quality. Existing research aims to improve the quality of teaching of the staff, but majority of them fail to achieve their objectives. Multiobjective (MO) optimization has attracted researchers’ interest, particularly, in the context of performance monitoring and improving teaching quality. The goal of this research is to look into techniques for improving academic accomplishment through the planning structure of university teaching staff. I have adopted the Jaynes maximum entropy principle and fuzzy entropy concept to solve the structural optimization problem in the development of teaching staff in colleges and universities. The objective function and constraints in multiobjective optimization are determined, and the multiobjective optimization issue in the development of teaching staff structure is solved using the nondominated sorting genetic algorithm (NSGA-II) multiobjective genetic algorithm. The results show that the optimized structure of the teaching staff can reflect the goal of the construction of the teaching staff in colleges and universities and provide a scientific basis for the construction and planning of the teaching staff.

Evaluation of the College Classroom Teaching Quality Based on Fuzzy Comprehensive Evaluation

2012 ◽  
Vol 195-196 ◽  
pp. 911-915 ◽  
Author(s):  
Ya Wei Wang ◽  
Dian Li Cao
Keyword(s):  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Teaching Quality ◽  
Evaluation Index System ◽  
Classroom Teaching ◽  
College Classroom ◽  
Comprehensive Evaluation Model ◽  
Effective Assessment

Through designing the evaluation index system, the fuzzy comprehensive evaluation model of the college classroom teaching quality is constructed based on the theory of fuzzy mathematics in this paper. The empirical results show that the model is an effective assessment to evaluate the quality of college classroom teaching and has good scientificity and practicality.

A Study on GM(1,N) Model for Teaching Evaluation

2010 ◽  
Vol 121-122 ◽  
pp. 341-345 ◽  
Author(s):  
Chang Jun Zhu ◽  
Bin Wang
Keyword(s):  
Evaluation Model ◽  
Teaching Quality ◽  
Colleges And Universities ◽  
Quality Of Teaching ◽  
Teaching Characteristics ◽  
Evaluation Of Teaching ◽  
Set Up ◽  
The One ◽  
Quality Evaluation Model

At present, with the popularization of higher education and acceleration of college students every year, colleges and universities are increasing scale. Expansion of the scale for colleges and universities on the one hand, broadens the scope for development, on the other hand it also brings many problems, including the issue of the quality of teaching which is particularly prominent. Owing to the problems existing in the previous system of teaching quality, based on the teaching characteristics, a new multivariate teaching quality evaluation model is set up by means of GM(1,N) theory. And the application processes of the model are illuminated in detail. The model is applied into the evaluation of teaching quality. By analyzing a lot of practical examples, the experiment result indicates that this mathematical model has better appraisal effect than other appraisal model, which can overcome the complexity of traditional evaluation model. Compared with other methods, this method is scientific, simple and operable. And its structure and method will have a bright future.

scholarly journals Algorithm of Classroom Teaching Quality Evaluation Based on Markov Chain

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Tongqing Yuan
Keyword(s):  
Mathematical Model ◽  
Markov Chain ◽  
Quality Evaluation ◽  
Evaluation Model ◽  
Teaching Quality ◽  
Classroom Teaching ◽  
Teaching Process ◽  
Hybrid Teaching ◽  
Quality Evaluation Model

The Markov chain model teaching evaluation method is a quantitative analysis method based on probability theory and stochastic process theory, which establishes a stochastic mathematical model to analyse the quantitative relationship in the change and development process of real activities. Applying it to achieve a more comprehensive, reasonable, and effective evaluation of the classroom teaching quality of college teachers is of positive significance for promoting the continuous improvement of the teaching level of teachers and the teaching quality of schools. Therefore, after an in-depth study of Markov chain algorithm theory, this research proposes an improved Markov chain hybrid teaching quality evaluation model and designs comparative experiments and applies it to the hybrid teaching quality evaluation system of universities, designs a corresponding hybrid teaching quality evaluation model, and finally verifies its effectiveness through experiments. The mathematical model of mixed classroom teaching quality evaluation given in this research focuses on the development and change of the teaching process. For the teaching process that is closely related to the causality of teaching quality, the model established in this paper is more objective and reasonable for evaluating the quality of teaching.

scholarly journals Applying Fuzzy Fault Tree Method to Evaluate the Reliability of College Classroom Teaching

2021 ◽  
Vol 12 ◽  
Author(s):  
Liangliang Wang ◽  
Mingfang Fan ◽  
Feng Zhang
Keyword(s):  
Higher Education ◽  
Evaluation System ◽  
Evaluation Model ◽  
Fault Tree ◽  
Teaching Quality ◽  
Classroom Teaching ◽  
College Classroom ◽  
Quality Of Higher Education ◽  
Solid Foundation

The evaluation of classroom teaching quality is closely related to the development of higher education as a scientific and effective evaluation system that can provide a solid foundation for formulating educational policies. Therefore, an evaluation model of classroom teaching quality in colleges and universities is established based on the fuzzy fault tree theory with “classroom teaching failure” as the top event to effectively evaluate the reliability of college classroom teaching and optimize the teaching strategies. In consideration of the lack of availability and dynamics of classroom teaching data, fuzzy numbers are used to describe the probability of underlying events. In addition, the top event probability of the fuzzy fault tree is calculated by the double-layer Monte Carlo method (MCM), which analyzes the classroom teaching effect based on the fuzzy fault tree reasonable. In summary, the quantitative evaluation system of classroom teaching quality based on fuzzy fault trees can evaluate classroom teaching more comprehensively and dynamically and help to improve the teaching quality of higher education.

Sign in / Sign up

Export Citation Format

Share Document