Evaluation Index System Of Teaching Quality Research Articles

The Application of PDCA Cycle Theory Combined with Subjective and Objective Empowerment Method in Teaching Quality Assessment System of Higher Vocational Colleges and Universities

Abstract As the expansion of higher vocational education hastens the massification of higher education, issues concerning the quality of teaching at higher vocational institutions have become increasingly apparent. This study addresses these concerns by integrating the PDCA (Plan-Do-Check-Act) cycle theory to develop a robust assessment system for evaluating teaching quality in higher vocational colleges. Utilizing a combination of hierarchical analysis and entropy weighting methods, the assessment system is enhanced both subjectively and objectively. By employing higher vocational colleges and universities labeled M1 to M6 as illustrative examples, we apply linear weighted summation to derive comprehensive evaluation scores from the tested teaching quality evaluation index system. The empirical results indicate that the cumulative variance contribution rate of the assessment indices reached 91.765%. In the quality assessment, M4 scored the highest with a composite score of 4.60, while M6 scored the lowest at 3.49. Comparative analysis across dimensions shows that the index scores for M6 were notably lower than those of other institutions, ranging between 3.20 and 3.80. Implementing the proposed teaching quality assurance system resulted in a substantial increase of 0.77 points in its comprehensive score. Thus, the assessment and assurance system developed in this study proves to be practically valuable, offering an effective means to enhance teaching quality and elevate the educational standards in higher vocational colleges.

Construction and analysis of a business English classroom teaching quality evaluation system based on multimodal neural network model assessment

In this paper, we propose a method for effectively evaluating the quality of business English teaching in colleges and universities. The approach is based on a multimodal neural network model integrated with grey correlation analysis. By employing the optimal data clustering criterion, we identify teaching quality evaluation indices. Subsequently, we establish a teaching quality evaluation index system using a genetic algorithm (GA) optimized Radial Basis Function (RBF) neural network. Grey correlation analysis is then applied to assess the quality of business English teaching by considering the relationship between the correlation degree and the evaluation level. The results indicate a correlation degree exceeding 0.90, signifying excellent teaching quality. The reliability of the selected evaluation indicators, assessed through retesting, surpasses 0.700, validating the evaluation results.

Research on Reconstruction and Application of Blended Teaching Quality Evaluation System under “New Economics and Management’’ Strategy

Based on the problems and deficiencies of the existing blended teaching quality evaluation index system, this study puts forward the principle of reconstructing the blended teaching quality evaluation system under the strategy of “New Economics and Management’’, and constructs a blended teaching quality evaluation system that serves the strategy of “New Economics and Management’’ in seven aspects, namely, teaching concept, teaching content, teaching means, teaching method, teaching service, teaching management, and teaching guarantee, in order to provide the basis of the school’s blended teaching reform.

Research on English Intercultural Teaching Mode in Colleges and Universities under the Background of Industry-Teaching Integration

Abstract In order to improve the practical ability of English in colleges and universities, this paper puts forward the concept of AKEE teaching based on English intercultural communicative competence under the background of integration of industry and education and designs the intercultural teaching mode of college English based on AKEE teaching under this concept, and constructs the teaching quality evaluation index system of the intercultural teaching mode of English in colleges and universities in the light of the teaching content. On this basis, the English intercultural teaching model was constructed based on the entropy weight-TOPSIS method, and the selected indicators were tested for validity using principal component analysis, and the final evaluation results were obtained by calculating the entropy weights. The results show that in the order of comprehensive evaluation, teaching effect>teacher quality>teaching content>teaching resources>teaching quality feedback, with the mean values of 0.811, 0.804, 0.803, 0.799 and 0.798, respectively. Intercultural teaching of English in colleges and universities can improve the teaching effect as well as the quality of teachers.

The construction of teaching quality evaluation system of health management majors in universities based on information fusion technology

Abstract This paper begins with the multi-level processing of instructional multi-source data using information fusion techniques, with varying degrees of abstraction of the raw data for each level of processing. The set of all possible outcomes that an instructional framework can recognize for a given instructional problem is identified through D-S evidence theory. Secondly, the m factors that affect the object of teaching evaluation are grouped into the set of factors affecting the evaluation by fuzzy evaluation method, and their factor set weight values are calculated. Finally, the teaching quality evaluation system was constructed based on the factor set weight values. The results show that the experimental obtained Kendall’s harmony coefficient reaches 0.9028, and the evaluation is reliable. The overall score rate in teaching and assessment evaluation is 0.71 to reach the expected value, which indicates that the teaching quality evaluation index system established this time has relatively good internal consistency. The evaluation index system constructed in this paper makes the classroom teaching evaluation highly operable, which can be accepted by students and teachers in the evaluation process and ensures the accuracy of the evaluation results.

Online Teaching Quality Evaluation: Entropy TOPSIS and Grouped Regression Model

With the continuous progress in Chinese higher education, the quality of online teaching has become the key to influencing that of the operation and reputation of universities and colleges. Nevertheless, the results of traditional teaching quality evaluation methods are considerably influenced by objectivity due to limitations in single-index and outdated methods. Hence, the construction of a reasonable online teaching quality evaluation model for universities and colleges presents important research significance to optimize the existing evaluation process. An online teaching quality evaluation index system for teachers at 26 observation points was set up from the perspectives of teaching objectives, process, and effect. The Technique for Order Preference by Similarity to Solution (TOPSIS) scores of 215 teachers from six universities in Henan Province, China, were evaluated using the entropy TOPSIS method. In addition, the significance of influencing factors in the ranking results of online teaching quality by teachers was analyzed using a hierarchical regression model. Results demonstrate that the weights of teaching attitude, teaching contents, and cognitive objectives were the highest and occupied the top three positions with weights of 14.94%, 12.99%, and 12.96%. By using three level-1 indexes of teaching objectives, process, and effect as the explanatory variables, students’ scores for teachers are all significant under the 1% level. According to the Chow test, the results are F (4, 207) = 2.725 and p = 0.031 < 0.05, indicating that using the online teaching duration of teachers as a grouping variable brings structural changes. Results can optimize online teaching quality evaluation and provide scientific references to evaluate the teaching quality of teachers.

AHP-BP-Based Algorithms for Teaching Quality Evaluation of Flipped English Classrooms in the Context of New Media Communication

Big data analytics constitutes a key component in the pursuit of enhancing educational efficiency. This study defines the concept of the flipped classroom in the context of new media communication, evaluates the state of audiovisual instruction in higher education, and advocates for the use of this methodology to enhance college students' English listening and speaking skills. Utilizing multiple linear regression and a conditional quantile model, this research quantifies the range of impact of flipped instruction on college students' acquisition of a foreign language. To address the deficiencies in the current evaluation process for flipped classroom teaching, it proposes a teaching quality evaluation model based on the AHP and BP neural network. The AHP constructs the teaching quality evaluation index system for the flipped classroom and ascertains the combined weights of the indices. The simulated experiment's results show that utilizing the proposed evaluation model to assess flipped classroom instruction enhances objectivity, efficiency, and precision in the evaluation process.

Evaluation of Blended Learning Effect of Engineering Geology Based on Online Surveys

Engineering geology applies geological theories and methods to the practice of engineering activities, evaluates the engineering geological conditions of the engineering site through engineering geological investigation and comprehensive research of theories, solves the engineering geological problems related to engineering activities, predicts and demonstrates the occurrence and development laws of engineering geological problems in the engineering activity area, and puts forward technical measures for prevention and control, so as to contribute to the planning, design, and construction and provide necessary geological and technical data for use and maintenance. Based on the theory of multiattribute decision-making, this paper puts forward the evaluation index system of engineering geology teaching quality in applied universities. A curriculum teaching quality evaluation index system is constructed, which is composed of four main indexes: online resources and teaching, offline teaching process, classroom teaching quality evaluation, and classroom teaching quality evaluation. Furthermore, 11 second-class indices and 28 third-class indices are considered. The judgment matrices and membership degree of each attribute are obtained through use of a questionnaire, and the total weight of each subitem is calculated using the analytic hierarchy process. The calculation results show that the classroom instructional quality of the engineering geology course can be considered excellent; furthermore, other courses could also be evaluated using the same method, where those with low evaluation results can be further improved. Using the fuzzy comprehensive evaluation method based on the analytic hierarchy process, we evaluate the instructional quality, comprehensively consider the nonlinear and fuzzy characteristics of evaluation factors, can scientifically calculate the weight value of each evaluation index, and combine qualitative and quantitative aspects, in order to objectively provide an evaluation of the classroom instructional quality of teachers, which is conducive to the high-quality construction of university courses.

Research on Online and Offline Mixed Education Mode in Post Epidemic Era Based on Fuzzy Neural Network-Taking Introduction of Petrochemical Equipment Management as an Example

<p>In the post epidemic era, the online offline mixed teaching mode is in the development period, and college teachers and students are gradually familiar with this teaching mode. Taking the course introduction to petrochemical equipment management as an example, this paper deeply analyzes the development path of online offline mixed teaching mode. First of all, this paper explores the bottleneck of online teaching in the epidemic era, deeply analyzes the relationship between online teaching and offline teaching, and puts forward the possibility of integration of offline teaching and online teaching. Based on the above analysis results, this paper summarizes the opportunities of Blended Teaching in the post epidemic era. This paper puts forward the practice path of the online and offline mixed teaching mode of “Introduction to petrochemical equipment management”. Finally, the online and offline mixed teaching quality evaluation model of “Introduction to petrochemical equipment management” is constructed, the mixed teaching quality evaluation index system is determined, and the evaluation model based on improved firefly algorithm optimization fuzzy neural network is constructed, and the example analysis is carried out, and the online and offline mixed teaching quality of “Introduction to petrochemical equipment management” is determined as good, It provides a favorable theoretical basis for the reform strategy of mixed teaching mode, and also verifies the effectiveness of the evaluation model.</p> <p> </p>

Construction of the teaching quality evaluation index system for clinical teachers of undergraduate nursing students based on teaching managers' perspective

Objective To construct the teaching quality evaluation index system for clinical teachers of undergraduate nursing students based on teaching managers' perspective so as to provide a basis for clinical teaching management of undergraduate nursing students. Methods From May 2018 to September 2019, the expert enquiry questionnaire on the teaching quality evaluation index system for clinical teachers of undergraduate nursing students based on teaching managers' perspective was developed by the literature review and expert interview. Delphi technique was used to select 20 nursing teaching management experts, 16 of them from 4 ClassⅢ Grade A teaching hospitals in Beijing, 4 of them from a nursing undergraduate university to carry out two rounds of expert enquiry. Results The initial construction of the teaching quality evaluation index system for clinical teachers of undergraduate nursing students based on teaching managers' perspective included 5 first-level indexes and 30 second-level indexes. The valid recovery rates, expert authoritative coefficients, Kendall coordination coefficients of two rounds of expert enquiry questionnaire were 100%, 0.83 and 0.86, 0.395 and 0.554 respectively (P<0.01) with the satisfied consistency test results and credible enquiry results. Conclusions The construction of the teaching quality evaluation index system for clinical teachers of undergraduate nursing students based on teaching managers' perspective is scientifically rigorous. The system has definite evaluation indexes, rational administrative levels, objective and reliable system which could provide a basis for clinical teaching management of undergraduate nursing students. Key words: Students, nursing; Undergraduate students; Clinical teachers; Quality evaluation; Delphi technique

基于校院两级督导制度的教学质量评价指标体系构建研究

基于校院两级督导制度的教学质量评价指标体系构建研究

THE FUZZY COMPREHENSIVE EVALUATION OF AGRICULTURE ENGINEERING TEACHING

The evaluation process of agriculture engineering teaching is multi-level with multi-factors and prone to be affected by subjective factors. In reference to the experience and methods of EU in the optimization of higher education and teaching, this paper constructs the teaching quality evaluation index system according to the actual situation of the classroom teaching while considering the major setup and geographical distribution of agriculture engineering. A questionnaire survey is conducted on the professors, employers, students and graduates of five colleges and universities, and on this basis, the fuzzy mathematics theory is adopted to analyze the data with the fuzzy comprehensive evaluation method. The evaluation of the current situation of agriculture engineering teaching is obtained to provide a reference for the further deepening of teaching reform. The results show that this method can effectively improve the accuracy, objectivity and rationality of the evaluation.

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

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.

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

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.

Building of Quality Evaluation Index System of Practical Teaching in Colleges and Universities

Practical teaching is an important part of college undergraduate course teaching, which is an important way to implement the applied talents training objectives. Strengthening the quality management of practical teaching process, which has a very important significance of improving the quality of undergraduate teaching. This paper on the basis of analyzing the practical teaching quality impact factors, applies analytic hierarchy process to build a set of practice teaching quality evaluation index system in colleges and universities, in order to make an objective evaluation on the implementation of practical teaching process. Therefore, it can improve the practical teaching quality in colleges and universities. Key words: Practical teaching; Quality evaluation; Index system