Teaching Quality Evaluation Method Research Articles

Application of Machine Learning Technology in Classical Music Education

The goal is to promote the healthy and stable development of music education in China. The time-frequency sequence topology in frequency domain can improve the effect of convolution operation. Therefore, this paper applies the above algorithms to classical music education, including the recognition of classical instruments, the feature extraction and recognition of classical music, and the quality evaluation of classical music education. The quality of the music quality evaluation system can be judged according to the correlation between the output results and the subjective evaluation. The higher the correlation, the better the music quality evaluation method. Through relevant experiments, it is proved that DTW score alignment and end-to-end are more successful in extracting the features of classical music, and more accurate in identifying classical instruments. The objective evaluation method of pronunciation teaching quality is more objective and accurate than P.563 music teaching quality evaluation.

Research on online evaluation method of MOOC teaching quality based on decision tree-based big data classification

Research on online evaluation method of MOOC teaching quality based on decision tree-based big data classification

Multiple evaluation methods of MOOC online English teaching quality based on social network

In order to solve the problem of low evaluation accuracy of English teaching quality evaluation methods, this paper designs a diversified evaluation method of MOOC online English teaching quality based on social network. Firstly, the characteristics of social networks and the information interaction process between users are analysed, and the data affecting the quality evaluation are collected for normalisation. Then, the data with high similarity is determined by cosine similarity calculation to realise data preprocessing. Finally, the diversified evaluation indicators are normalised, the weight of diversified evaluation indicators is calculated, the quality data evaluation model of diversified teaching indicators is constructed, and the diversified evaluation is completed. The experimental results show that the evaluation accuracy of this method is always higher than 90%, and the evaluation time is less than 2.6 s, which has a certain reliability.

An evaluation method of English teaching quality based on Markov chain

An evaluation method of English teaching quality based on Markov chain

Research on online evaluation method of MOOC teaching quality based on decision tree-based big data classification

Research on online evaluation method of MOOC teaching quality based on decision tree-based big data classification

Retracted: Evaluation Method of Vocal Music Teaching Quality for Music Majors Based on the Theory of Multiple Intelligences

Retracted: Evaluation Method of Vocal Music Teaching Quality for Music Majors Based on the Theory of Multiple Intelligences

An online teaching quality evaluation method based on improved entropy method in the context of sustainable development

An online teaching quality evaluation method based on improved entropy method in the context of sustainable development

Research on the Evaluation of College Teaching Quality Based on Student Satisfaction: A Case Study of Qingdao Hengxing University of Science and Technology

With the popularization of higher education, the quality of higher education has been the focus of society. With teaching in colleges and universities being continuously reformed, the means and methods of college teaching quality evaluation are also constantly improving, thus the traditional teaching quality evaluation method can no longer fully meet the actual needs of the current teaching quality evaluation in colleges and universities. As a scientific and systematic theory, the customer satisfaction theory has been gradually recognized by various industries, and has also been widely used in non-profit organizations. Colleges and universities under the non-profit service sector, and the focus is on whether their educational services can satisfy customers (especially students) based on the comparative analysis of customer satisfaction theory and customer satisfaction evaluation method, the model of teaching quality, and the index system and the corresponding measurement model [1]. On this basis, the teaching quality of Qingdao Hengxing University of Science and Technology was used as the research object, combined with the teaching service characteristics, and analysis of factors affecting customer satisfaction, which includes school reputation, perceived quality, perceived value, customer complaints, customer loyalty, students’ satisfaction. The results were analyzed and suggestions are given to effectively improve the teaching quality customer (student) satisfaction.

A literature review of the research on students' evaluation of teaching in higher education.

Students’ evaluation of teaching is a teaching quality evaluation method and teacher performance evaluation tool commonly used in Chinese and foreign universities, and it is also a controversial hot issue in the field of teaching evaluation. At present, the research results of students’ evaluation of teaching in higher education are relatively rich, mainly focusing on reliability, validity and its influencing factors, construction of index system, problems in practical application and improvement strategies. The purpose of this article is to study the relevant research results of the current Chinese and foreign academic circles, in order to provide useful inspiration for the construction of the index system and practical application of the ideological and political theory course evaluation and teaching of Chinese college students.

Evaluation Method of Vocal Music Teaching Quality for Music Majors Based on the Theory of Multiple Intelligences

The quality evaluation of vocal music teaching for music majors is of great significance to music education. Based on the theory of multiple intelligences, this paper constructs a model for evaluating the quality of vocal music teaching for music majors and introduces the theory of multiple intelligences into the operation form, design requirements, and recommended lesson examples of music teaching unit design. The experimental data and questionnaire data collected by the model verify that this operation is beneficial to the improvement of students’ music listening scores, vocal music comprehension scores, and total scores and solves the quantitative problem of vocal music teaching quality evaluation. In the simulation process, the engineering testing and analysis method uses the correlation rate and correlation strength as the analysis indicators, comparing the platforms for the quality evaluation of vocal music teaching in music majors and the corresponding quality evaluation data preprocessing process. The experimental results show that the algorithm performance evaluation is carried out based on the three aspects of quality evaluation association rules, algorithm running time, and algorithm memory consumption. The multiple intelligence algorithm is applied to vocal music teaching analysis of association rules for quality evaluation: when 4000 tasks call for 20–40 virtual resources, the total time spent is reduced by 61.7%, which has a significant positive effect on the knowledge expansion and ability improvement of music majors.

Improving the Effect of English Classroom Teaching Based on the Real-Time Supervision of College Students

This paper proposes a method to improve the effect of English classroom teaching based on the real-time monitoring of college students’ status. Education informatization reinsert teaching evaluation and teaching management methods, use the new generation of information technology to track the entire process of monitoring and teaching, and carry out academic analysis and learning diagnosis, to pay attention to knowledge teaching to more emphasis on the cultivation of ability quality. Behavior analysis can identify students’ classroom behavior in real time to track changes in the state of students. We herein count the classroom status of students and formulate quantitative guidelines and analyze the sequence diagram of each classmate’s class behavior state and statistics from the time and duration of various classroom behaviors in classmates. Each student’s listening quality is scored, and the visual methods such as sequential maps and distributed cake maps are used in class behavior to enable students to understand their own quality of the lesson. By analyzing the laws of student class behavior status distribution, we provide a data-driven mechanism for teacher classroom teaching quality evaluation and teaching method improvement.

Evaluation of Political Classroom Teaching Quality in Universities Based on DA-BP Algorithm

In order to improve the evaluation accuracy of political classroom teaching quality in universities, a DA-BP-based evaluation method of political classroom teaching quality in universities is proposed. First of all, in constructing the teaching quality evaluation system of university political courses using the framework of behavior theory, the system consists of 4 primary indicators and 15 secondary indicators. Second, the university’s 2008–2013 annual teaching quality assessment scores for the teaching quality of political courses were used as the input data of the DA-BP network, and the 2013–2016 teaching evaluation scores were used as the algorithm’s test data. In order to test the prediction accuracy of the DA-BP algorithm, it is compared with the GA-BP algorithm, PSO-BP algorithm, and BP algorithm. The research results show that DA-BP has higher prediction accuracy than other algorithms and can better evaluate the teaching quality of political courses.

DA-CNN-Driven Innovative Ideological Politics Education Management System

With the rapid development of the Internet, the network has become an important part of the study, work, and life of all teachers and students in colleges and universities. It also brings great challenges to the traditional way of ideological and political education in colleges and universities. Colleges and universities have launched various beneficial attempts in the ideological and political education into the network. In this context, in order to improve the evaluation accuracy of ideological and political classroom teaching quality in colleges and universities, this paper puts forward an evaluation method of ideological and political classroom teaching quality in colleges and universities based on DA-CNN. On the basis of constructing the evaluation index system of ideological and political classroom teaching quality in colleges and universities by analytic hierarchy process, the scores of 25 evaluation indexes affecting the ideological and political teaching quality in colleges and universities are taken as the input of DA-CNN, and the comprehensive score of ideological and political teaching quality in colleges and universities is taken as the output of DA-CNN. At the same time, an innovative ideological and political education management system based on convolutional neural network is designed and developed, and the functional modules and database of the system are planned.

Physical Education Teaching Quality Evaluation Method Using Collaborative Edge Computing and Social Internet of Things

A quality assessment technique for physical education and digital hybrid learning application of mobile edge devices is presented to improve physical education and evaluation hybrid instruction. As a result, the primary goal of this study is to showcase the rapid gains of social internet of things (SIoT) materials for applications and to provide various challenges and opportunities for future cases with collaborative edge computing (CEC). This work creates the quality assessment indicator system of mixed physical and digital evaluation based on aim, index, the value of the index, and assessment standard. Collaborative edge computing and social internet of things in the classroom for research into the use of SIoT and its implementations in underdeveloped nations is strongly encouraged, according to the findings of this study by increasing 28.1% enhancement. The fuzzy extensive analysis methodology is employed to successfully achieve the hybrid physical training quality assessment and digital evaluation method.

Evaluating Teaching Quality in Colleges and Universities of Public Art Education Using the AHP Fuzzy Comprehensive Method

The effectiveness of classroom teaching has emerged as the determining factor in whether a school will endure as higher education in China develops. Currently, all schools and institutions have established public art education classes that offer art education to students who do not study art. With the establishment of public art education, students of other subjects can learn art, film and television, music, calligraphy, dance, and drama and master basic practical skills that fundamentally improve their aesthetic capacity and qualities that promote the emergence of morality, intelligence, physique, and glamour among college students. However, colleges and universities should assess the teaching abilities of teachers after establishing public art education programs and then improve their own teaching abilities by fully altering the public art education model in accordance with the results of the teaching evaluation quality score. This study establishes a method for evaluating the effectiveness of teaching in public art education courses at colleges and institutions. The fuzzy comprehensive is based on the analytic hierarchy process (AHP). The system for evaluating the quality of teaching is established, which builds the teacher’s teaching evaluation factor set, decides how much weight each teacher’s teaching quality evaluation factor should have, establishes the teaching quality evaluation grade, and decides the comprehensive teaching quality evaluation method. The teaching quality evaluation is finally computed using the fuzzy comprehensive evaluation formula and the AHP approach in accordance with the evaluation results provided by five different types of experts. The results indicate that department leaders awarded teachers a 94.11 rating for their ability to teach.

Evaluation Method of Creative Dance Teaching Quality Based on Fuzzy Comprehensive Evaluation

In order to improve the teaching quality of creative dance, this paper puts forward an evaluation method of creative dance teaching quality based on fuzzy comprehensive evaluation. On the basis of clarifying the evaluation criteria, the overall framework of the creative dance teaching quality evaluation system is given; the hardware part optimizes the design of the database and storage module of creative dance teaching-related materials, and the software part completes the quality evaluation of creative dance teaching through the fuzzy comprehensive evaluation method. Experiments show that the proposed method can effectively evaluate the quality of creative dance teaching; when collecting data, the resource discovery rate is high, and the data collection effect is better; the method has high data storage capacity, low rejection times, and good data storage performance.

Evaluation Method of Ideological and Political Classroom Teaching Quality Based on Analytic Hierarchy Process

Constructing a scientific evaluation system of curriculum education quality is an important content to improve the effectiveness of curriculum ideological and political education. Starting from the practical significance of exploring the effectiveness evaluation system of curriculum ideological and political education, supported by analytic hierarchy process, this paper constructs the evaluation model of curriculum educational quality through the five dimensions of curriculum design, teaching staff, student cognition, development evaluation, and system design, clarifies the hierarchical relationship between the implementation elements of curriculum ideological and political education from the micro level, and defines the basic responsibilities, in order to provide reference for curriculum teaching reform and educational quality evaluation.

Research on the Evaluation Methods of English Teaching Quality in the Context of Online Education

ABSTRACT With the development of online education, the evaluation method of teaching quality has also received wide attention. This paper took the “Comprehensive English” course on the Massive Open Online Courses (MOOC) platform as an example, established teaching quality evaluation indicators, designed an evaluation method based on a back-propagation neural network (BPNN), optimized the parameters of the BPNN by the improved genetic algorithm (GA), and established an improved GA-BPNN model. The results found that the error between the output of the improved GA-BPNN model and the actual value was the smallest, between 0.01 and 0.04, showing that the model was stable; the mean absolute percentage error (MAPE) and root-mean-square error (RMSE) of the improved GA-BPNN model were 0.051 and 4.778, respectively, which were superior to BPNN and GA-BPNN models. The results verify the reliability of the improved GA-BPNN model. The model can be applied in practical teaching.

Evaluation Method of Physical Education Teaching and Training Quality Based on Deep Learning.

To solve the problems of great difficulty and low accuracy in the evaluation of physical education teaching results, an evaluation method of physical education teaching and training quality based on deep learning is proposed. The evaluation index system is constructed based on the teaching content, teaching attitude, teaching content, teaching method, and teaching effects that affect the teaching quality. After the influence factors of each index are quantified, the resolution coefficient of the index is dynamically taken, the index correlation relationship based on weight is established, and the score distribution and score progress are taken as the evaluation results. The test results show that the correlation coefficient between the evaluation result of the design method and the actual results is 0.9430, and the evaluation accuracy is 94.73%.

Application of Image Denoising Algorithm and Data Mining in Psychological Teaching Quality Evaluation

In order to improve the psychological teaching quality of college students, this paper combines image denoising algorithm and data mining algorithm to construct a psychological teaching quality evaluation system. The denoising algorithm is mainly used to identify the behavior and expressions of the students so as to explore the psychological state of the students. Moreover, this paper combines the data mining algorithm to carry out the quantitative analysis of students’ psychological state and analyzes and introduces the calibration principle of Dirckx method in detail to improve it and then forms a new calibration method. In addition, based on the arctangent function, this paper proposes a new two-frame random phase-shift fringe image phase shift extraction algorithm. The research results show that the image denoising algorithm and data mining proposed in this paper have a good effect in the evaluation method of psychological teaching quality and can play a good role in the improvement of students’ mental health.