Teaching Quality Evaluation Research Articles

A Study on Data-Driven Cluster Analysis of Teaching Quality in Civic and Political Education in Colleges and Universities

Abstract The implementation of teaching quality evaluation has a certain guiding effect on a series of teaching works, such as teaching reform and teaching management, and the selection of appropriate evaluation methods is very important for the implementation of teaching quality evaluation. In this study, the hierarchical analysis method and K-means clustering algorithm were used to construct and assess a teaching quality evaluation model for college Civics education. Prior to evaluating the teaching quality of Civic and political education in colleges and universities, the hierarchical structure model and index system were established using the hierarchical analysis method. Then, the K-means clustering algorithm is utilized to execute the data mining work to assess the quality of data-driven teaching through clustering. The algorithm’s purity and F1 values are 0.895 and 0.834, respectively, and it performs well in clustering. Finally, the clustering analysis of the teaching quality of college civic education was conducted. The final scores of teaching quality, teaching method, teaching content, teaching effect, and teaching characteristics accounted for 98.28%, 87.76%, 88.03%, 71.4%, and 83.2% of the total scores of each, respectively. All the scores are in the middle of the range, indicating that the overall teaching situation is in the middle of the range with better results. The purpose of this study is to provide lessons and references for cluster analysis of civic education teaching quality in colleges and universities.

A novel integrated picture fuzzy MACONT method and its application in teaching quality evaluation in higher education

A novel integrated picture fuzzy MACONT method and its application in teaching quality evaluation in higher education

Vocal music curriculum design and teaching quality evaluation in colleges and universities based on interactive structure model

Abstract Aiming at the current phenomenon of low teacher-student interaction in vocal music teaching, this paper combines the interaction structure model for the innovation and practice of college vocal music courses. Then, this paper uses Euclidean distance to improve the binary tree SVM multi-class classification algorithm, calculates the distance between the teaching samples of each vocal music course, classifies the samples for processing, and obtains the DBT-SVM multi-class classification algorithm. Finally, the DBT-SVM algorithm was used to establish an evaluation model for vocal course teaching quality in colleges and universities to assess the quality of vocal course teaching models. Each three-level index of teaching motivationality has an evaluation score above 80, which is a good level. The evaluation score for the pedagogical index is 89.44, which is almost excellent. The average score of the second-level index of interpersonal interaction is 74.52, which needs to be further improved. The teaching model of the college vocal music course proposed in this paper lays the foundation for the interactive transformation of vocal music teaching and provides a reference model for the improvement of the learning effect of college students’ vocal music courses.

Exploration and Practice of Educational Teaching Evaluation Reform in Higher Vocational Colleges Based on Big Data Technology

Abstract This paper constructs an evaluation model of education and teaching in higher vocational colleges based on big data technology, which focuses on students’ individual development and adapts to the “double-high program” goal. The evaluation index system of education and teaching quality established by the study contains 5 first- and 22 second-level indicators. The empirical Analysis takes QH College in R province as an example and analyzes the educational teaching data from 2018-2023. During this period, the mean values of secondary indicators of education teaching quality evaluation in QH College ranged from 2.7083 to 3.2886. The highest mean value of the rating of teaching objectives A1 and the lowest mean value of teaching standards A2. The coefficient of variation of teaching scenario B3 was the highest at 0.4887, and the coefficient of variation of building teaching resources was the smallest at 0.2587. In terms of the comprehensive evaluation of the quality of teaching and learning in higher vocational colleges and universities, the evaluation index system of QH College was categorized as “strong”. In addition, the study also analyzed the vulnerability of the evaluation of education and teaching in higher vocational colleges. From 2010 to 2023, the mean values of the vulnerability index of teaching quality evaluation of five higher vocational colleges in R province were 0.9693, 1.0536, 1.0507, 0.9993, 1.0407, respectively, with a significant turnaround in 2013, when the risk was significantly reduced. Synthesizing these data, this study provides an effective teaching model and evaluation method for higher education institutions to achieve high quality educational development.

RETRACTION: Analysis of the Role of HS‐HKRVM Analytic Hierarchy Process in the Evaluation of English Teaching Quality

RETRACTION: Analysis of the Role of HS‐HKRVM Analytic Hierarchy Process in the Evaluation of English Teaching Quality

Evaluation of online teaching quality in colleges and universities based on digital monitoring technology

Evaluation of online teaching quality in colleges and universities based on digital monitoring technology

A comprehensive evaluation of network teaching quality in colleges and universities based on entropy weight TOPSIS model

A comprehensive evaluation of network teaching quality in colleges and universities based on entropy weight TOPSIS model

Based on fuzzy mathematics multi-level comprehensive evaluation of physical education teaching quality and improvement

Based on fuzzy mathematics multi-level comprehensive evaluation of physical education teaching quality and improvement

A comprehensive evaluation of network teaching quality in colleges and universities based on entropy weight TOPSIS model

A comprehensive evaluation of network teaching quality in colleges and universities based on entropy weight TOPSIS model

Research on evaluation of legal risk prevention education quality based on dynamic variable weight analytic hierarchy process

Research on evaluation of legal risk prevention education quality based on dynamic variable weight analytic hierarchy process

The Quality Evaluation and Management Mechanism Optimization of Art Education under the Guidance of Student Development

In recent years, art education’s role in students’ comprehensive development has gradually been valued, and the quality evaluation and management mechanism of art education guided by student development has received widespread attention from educators. This study explores establishing and optimizing a quality evaluation and management mechanism for art education based on students’ personalities and developmental needs. The study used literature review, case analysis, and expert interviews to analyze the problems in current art education evaluation, such as the singularity of evaluation criteria, emphasis on results over processes, and neglect of students’ emotional experiences and creative development. Based on this, optimization strategies were proposed. The strategy includes constructing diversified evaluation indicators, strengthening process and experience evaluation, emphasizing innovation ability, and a continuous feedback mechanism for educational quality. By optimizing the evaluation and management of art education, the aim is to better promote students’ personalized and comprehensive development and cultivate their love for art and lifelong learning ability.

Exploring the Ideological and Political Model of Graduate Computer Courses under the Background of “Three Comprehensive Education”

This paper expounds on the path exploration of constructing the cooperative education mechanism of “Curriculum Ideological and Political” in Computer Courses as the main content. Combined with the fundamental tasks and requirements of “establishing morality and cultivating people” and “Three Comprehensive education”, this paper analyzes and explores how to integrate “Curriculum Ideological and Political” in Computer Courses into the education process of engineering postgraduates, in order to realize the value of collaborative education mechanism in curriculum ideological and political teaching. This paper selects the “literature analysis and selection method” and the “expert consultation method” to screen and determine the connotation of evaluation indicators; and uses the “Analytic Hierarchy Process (AHP)” to determine the weights of each indicator in the evaluation indicator system. And provide reference value for training new engineering comprehensive talents with reliable politics, rich humanistic literacy, excellent professional skills, and good professional ethics. At the same time, the construction of the evaluation system and the method of compiling scientific questionnaires also provide reference and guidance for the evaluation of teaching quality in various universities.

An online multimedia teaching quality evaluation method based on association rule mining

An online multimedia teaching quality evaluation method based on association rule mining

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.

Study on Online English Teaching Quality Evaluation Method based on Action Orientation

Study on Online English Teaching Quality Evaluation Method based on Action Orientation

Research on Teaching Quality Evaluation of Professional Course Teachers in Vocational Schools under the Background of New Quality Productivity

Research on Teaching Quality Evaluation of Professional Course Teachers in Vocational Schools under the Background of New Quality Productivity

MOOC online English teaching quality evaluation method based on fuzzy algorithm

MOOC online English teaching quality evaluation method based on fuzzy algorithm

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.

A construction of online teaching quality evaluation model based on big data mining

A construction of online teaching quality evaluation model based on big data mining

A Construction of online teaching quality evaluation model based on big data mining

A Construction of online teaching quality evaluation model based on big data mining