Quality Of University Education Research Articles

Teaching Core Literacy in College Physical Education and Health Courses Based on Multiple Data Integration

Abstract The study used cluster analysis and decision tree modeling to construct a multivariate data fusion physical fitness evaluation model, and also built a physical fitness core literacy evaluation model through factor analysis and fuzzy comprehensive evaluation method. These two evaluation models were subsequently applied to physical education and health teaching in colleges and universities to measure the quality of physical education teaching in colleges and universities and students’ physical health status. By analyzing the practice of physical education teaching in colleges and universities, it was found that the pull-up program had the worst performance in students’ physical fitness test, with a score of 287. In addition, the lung capacity and 50-meter dash programs contributed the most to students’ total performance, with scores of 1,291 and 1,245, respectively. From the perspective of physical education and health teaching quality, the scores of teaching situation, teaching management and biological education school effectiveness were 4.68, 4.01 and 4.52, respectively, and all of these evaluation grades were good. This study provided an accurate and scientific analysis of the overall quality of physical education and health teaching in universities and the health status of students.

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.

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

Exploring the Teaching Reform of Computer Software Engineering Specialized Courses in Colleges and Universities under the Background of New Engineering Sciences

Abstract The issue of teaching quality in colleges and universities has received widespread attention, and teaching reform using information technology has become a way to improve the quality of university teaching. In this paper, an improvement method is proposed that combines the CBE competency education assessment model and improved C-ADDIE to create a teaching reform model for software engineering courses. After quantitatively assessing students’ professional competence using the IAHP-BP model, students with different competencies are divided by clustering and grouping to analyze the professional competence of software engineering students in terms of the whole and specialty. The professional competence score of the reformed students is 82.103 for the A class students, and the worse performing B class students, the professional competence score is only 72.639, and the gap between the two classes is close to 10 points. After the education of competency assessment with the model proposed in this paper, the student’s professional performance was improved with 11 points in the high score band, and the number of low score bands was gradually reduced. The model developed by the research is a valuable resource for computer software engineering students.

Research on Teaching Quality Monitoring Mechanism of Colleges and Universities Based on Internet+Education Mode

Abstract This paper focuses on the “Internet + education” model and describes the feasible strategy of using data mining technology to establish a teaching quality monitoring mechanism in colleges and universities. Through the study of teaching quality monitoring pathways, such as teachers’ teaching level, students’ academic status, and course learning effectiveness, this paper’s main content provides a directional guide. Based on the teaching quality monitoring pathway, we choose the related algorithms of data mining technology, such as cluster analysis, association rule, and factor analysis, to be applied to the various aspects of the teaching quality monitoring pathway. The clustering algorithm is used to classify 1500 teachers in a university into 4 categories, such as excellent teaching effect, good teaching effect, etc., as well as to cluster students into 6 categories, such as excellent in all the courses and low to medium level, according to the course grades. In addition, this paper analyzes students’ course learning effectiveness, academic level, and career guidance using association rule algorithms, factor algorithms, and decision tree algorithms, respectively. From teachers’ teaching to students’ learning and employment, this paper constructs an all-round teaching quality monitoring mechanism using data mining technology, which contributes to the improvement of teaching quality in colleges and universities.

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

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.

RETRACTION: Research on Evaluation Method of Physical Education Teaching Quality in Colleges and Universities Based on Decision Tree Algorithm

RETRACTION: Research on Evaluation Method of Physical Education Teaching Quality in Colleges and Universities Based on Decision Tree Algorithm

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.

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 the Path of Integrating Curriculum Ideological and Political into Physical Education Teaching in Colleges and Universities in the Era of Artificial Intelligence

Abstract In the era of artificial intelligence, how to effectively integrate curriculum ideology into college physical education teaching has become an essential way to improve students’ comprehensive quality, and this research area has been increasingly emphasized. The study first analyzes the dialectical relationship between curriculum Civics and college physical education teaching, pointing out that the two have consistent educational goals and concepts and can form a good synergy effect. Regarding methodology, the item group theory is used to analyze the teaching mode of civics and politics, revealing the advantages of improving the homogeneity of physical education curriculum civics and politics. Particular emphasis is placed on the importance of enhancing physical education teachers’ awareness in practicing course ideology and politics, and it is believed that teachers are the key to guiding students to form correct ideological values. The study utilizes the pull-out gearing method and the material element expandable theory to quantitatively evaluate the effect of integrating curriculum ideology and politics into physical education teaching in colleges and universities. The results showed that after integrating curriculum ideology and politics, students’ mastery of physical education skills increased by 25%, and the awareness of ideological content increased by 30%. In addition, teachers’ self-efficacy in implementing the Civic Politics in PE teaching increased by 40%, and students’ social adaptability scores increased by an average of 2.3 points out of 10. The effective integration of curriculum ideology can significantly improve the quality of physical education teaching in colleges and universities, and positively impact the enhancement of students’ ideology and morality as well as their skills and techniques.

A Study on Exploring the Influence of Teachers’ Interactive Behavior on Teaching Quality of English Classroom in Colleges and Universities by Combining Neural Network Prediction Models

Abstract English is one of the essential contents in the higher education system, and the innovative research of English teaching has become a research hotspot in the academic world. This paper introduces the neural network model to the research of English classrooms in colleges and universities and constructs a neural network prediction model based on teacher-student interaction behavior. It is used to identify, classify, and predict the behavior of teacher-student interactions. Further, explores the impact of teacher-student interaction on student behavior and its quality on college English teaching. The neural network model in this paper achieves optimal performance in the long-term prediction of teacher-student interaction behavior, and the overall short-term prediction accuracy significantly exceeds that of other prediction models. The differences in grade level, gender, and number of lecturers were all significant for the quality of English classroom teaching in colleges and universities. There was a significant correlation between teacher-student interaction behaviors (classroom cooperation, classroom games, classroom communication, and situational interpretation) and English teaching quality (English achievement, classroom participation, and learning interest). Teacher-student interaction behaviors significantly improve English classroom teaching quality and predict teaching quality by up to 45.24% of the explained variance. Classroom cooperation is the primary factor in positive classroom interaction behavior between teachers and students.

Correlation Analysis of Higher Education Music Teaching Quality and Students’ Artistic Literacy - Based on Regression Analysis Model

Abstract Music core literacy encompasses the essential skills students must acquire to form accurate concepts through music course learning. The enhancement of students’ artistic literacy within music education has emerged as a focal area of research. This study targets music majors at colleges and universities in H city, employing a questionnaire designed from dual perspectives: the quality of music teaching and the level of students’ artistic literacy. We applied open coding to the collected data, grounded in rooting theory, to formulate relevant research hypotheses. Subsequently, we assessed the reliability and validity of the questionnaire through factor analysis and conducted a preliminary analysis of the correlations using the Pearson correlation method. Furthermore, we developed a multiple regression model, positioning students’ artistic literacy as the dependent variable and music teaching quality as the independent variable, to explore and verify the interrelationships and hypotheses. The findings indicate that the equation can predict students’ artistic literacy: 0.882 + 0.255 × teaching ideology + 0.112 × teaching process + 0.176 × teaching ability + 0.225 × teaching effect. The results confirm that the quality of music teaching in colleges and universities significantly influences students’ artistic literacy levels. This research provides valuable insights for higher education institutions aiming to innovate music teaching methodologies and enhance the holistic literacy of their students.

Analysis of Outstanding Problems and Countermeasures in the Reform of Fine Arts Teaching in China’s Colleges and Universities Based on the VAR Model

Abstract With the development of society, the artistic cultivation requirements for talents are increasing. This paper discusses in depth the main problems in the current reform of art teaching and puts forward targeted solution strategies, aiming to improve the overall quality of art teaching. In the study, the key factors affecting the quality of art teaching in colleges and universities were analyzed using the VAR model, and a multimodal art education knowledge map was constructed using the Viterbi method. Through the ALKPT knowledge tracking model, this paper assessed and scored students’ mastery of art knowledge and incorporated the results into the art classroom quality evaluation module. Based on the scoring data, the art classroom quality features were standardized, and the comprehensive evaluation results were derived through feature fusion dynamic weight assignment. Impulse response analysis showed that the number of returnees who studied abroad to learn about art positively impacted art teaching. The empirical results showed that after the reform of art teaching, the students’ art theory scores increased by 5 points on average, the scores were distributed between 10 and 20 points, and the achievement gap between students was reduced. This study provides a robust strategy and evaluation tool for optimizing art teaching, improving teaching quality and promoting students’ artistic literacy.

Countermeasures to Improve the Quality of Classroom Teaching in Colleges and Universities Based on Artificial Intelligence—Taking the Course Modern Educational Technology for Example

Countermeasures to Improve the Quality of Classroom Teaching in Colleges and Universities Based on Artificial Intelligence—Taking the Course Modern Educational Technology for Example

Introduction to the inheritance and development of national music culture in the teaching of music education in colleges and universities in the Internet era

Abstract Ethnic music culture is a rare and precious artistic treasure in all national cultures, and the inheritance and promotion of ethnic music culture is an essential part of music education teaching in colleges and universities. This paper delves into the characteristics of the development and dissemination of ethnic music culture in the Internet era, with the aim of studying the integration of ethnic music culture into music education teaching in colleges and universities through the use of Internet technology. Through the collaborative filtering algorithm, students’ preferences for ethnic music works are mined so as to recommend accurate teaching resources for college students on the ethnic music online teaching platform constructed based on the collaborative filtering algorithm. In order to fully prove the effectiveness of the teaching platform designed in this paper, the rough set theory and neural network algorithm are used to construct the online teaching quality evaluation model for college ethnic music. The questionnaire survey method is used to study the status quo of ethnic music teaching in colleges and universities, and it is concluded that at present, there are problems in ethnic music teaching in colleges and universities, such as insufficient concepts of students learning ethnic music and insufficient attention to ethnic music in colleges and universities themselves. Through the analysis of the effect of the recommended algorithm, the design of the evaluation index system, and the practical application, the quantitative assessment value of the teaching quality of the ethnic music online teaching platform designed in this paper in the practical application is 92.11, which indicates that the comprehensive rating of the quality of the ethnic music online teaching in colleges and universities in this paper is excellent.

The Construction of English Speaking Evaluation System in Colleges and Universities under Cross-cultural Perspective

Abstract Establishing a perfect teaching evaluation system is one of the essential links to test the teaching results. In this paper, firstly, on the basis of clarifying the principle of constructing the evaluation index system of spoken English teaching, we formulate the index elements of the first, second level, and third levels, build the evaluation index system of spoken English teaching through the Delphi method, and initially determine the degree of importance of the evaluation indexes by relying on the Likert scale. Then the indicators are assigned with the compatibility matrix analysis method and the improved entropy weighting method, and the level of spoken English teaching in colleges and universities is quantitatively analyzed from the two primary levels of students and teachers through the fuzzy comprehensive evaluation method. Finally, examples are used to examine students’ readiness to evaluate spoken English teaching in colleges and universities, and the effectiveness of the constructed evaluation system for spoken English teaching is assessed. The results show that the total score of students’ rating of spoken English teaching in colleges and universities is 86.5, and the total score of teachers’ rating is 93.3, both of which are more than 85, indicating that the quality of spoken English teaching in the sample colleges and universities is good. This study realizes further improvement and transformation at the levels of evaluation concept, evaluation content, evaluation method, etc.. It provides specific references for teaching evaluation and decision-making regarding teaching reform in other disciplines.

Exploring the Influencing Factors on the Quality of Japanese Language Classroom Teaching in Colleges and Universities Based on Structural Equation Modeling

Abstract In this thesis, the Japanese language major in the College of Foreign Languages of University J was selected as an example, and the research method combining quantitative questionnaire and qualitative research was used to investigate the development trend and current situation of Japanese language teaching. Structural equation modeling was used to analyze and hypothesize factors that affect the quality of Japanese classroom teaching. Data was collected, processed, and analyzed with relevant regression statistics to study the statistical regularities among variables with correlations and to verify the research hypotheses proposed in this study, as well as the correlations. The results showed that there was an extremely significant causal relationship (Sig. < 0.01) between teacher level: professional ethics and teacher teaching, teacher professional knowledge, resource inputs and teaching content, and teacher professional competence, teaching content, and teacher teaching. Student level: there is a significant positive effect (Sig<0.01) between students’ personal qualities, student learning and learning outcomes, learning inputs, and student learning and learning outcomes. Industry level: there is an extremely significant causal relationship (Sig<0.01) between industry needs and teaching objectives, resource inputs, teaching content, and teacher teaching.

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.

Research on Multi-objective Optimization Model of Physical Education Teaching Enhancement Path in Colleges and Universities

Abstract This study begins by assessing the current state of physical education (PE) teaching in higher education institutions. It establishes an optimization index system for PE teaching, utilizing the entropy weighting method to calculate the weights of the indices. These weights are then incorporated into the objective function to define the constraints for optimizing PE teaching, facilitating the construction of a multi-objective optimization model tailored to enhance PE instruction pathways. The model is solved using the NSGA-II optimization algorithm, and an illustrative analysis is conducted. The results indicate a smooth distribution of the superiority and inferiority degrees within the derived PE teaching optimization scheme, characterized by low overall dispersion (mean superiority and inferiority value of 74.2841) and minimal deviation compared to the current status (mean value of 0.09835). This confirms the effectiveness of the proposed model in improving PE teaching. The implications of this study are significant for elevating the standard and quality of PE teaching in colleges and universities, nurturing more professionals for China’s sports industry, and advancing the nation’s sports sector to unprecedented levels.