Teaching Quality Evaluation System Research Articles

Research on teaching quality evaluation of higher vocational architecture majors based on enterprise platform with spherical fuzzy MAGDM

Abstract Teaching quality evaluation is a process of evaluating the teaching quality of architectural majors. It can not only evaluate the teaching level of teachers, but also evaluate the learning effectiveness of students. Therefore, this study designs a teaching quality evaluation system for architecture majors based on fuzzy environment, in order to provide direction guidance for effectively evaluating the teaching quality of architecture majors by using this research. The teaching quality evaluation of higher vocational architecture majors based on enterprise platform is a multiple-attribute group decision-making (MAGDM). The spherical fuzzy sets (SFSs) provide more free space for decision makers to portray uncertain information during the teaching quality evaluation of higher vocational architecture majors based on enterprise platform. Therefore, this study expands the partitioned Maclaurin symmetric mean operator and induced ordered weighted average operator to SFSs based on the power average technique and construct induced spherical fuzzy power partitioned MSM (I-SFPPMSM) technique. Subsequently, a novel MAGDM method is put forward based on I-SFPPMSM technique and spherical fuzzy number weighted geometric technique under SFSs. Finally, a numerical example for teaching quality evaluation of higher vocational architecture majors based on enterprise platform is employed to verify the put forward method, and comparative analysis with some existing techniques to testy the validity and superiority of the I-SFPPMSM technique.

Research on the Evaluation System of Practical Teaching Quality of Engineering Specialty in Higher Vocational Colleges in China under the Background of Informatization

In the latest "Opinions of the Ministry of Education on Comprehensively Improving the Quality of Higher Education" (Jiao Gao [2012] No. 4), the Ministry of Education points out the need to further improve the quality standards system for talent cultivation and formulate and implement national standards for the teaching quality of undergraduate and higher vocational specialties .The goal of talent cultivation in Chinese higher vocational colleges is to cultivate technical personnel who are capable of meeting the needs of frontline production, construction, management, and service. Therefore, in order to improve the teaching quality of higher vocational colleges, it is necessary to establish a teaching quality evaluation system that is in line with the laws and characteristics of higher vocational education. This paper aims to study the construction and innovation of teaching evaluation system under the background of information age based on the development status and existing problems of practical teaching quality of engineering major in higher vocational colleges, and put forward targeted and original suggestions to provide strategic reference for the further development of curriculum teaching quality in higher vocational colleges.

Research on the Integrating Ideological and Political Education into Entrepreneurship Education in Higher Vocational Colleges under the Perspective of Three Complete Education

In the new period, to promote the organic integration of entrepreneurship education and ideological and political education, to build entrepreneurship education with outstanding characteristics of vocational education, and to accurately grasp the opportunity situation, is an important hand in building the pattern of ideological and political education of "Three Complete Education" (all-member, all-process, all-round education). At present, the integration of ideological and political education into entrepreneurship education of vocational college students is faced with difficulties such as the entrepreneurship curriculum to be improved, the lack of ideological and political integration, and the imperfect modern evaluation mechanism. The construction of entrepreneurship education course ideology and politics must highlight the ideological guidance, keep up with The Times to create entrepreneurship courses; deepen the educational practice, cultivate high-quality specialized teachers; embedded in the elements of nurturing, explore the teaching quality evaluation system, implement the fundamental task of moral education, and help cultivate high-quality technical and skilled talents.

Music Education Teaching Quality Evaluation System Based on Convolutional Neural Network

Music education, as a quality training education, plays an important role in promoting the all-round development of students. Music evaluation is often highly subjective. However, the objective quantification can be achieved to a certain extent through the construction of music education and teaching quality evaluation system. In this study, CNN algorithm is applied to the evaluation model of music education teaching. Compared with the traditional manual feature extraction method, CNN algorithm can automatically capture the target depth features. In the experiment, the effectiveness of convolutional neural network is evaluated by means of model comparison and analysis. Taking GTZAN database as the experimental training sample, 2000 Mel spectra, 1500 training sets and 500 test sets were obtained, and the relevant parameters were initialised. The research results show that the dense network model has the highest accuracy rate in the training set in the identification and analysis of the relevant features of Mel spectrum. The model’s value is about 0.917, which is 0.024, 0.041, 0.086 and 0.098 higher than Res Net model, Perception Net model, VGG Net model and Alex Net model, respectively. Meanwhile, its loss curve effect, [Formula: see text]-value and AUC value reached the optimal level in all models, with the highest [Formula: see text]-value and AUC value reaching 0.926 and 0.922, respectively. In addition, in the test set, the average accuracy of this model is also better than other models. The comprehensive analysis shows that the model performs well in the evaluation system, which plays an important role in the evaluation of music education and teaching quality.

Analysis of English Teaching Quality Evaluation in Colleges and Universities Based on AHP Modeling

Abstract English in colleges and universities is an important subject for learning, so it is especially important to evaluate and analyze the quality of teaching English in colleges and universities. This paper constructs the evaluation system of college English teaching quality based on the AHP model, builds the three-level index model of college English teaching quality by combining the relative importance level of Sta, and then carries out the normalization process to determine the importance degree of the indexes at all levels. Combined with factor analysis and data analysis of the results of the expert consultation on the indicator model to measure the factors affecting the quality of teaching in colleges and universities for the overall evaluation and analysis. From the validation data, it can be seen that there are 24 correlation coefficients above 0.5 and 12 above 0.8 in the model influence factor testing. The standardized factor loadings of each potential variable are all greater than 0.75, and the average variance extractions are all greater than 0.65, effectively verifying the internal consistency and convergent validity of the indicator model. In the validation data of the teaching evaluation system, the individual scores of the three-level indicators are all greater than 90, indicating the effectiveness and appropriateness of the teaching evaluation system. The construction of an English teaching quality evaluation system in colleges and universities is conducive to the improvement of teaching management and a more precise grasp of the improvement of teaching quality.

The Construction of Teacher’s Teaching Quality Evaluation System Based on the Teacher-Student Cooperation Model

Within the framework of advancing educational evaluation reform in the modern era, establishing a scientific and rational assessment system for the quality of teacher’s instruction holds immense importance. This contributes to the further development of autonomous evaluations within colleges and universities, fosters enhancements in higher education evaluation systems, and supports the modernization of higher education governance. Considering the evolving demands for cultivating excellence in higher education, the assessment of teachers’ instructional quality continues to face challenges, encompassing evaluation criteria, categorization guidelines, system enhancements, digital adaptation, and more. In the construction of a quality assessment system for teacher’s instruction in higher education, continuous optimization of the evaluation system for teaching quality is essential. This optimization should be driven by scientific principles, grounded in collaboration between teachers and students, and aligned with fundamental principles, including categorized assessment, process orientation, digital integration, and more.

The application of OBE fused with PDCA teaching model in teaching business English

Abstract Aiming at the problems existing in traditional business English teaching, this study, based on the OBE teaching concept, creates a business English teaching model consisting of two aspects, namely, the teacher-led PDCA major cycle of enhancing learning outcomes output and the student-led PDCA minor cycle of learning management. On this basis, the College of Foreign Languages of a university is taken as an example for practical application, and the PDCA+OBE business English teaching quality evaluation system is established. For the interval number judgment matrix, the interval number judgment matrix is decomposed. Then, the sorting weight vector of the interval number judgment matrix is calculated using the characteristic root method. The results show that reading (P = 0.005), listening (P = 0.032), speaking (P = 0.037), and translation skills improve significantly after PDCA+OEB business English teaching. In the quality evaluation, the teaching method has the most significant influence on the quality of business English teaching, and its weight reaches 0.323. Followed by teaching attitude, and its weight reaches 0.274. In conclusion, the PDCA+OBE business English teaching classroom can significantly improve the quality and effectiveness of teaching, and the students’ satisfaction is high.

The Construction of Undergraduate Course Teaching Quality Evaluation System Based on PBL

The Construction of Undergraduate Course Teaching Quality Evaluation System Based on PBL

Intelligent Assessment of Teaching Quality of Computer Technology Courses in Colleges and Universities Based on ISSA-DRNN

Abstract With the continuous development of artificial intelligence technology, its application in the teaching of computer technology courses in colleges and universities is gradually deepened. In this study, the traditional sparrow search algorithm (SSA) is first processed to find the optimal solution, and then the ISSA algorithm is proposed and modeled. Training the deep recurrent neural network algorithm (DRNN) and combining it with the ISSA algorithm resulted in the construction of the teaching wisdom assessment model for the course. Finally, a teaching quality evaluation system for computer courses is constructed and applied to explore changes in teaching quality. The results show that in the assessment of the teaching quality of computer technology courses, the course structure and the teacher’s profile occupy the highest weight, and the weights occupied by these two items are more than 0.7. Secondly, the accuracy of the ISSADRNN model reaches more than 95%, and the maximum error is 0.0284. The average scores of each index system are more than 88. The overall performance is good and close to excellent. The model output’s actual value is within the expected range and has high accuracy. It can be seen that the intelligent assessment model of computer teaching quality proposed in this study has broad application potential and practical value.

The Construction of Online Education Quality Evaluation System Based on Intelligent Algorithm

Abstract With the development of the network, online education breaks the defects of time and space, and becomes a way that more and more students choose to learn. This paper combines grey correlation analysis, optimizes BP neural network using PSO particle algorithm, and constructs GRA-PSO-BP model. The initial education evaluation indexes are improved by this intelligent algorithm model to construct an online education quality evaluation system, and then the optimized index system is used as a guide to evaluating the online education quality using this model. The results show that: the dispersion of the data of each index is R 2 = 0.92, which is greater than 0.75, and there is a strong connection between the indexes. The results show that the dispersion of the data of each index is greater than 0.75, and there is a strong connection between the indexes. The 10 colleges and universities scored 3.77, which is a satisfactory grade. The online education quality of these 10 colleges and universities are ranked from high to low as G5, G10, G9, G4, G6, G1, G3, G2, G7 and G8. The intelligent algorithm model and online education quality evaluation index system constructed in this paper can provide help for online education quality evaluation.

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.

The Application of CIPP Model in the Evaluation of Teaching Quality of College Education in the Context of New Era

Abstract The flaws in the conventional teaching quality evaluation system that have always existed have not been fixed since the start of the new century. This study suggests a teaching assessment model for college education that utilizes the CIPP model since there is a pressing need for a model that can satisfy the demands of the modern educational environment. The investigation examines the relevance of both approaches to teaching quality evaluation in educational institutions by combining the advantages of CIPP and BP neural networks. The artificial neural network’s working mechanism is described, the weights within the BP learning algorithm are modified, and the first version of the teaching assessment model is inferred based on an analysis of the structure and function of neurons. The conceptual model of teaching quality assessment in higher education is intended to be completed by the model’s algorithm and framework. Investigate and analyze the teaching quality of S colleges and universities using the empirical analysis approach. The results of the empirical investigation show that the correlation coefficients of the 4 dimensions of teaching evaluation are above 0.6, with control between 0.3-0.8, and they have a strong correlation. The Cronbach’s alpha coefficients of the survey are all above 0.7, with very good reliability.

Teaching quality evaluation of college civic and political science courses based on BP neural algorithm

Constructing the evaluation system of ideological and political education of new media in colleges is both beneficial to evaluate the established ideological and political education work and an important guide to improve the corresponding work. At present, promoting ideological and political education work with high integration of information technology has become an important way of ideological and political education work in colleges. However, the theoretical circles are still not focused enough on how to evaluate the ideological and political education work in colleges. Based on the characteristics of the information age, this paper establishes the teaching quality evaluation system of ideological and political education courses in colleges, introduces BP neural network evaluation method, and obtains strong empirical support through simulation experiments, so as to build a feasible teaching quality evaluation model of ideological and political courses in colleges. At the same time, the corresponding optimization suggestions are put forward, including improving the relevance of ideological and political education work, dynamically grasping students’ ideological and political information and doing a good job of data processing, and improving the professional information literacy of the ideological and political work team, in order to provide some reference for the efficient development of ideological and political education work in colleges.

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.

Application of Weighted Comprehensive Evaluation Model in Teaching Quality Evaluation System of Computer Class Vocational Education

Abstract This paper firstly constructs the entropy weight-TOPSIS weighted comprehensive evaluation model, uses the entropy weight method to determine the indicator weights, and establishes a standardized evaluation matrix to evaluate the evaluation object through the TOPSIS model. Then, the evaluation model of teaching quality of vocational education, including teaching environment, curriculum construction, teaching content, implementation effect and teaching support level, was established, and the weight teaching evaluation of each index was made by using the entropy weight-TOPSIS model. Finally, the quality of teaching in the school was measured and analyzed, and the expected and perceived mean of different indicators were compared and calculated. The results show that the gap between the perceived teaching quality of each dimension of the indicators is basically controlled between [-1.0,-0.7], and the overall teaching quality evaluation result is -0.86, and the teaching quality needs to be improved urgently. This paper examines the teaching quality of vocational education, finds its problems, puts forward reform opinions, and promotes the development of the vocational education talent force in the direction of higher quality.

Application Deep Extreme Learning Machine in Multi-dimensional Smart Teaching Quality Evaluation System

INTRODUCTION: The construction of the wisdom teaching evaluation system, as the essential part of the institution's teaching reform, is conducive to developing the institution's disciplines, making the existing teaching more standardized, and making the means of teaching diversified, intelligent, and convenient.
 OBJECTIVES: Aiming at the current intelligent teaching evaluation design method, there are evaluation indexes that need to be more comprehensive, a single method, and system standard limitations.
 METHODS: Proposes an intelligent optimization algorithm for a multi-dimensional innovative teaching quality evaluation method. First of all, the multi-dimensional wisdom teaching evaluation system is constructed by analyzing the influencing factors of teaching quality evaluation; then, the parameters of the depth limit learning machine are optimized by the bird foraging search algorithm, and the multi-dimensional wisdom teaching evaluation model is constructed; finally, the validity and stability of the proposed method are verified by the analysis of simulation experiments.
 RESULTS: The results show that the proposed method improves the accuracy of the evaluation model.
 CONCLUSION: Solves the problem of low evaluation accuracy and incomplete system of teaching quality evaluation methods.

Analysis of Innovative Talent Cultivation Strategy of Vocational Education under the Strategy of Developing the Country through Science and Education Based on Big Data Investigation

Abstract This paper is based on the big data survey under the strategy of science and education to develop the country and analyze the talent job skill demand. According to the social demand for education and the characteristics of the student source to design and formulate the talent training structure, through the cultivation of talents and social demand for game analysis, using linear programming methods to establish the game model of talent training mode. Game theory equilibrium theory can be used to solve on the basis of benefit function. The results of the teaching quality monitoring and evaluation system show that the students in this school achieved 9.7 in innovation consciousness and 9.5 in practical ability. The one-time signing rate reached 8.9, and the employment rate reached 7.7. It verifies that the talent cultivation strategy proposed in this paper can improve the quality, reduce the cost of talent cultivation of the enterprises and improve the practicability of the talents.

Assessment of nursing-related teaching quality based on fuzzy comprehensive evaluation

Abstract This paper designs a scheme for a nursing professional teaching quality evaluation system, including constructing an evaluation index system and a nursing teaching quality evaluation model based on a fuzzy comprehensive evaluation. Among them, the establishment of a fuzzy comprehensive evaluation model involves the determination of fuzzy operators and the processing of evaluation indexes. Finally, the constructed method was used to conduct a study on evaluating nursing teaching quality in College H for students of different academic years. The results showed that freshman, sophomore, and junior students were inconsistent in all aspects of faculty teaching effectiveness and overall evaluations. The total rating of freshmen was 18.34±0.17. The total rating of sophomores was 20.50±0.15. The total rating of juniors was 23.46±0.12. And 66.7% of the faculty members thought that the quality of nursing teaching at the university was not up to standard. Therefore, this paper provides a valid assessment method for nursing education.

Research on the Innovative Path of Student Management in Universities-Based on the Perspective of Medical Intern Mentoring System

Universities are important professional talent training bases in China. Promoting the reform and innovation of student management in universities is a solid foundation and strong guarantee for cultivating talents of the new era who possess both moral integrity and talent, and are fully developed. Currently, the traditional management of college students lags behind, teachers lack enthusiasm for teaching, and students lack the ability to learn independently. In order to improve the level of student management and the quality of clinical internship teaching, this article focuses on the opportunities and challenges faced by university student management work, always adhering to the logical mainline of high-quality talent cultivation, and starting from the research background, existing problems, influencing factors, and countermeasures of the internship supervisor system, constructing a student-centered clinical teaching concept and establishing a diversified teaching quality evaluation system. It’s important to standardize the rules and regulations of the mentor system, innovate teaching ideas, improve the assessment and incentive mechanism of the mentor system for medical interns, continuously improve the hospital teaching system, establish a suitable teaching management system, enhance the effectiveness of university student management work, and serve the cultivation of high-quality talents.

Retracted: College English Teaching Quality Evaluation System Based on Information Fusion and Optimized RBF Neural Network Decision Algorithm

Retracted: College English Teaching Quality Evaluation System Based on Information Fusion and Optimized RBF Neural Network Decision Algorithm