Teaching Quality Evaluation Index Research Articles

Research on the Construction and Application of Teaching Quality Evaluation Indicator in Vocational Undergraduate Colleges

Teaching quality evaluation is of great significance for improving the quality of running a vocational undergraduate college. This paper adopts the empirical research method to carry out the empirical research on the teaching quality evaluation of vocational undergraduate colleges. It is found that there are certain problems such as inadequate cognition and insufficient facilities. By constructing the teaching quality evaluation index system and applying it in the actual teaching, this paper provides a high-quality management models and broaden the evaluation perspectives for the optimization of the teaching quality evaluation system in vocational education. It also enriches the connotation of the teaching quality evaluation management model in terms of methods and practices. The goal is to improve the educational quality of a specific vocational undergraduate college.

Research on the construction of ideological and political education teaching evaluation system in university courses--taking public finance as an example

Actively improving the teaching quality of ideological and political education courses and promoting all kinds of courses to go hand in hand with ideological and political education courses are important prerequisites for universities to implement the fundamental task of building morality and cultivating talents, and also the core essence of ideological and political work in universities in the new era. In order to improve the level of ideological and political education courses in universities, it is particularly crucial to establish a scientific and rigorous teaching evaluation system. Therefore, this paper takes the professional course of "Public Finance" as an example to construct the teaching quality evaluation index system based on the Guidance Program for the Construction of Ideological and Political Education in Colleges and Universities, in order to provide reference for the theory and practice of ideological and political education in other liberal arts professional courses.

Online and offline mixed teaching quality assessment method for physical education class based on value assignment method

Abstract The blended teaching mode combines the advantages of online and offline teaching, which can improve the effect of university physical education teaching. The article takes the acquisition path of students’ multidimensional learning behavior data as the entry point, introduces the data preprocessing method after acquiring online learning behavior, and then establishes the online-offline blended teaching quality evaluation index system for physical education classes based on the CIPP model. The subjective and objective weights of the evaluation indexes are solved by using the AHP method and the improved pull-apart grade method, and the comprehensive, integrated assignment method is introduced to weigh the subjective and objective weights in order to obtain the comprehensive weights. Based on the weights of the indicators obtained by AHP-ISD, a teaching quality assessment model for physical education courses was established by combining the SVM model, and the SMO algorithm was selected to optimize the training of the model. To assess the application effectiveness of the model, a comprehensive assessment of its teaching quality was carried out, and the teaching effect of the blended teaching mode was also explored. The weight of the learning outcome evaluation index is 0.438 at most, the accuracy of the SMO algorithm training model is up to 99.99%, and the range of error scores between the model evaluation value and the actual value is between [0.01,0.03] points. The teaching quality assessment model based on the assignment method can obtain more accurate teaching quality assessment results for physical education courses and provide a new direction for optimizing the hybrid teaching assessment method of physical education courses.

An Exploration of the Teaching Mode of Civics and Politics in English Education Courses of Higher Vocational Colleges and Universities Based on Big Data Technology

Abstract Under the requirements of the educational background of the new era, establishing moral character has become the fundamental task of education, and at the same time, it also brings new challenges and opportunities for English education in higher vocational colleges and universities. Based on the core qualities of the curriculum Civics and Politics, we explore the point of fit between English education and it so as to deeply analyze the integration mechanism of the curriculum Civics and Politics in English education and complete the construction of the teaching model of the curriculum Civics and Politics in English education by combining with the big data technology. On this basis, taking S higher vocational colleges applying this model as an example, the expert scoring method is used to construct the teaching quality evaluation index system and assign weights, and the fuzzy comprehensive evaluation model is used to assess the quality of education. Core literacy and comprehensive ability have the highest weights of 0.2836 and 0.2866 respectively, respectively, which are key areas for cultivation. Finally, through the quality evaluation of the education model of this paper, it can be seen that the highest score of comprehensive ability is 90.21, which is at the excellent level, and the lowest score of values cultivation is 81.98. and the scores of each index are above 80. The average score of the education model of this paper is 85.13, which proves that the quality of teaching under the teaching model is good. It has an excellent performance in the cultivation of English talents. It is a good example of Big Data Technology, and the integration of the English education program Civics provides a feasibility with practical significance.

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.

Exploring the Construction and Practice of College English Blended Teaching Model Based on Fuzzy Comprehensive Teaching Evaluation Model

Abstract In order to explore a new English teaching mode, this paper constructs a hybrid teaching model of English in colleges and universities combined with multimedia to respond to the call for reform and innovation of teaching mode. Firstly, through analyzing three hybrid modes of teaching: complementary mode, flipped mode and cooperative mode, a multimedia-based hybrid English teaching model is constructed in combination with current multimedia technology. Secondly, the fuzzy comprehensive teaching evaluation model based on EWM-AHP-DEMATEL and the teaching quality and learning quality evaluation index system of the hybrid English teaching mode in the multimedia context were constructed. Then in the teaching evaluation system, it was found that the satisfaction of teaching materials construction after the improvement was only 85%. There is still a lot of room for improvement, but overall, all have more than 5% satisfaction improvement. In the learning evaluation system, the number of outstanding students in English class participation, English accompanying test, innovation challenge, and English practice all increased by more than 5, and the number of those needing efforts decreased by more than 3. The overall grade improved by about 12% compared to the previous semester. Finally, the conclusion found that this new teaching model can improve teaching ability and students’ English learning ability and is worth implementing in colleges and universities.

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.

Curriculum Construction Practice of Ideological and Political Education Based on the IPO Model

Abstract This paper establishes the teaching quality evaluation model and index system of ideological and political education with quality products as the core. This method was used to investigate 1140 college students in 10 universities. The results show that college students ignore intrinsic motivation and goals and lack ideal thinking in learning quality. In terms of course quality, there are some problems: the overall level of students’ investment in the course is not high, and their satisfaction with the course teaching is not high. The results of empirical analysis show that the multiple linear regression estimation based on the IPO method can better resist outliers and get a better prediction effect.

Construction and Empirical Research of Teaching Quality Evaluation Index in Application-Oriented Universities Based on OBE Concept

Teaching quality is the development goal of higher education. Classroom teaching is closely related to teaching quality. The evaluation of classroom teaching quality that is suitable for college types and education models can promote and stimulate the improvement of teaching quality. The traditional teaching evaluation in application-oriented universities has problems such as evaluating content rather than ability, evaluation method focusing on results and less on the process, and evaluation indicators focusing on concepts and lack of pertinence. It is necessary to evaluate the teaching quality comprehensively and objectively from the perspective of education and teaching mode and the orientation of talent cultivation. Under the specific outcome-oriented (OBE) education and teaching model, the exploratory factor analysis method is used to construct a student-centered classroom teaching evaluation index system, covering 6 first-level indicators and 15 second-level evaluation indicators. Clarify the index weights at all levels of the index system to evaluate the quality and effect of classroom teaching under the OBE teaching concept. The evaluation index system, based on the OBE teaching concept, is a systematic framework, focusing on ability training, process evaluation, and targeted evaluation issues, enabling not only to improve the depth and breadth of the teaching evaluation but also helping application-oriented universities to promote the OBE education concept and achieve education and teaching high-quality development the goals.

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.

The Application of Interactive Effect Evaluation Model in the Teaching of College Mathematics Courses

Mathematics courses in higher education (advanced mathematics, linear algebra, etc.) are characterized by abstract concepts, many easily confused concepts, many nature theorems, and large amount of calculation of many difficulties. In most cases, due to the knowledge level, knowledge structure, and requirements of the teaching process, the traditional mathematics teaching adopts the straight-to-point approach to the introduction of mathematical concepts, and the explanation of property theorems mostly adopts the method of giving the theorems first and then analyzing and proving them for the calculation problems are mostly manual calculation. Educators are mainly concerned with how to organize teaching so that the trainees can acquire more knowledge, while ignoring the subject status of the trainees, and it is often related to the talents of higher education. The training goals are consistent. The traditional mathematics teaching only reflects a function of knowledge inheritance, but lacks the function of knowledge innovation. The lack of concept generation process in teaching makes the abstraction stronger; the lack of case analysis process makes the applicability weaken; and the serious separation of engineering problem solving and computer operation makes it lack of practicability. The current mathematics knowledge and curriculum make students in a passive position in the process of mastering basic knowledge. From the study about the present condition of the math education and the real requirement, the thesis will talk about content, characteristics, and the relationships for the practical education along with interactive teaching process. What is more, the ways of education and online education is able to be presented. At the same time, this paper also obtains the maximum weight value of each teaching quality evaluation index through analytic hierarchy process, introduces the quadratic fuzzy comprehensive calculation method of fuzzy operator, and determines the maximum component of the evaluation level as the final evaluation level according to the most subordinate degree criterion of fuzzy comprehensive evaluation. Especially in the formulation of teaching quality evaluation model in China, the qualitative description is processed quantitatively by the method of fuzzy mathematics and statistics, so that the qualitative index and the quantitative index are organically combined.

Analyzing the Network Evaluation Model in Mobile Learning Environment to Monitor Different Capabilities of Students

In light of the current ideological and political teaching quality’s poor impact, this paper proposes the construction and research method of a network ideological and political teaching quality evaluation model from the perspective of school-enterprise cooperation, optimises the network ideological and political teaching model using the Internet technology, constructs the teaching quality evaluation index and algorithm, and realizes the optimization of the ideopolitical teaching model. Finally, it is confirmed by experiments. According to the viewpoint of school endeavor collaboration, the organization’s philosophical and political quality evaluation model has higher practicability during the time spent in commonsense application and completely meets the examination prerequisites.

Deep Learning-Based Correlation Analysis between the Evaluation Score of English Teaching Quality and the Knowledge Points.

As one of the three main courses from primary school to senior high school, improving the quality of English teaching in and out of class has become the top priority of colleges and universities. English knowledge points are complex, and domestic scholars have studied vocabulary knowledge and grammatical awareness from various perspectives, but there is still a lack of research on the correlation between vocabulary knowledge, grammatical awareness, and cloze test scores of senior high school students. Therefore, this paper carries out empirical research from the depth of English vocabulary, English grammar, reading comprehension, cloze test, and composition, aiming at exploring the relationship between teaching quality and English knowledge points. Classroom teaching quality evaluation is the basic content of education quality evaluation, which not only needs to evaluate the effect of class hours but also needs a student's long-term learning effect. In order to improve the quality of classroom English teaching, enrich the content of classroom English, and ultimately make the quality of students' learning to a higher level, the combination model of the teaching quality evaluation index is established by combining the decision tree with the knowledge point rule association method and the evaluation results are verified by association rule analysis. This paper selects the effective indicators that affect the evaluation of English teaching quality, determines the weight of the indicators by using the analytic hierarchy process, effectively constructs the combination model of the decision tree and rule association method, and establishes the evaluation model of students' English learning ability in the classroom. Taking students as the main object and combining them with the requirements of digital teaching, the evaluation index system is formed, the index weight is determined by using the analytic hierarchy process, and the classroom teaching quality evaluation model based on the decision tree and English knowledge point correlation analysis is constructed to truly reflect the teaching level of teachers, and the correlation analysis is carried out between English teachers' own quality and students' learning effects and knowledge points. By testing the model performance of English vocabulary depth, reading comprehension, grammar, writing, and other knowledge points, we can well evaluate and analyze students' mastery of English learning and the correlation of English knowledge points.

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.

Piano Information Teaching Mode Based on Deep Learning Algorithm

In order to improve the effect of piano information teaching, a piano information teaching mode based on deep learning algorithm is proposed. The teaching objectives are divided into three levels: classroom teaching objectives, curriculum objectives, and education and training objectives. A piano information classroom integrating cloud application platform, teaching platform, resource platform, learning space, and interactive classroom is built. The previous teaching mode is optimized to build an innovative teaching mode of piano information classroom. The evaluation index system of piano informatization classroom teaching quality is constructed, and the hierarchical structure model of each evaluation index is established by using the analytic hierarchy process. The hierarchical analysis method is used to establish a hierarchical structure model of each evaluation index. The judgment matrix is determined by the nine-digit scale method. After the consistency verification of the judgment matrix, the weight of the quality evaluation of piano information classroom teaching is calculated. The new mode optimizes the weight and threshold of BP neural network in deep learning algorithm by genetic algorithm (GA). The weight of each classroom teaching quality evaluation index is input into the GA-BP neural network, and the network output result is the piano information classroom teaching quality evaluation score. The test results show that the optimal number of hidden layer nodes for the BP neural network is 7, when the GA-BP neural network iterations are 95. This method can evaluate the quality of piano information classroom teaching, with high evaluation accuracy and strong practical application.

Exploration on the Application Path of College English MOOCS Teaching under the Background of Internet of Things

While the development of information and communication technology has brought great changes to social industrial structure and economic development, it has also reshaped people's cognition and thinking modes to a great extent and has paid attention to the field of education under the guidance of technology. The reform of education is taking place. According to the background of the Internet of things, the teaching quality evaluation index is reconstructed with the help of principal component analysis, support vector machine, and fuzzy algorithms, and the application performance and practical results of the improved teaching path are analyzed. The results show that the evaluation accuracy of the improved hybrid algorithm for teaching quality reaches more than 90%, and its evaluation time is far less than that of the SVM algorithm (10.23 s), and it has a good application effect on the evaluation of teaching quality. The increase of students' satisfaction with the improved teaching quality has reached 5.8%, and their professional skills have improved by 6–25 points. After expert evaluation, it is found that the maximum satisfaction frequency of teaching content and teaching effect can reach 96.7% and 91.3%, respectively. Reconstructing the index system of the English path under the background of the Internet of things can better grasp students' learning needs and integrate multiple methods to provide new research ideas for follow-up English teaching.