Quality Of University Education Research Articles

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.

A study on the application of data envelopment analysis in evaluating the quality of physical education teaching in universities

A study on the application of data envelopment analysis in evaluating the quality of physical education teaching in universities

The Dilemmas in Financing Higher Education in Kenya, 1960-2012

In the last two decades or so Kenya has witnessed increased demand for university education. This has forced education planners to experiment with a number of strategies to admit these increased numbers of qualified students to existing public universities. These strategies have seen remarkable flexibility in public university programs and admission requirements. Some of these strategies include: evening programs, weekend programs, holiday programs, and open and distance learning programs. But one which has raised enough public attention is the variedly labeled parallel, module two or self- sponsored students programs. Although this program has substantially increased access to public university education in Kenya, it has equally been criticized particularly on its ability to deliver quality university education. The argument has been that the programs were primarily tasked with the purpose of raising income and ensuring institutional survival in the prevailing harsh economic conditions. What is however unknown is the extent to which the program has promoted quality training for students and improved skills for public university academic staff. The brief paper seeks to address this gap. The paper will be based on secondary data and personal observations. This will go along way to addressing the reported declining quality of teaching and research in public universities not only in Kenya but also in sub- Saharan Africa

A study on the application of data envelopment analysis in evaluating the quality of physical education teaching in universities

A study on the application of data envelopment analysis in evaluating the quality of physical education teaching in universities

Construction and Implementation of Innovation and Entrepreneurship Education System in Colleges and Universities in the Internet Era

Abstract This study focuses on Innovation and entrepreneurship education resources in colleges and universities, constructs a comprehensive innovation and entrepreneurship education system in colleges and universities through the application of Internet technology, and discusses its logical structure and implementation path in depth. Based on this System, an evaluation system for the quality of Innovation and entrepreneurship education in colleges and universities, which contains four primary indicators and 20 secondary indicators, is screened by expert survey method, and an evaluation model is constructed by combining entropy weight method and TOPSIS algorithm. By analyzing the data, this paper comprehensively assesses the development level of Innovation and entrepreneurship education in Chinese colleges and universities in each province. The results show that 2016 Beijing’s composite score was 0.577; by 2020, Guangdong’s composite score was raised to 0.737, significantly higher than that of other provinces. However, the 10-year average combined scores of Xinjiang, Tibet, Ningxia, and Qinghai in western China were lower than 0.07, highlighting the uneven development of university innovation and entrepreneurship education in the eastern and western regions. The findings of this study provide valuable references for the construction of Innovation and entrepreneurship education system in colleges and universities. They are of great practical significance in promoting the development of Innovation and entrepreneurship education in colleges and universities.

Training of Applicants for Education in the Specialty 061 Journalism in Higher Education Institutions of Ukraine: Between Universalism and Specialization

Introduction. Both in the professional and academic environment, there is an opinion about the crisis state of journalism education and the need for its reform. In the course of the discussion of the further development of journalism education, the issue of universalism and specialization is also raised. Relevance and purpose of the study. The relevance of the study is determined by the need to improve the quality of journalism education in Ukrainian universities on the basis of healthy competition of educational programs (EPs) that contain elements of uniqueness, one of which can be specialization. The purpose of the study is to find out the real state of the relationship between universalism and specialization in the approaches to the training of higher education seekers at the first (bachelor) and second (master) levels of higher education in the universities of Ukraine in the specialty 061 Journalism. Methodology. Typological and statistical analysis of data from the Single State Electronic Database on Education (SSEDE) for 2023 and its visualization in diagrams, as well as analysis of selected EPs regarding the representation of their uniqueness, the ratio of universal and specialized educational components. The methods of analysis, synthesis, comparison and generalization are used to interpret the research results. The results. The analysis of educational offers by level of education and their quantitative ratio by individual areas of activity (journalism, advertising and public relations, publishing and editing, etc.) revealed a paradoxical situation: with a small number of branch specializations, the majority of educational offers at the bachelor’s level and a significant number at the master’s level (36%) is offered by branch universities. A substantive analysis of EPs, which were called “Journalism” and were offered by branch-based universities, showed the absence of branch specialization in the vast majority of educational offers. The analysis of EP names showed that, for the most part, they do not show uniqueness at the level of names. Conclusions. The predominant trend in the training of specialists in the specialty 061 Journalism is universalism, which was revealed both at the level of titles of EPs and at the level of their content. This situation i snot healthy, because it is EPs that must compete on the market of educational services, which is possible under the condition of their uniqueness, both at the level of titles and at the level of the proposed content.

Theoretical Followings and Practical Leadings of Network Ideological and Political Education in Colleges and Universities in the New Era

Abstract With the Internet era’s development, information technology’s role in education has become more prominent. In this paper, we firstly design the quality index of college network ideological and political education from the two broad dimensions of the goal (network ideological and political education work) and goal achievement (network ideological and political education effectiveness) of the quality of network ideological and political education in colleges and universities in the new era. Then, combining XGBoost algorithm and TPE hyperparameter optimization method, XGBoost is used as a classification model, and its iterative optimization is carried out by TPE hyperparameter optimization method, to establish the prediction model of the quality of ideological and political education based on XGBoost-TPE. Then, the online ideological and political education courses of university X are taken as the research object, and data are collected and calculated to study the prediction of the effectiveness of each index on the Civic and Political Education. Finally, the predicted and actual scores of the two ideology and politics courses are compared to explore the influence of teachers’ teaching quality factors on the quality of ideology and politics education. The analysis shows that the quality of course parenting, the quality of research parenting, and the home-school-society linkage parenting mechanism have the most significant influence on the predicted direct, indirect, and spillover effectiveness of ideological education, respectively, which are more than 60%. Teacher 1 and Teacher 2 contributed 2.38 and -1.13 to the achievement of Course D, and Teacher 3 and Teacher 4 contributed 2.47 and -2.53 to the accomplishment of Course E, respectively.

Research on the linkage of “one, two, three, four classrooms” of ideological and political education in colleges and universities based on big data platform.

Abstract To comprehensively improve the quality of ideological and political education in colleges and universities, and to ensure the realization of the fundamental goal of cultivating morality and educating people, this paper emphasizes the importance of the “one, two, three, four classrooms” linkage teaching mode, and proposes an intelligent ideological and political education platform based on big data technology. The platform integrates the first, second, third and fourth classrooms to form an efficient linkage education model. To assess the specific impact of this model on education quality, this study constructed a model using multiple linear regression and estimated the parameters using the least squares method. Through the questionnaire survey and data analysis of five colleges and universities in the university city of L city, it was found that the development quality of the “one, two, three, four classrooms” linkage was generally distributed with the mean value lying in the interval of [0.35,0.55]. Under the baseline regression analysis, the four classrooms had a high R2 fit value of 0.8517 to the dependent variable. The quantile regression analysis showed that as the quantile nodes increased from 0.5 to 1, the number of classroom nodes risen from 1 to 2. Showed that as the quantile node increased from 0.1 to 0.9, the R2 fit value improved more than twofold. This result highlights the need to consider the teaching effect of each classroom comprehensively to ensure that the goal of high-quality development can be realized when colleges and universities promote the “one, two, three, four classrooms” linkage teaching mode of Civics.

РАЗВИТИЕ ВЫСШЕГО АГРАРНОГО ОБРАЗОВАНИЯ НА ЮЖНОМ УРАЛЕ В ПЕРИОД С 1920 ПО 2020 ГОД

The paper examines the formation of agricultural higher educational institutions of the Southern Urals from 1920 to the 2020 years. The dynamics of development of the Chelyabinsk Institute of Mechanization and Electrification of Agriculture, Orenburg Agricultural Institute, Bashkir Agricultural Institute is shown. The specialization of institutes in the following areas is presented: agronomy, animal science, agroengineering. The features of the formation of scientific directions and schools in agricultural universities of the region are described. The role of scientific schools of agricultural institutes in solving national economic problems is revealed. (Research purpose) The research pupose is systematization of historical materials in the field of formation and development of agricultural education in the Southern Urals (using the example of higher educational institutions). (Materials and methods) Used documents and other sources during the analysis of the development of higher agricultural education in the Southern Urals, contributing to the disclosure of the material during the study period. (Results and discussion) Author reviewed the areas of work of problem laboratories, experimental bases (sites), farms, and showed their role in improving the quality of education in agricultural universities in the region. (Conclusions) In the history of the formation and development of higher agricultural education in the Southern Urals, the following stages can be traced: 1930-1945 is the period associated with the quantitative processes of meeting the needs of agriculture in the region with highly qualified personnel; 1946-1960 is the period of growth in the quality of training graduates of agricultural higher educational institutions in the region; 1960-1980 is the period of development of new narrower areas of agricultural specialties; 1980-2000 is the period ofintegration of higher education, science and production. The growth of university science is noted. The qualification of scientific and pedagogical staff of agricultural universities is growing due to the well-organized work of the advanced training system; 2000-2020 is the period of building a new model of agricultural education associated with changes in the agricultural sector: digital transformation and growing robotization.

Analysis of Teaching Capacity Building of College Teachers’ Innovation and Entrepreneurship Education under Comprehensive Multiple Fuzzy Evaluation System

Abstract How can we effectively promote and improve the quality of innovation and entrepreneurship education in colleges and universities? The key lies in enhancing the capacity of teachers to impart innovative entrepreneurial education. The article takes the requirements of innovation and entrepreneurship education and the connotation of teaching ability as the orientation and establishes the evaluation index system of dual innovation education teaching ability of college teachers by combining the CIPP model. The IAHP method and the improved CRITIC method, respectively, calculate the subjective and objective weights of each index in the index system, and then they introduce the game theory idea to amalgamate and assign weights to the index system Based on the gray fuzzy mathematical theory, a fuzzy comprehensive evaluation model of the teaching ability of innovation and entrepreneurship education among college teachers was established. Using University Y as the research object, data analysis was carried out to determine the differences between teachers’ dual entrepreneurship teaching abilities, comprehensive evaluation, and the application effectiveness of the evaluation system. The maximum mean value for teachers’ innovative entrepreneurship education teaching ability is 4,085, and the minimum skewness coefficient is only −0.475, suggesting a trend towards correct skewness. Teachers’ mastery of dual-creation theory is proportionately weighted at 25.52%, and the fuzzy comprehensive evaluation score is 81.97, which is a good grade. The evaluation index system, combined with the fuzzy comprehensive evaluation model, can help college teachers clarify the problems of dual-creation education, which is conducive to improving their dual-creation teaching ability.

Practical Exploration of Ideological and Political Education in Colleges and Universities under the Perspective of Collaborative Parenting

Abstract To enhance the effectiveness and teaching quality of ideological and political education in colleges and universities, this study used a questionnaire survey method to collect data for teachers and students of X University. The collected data were validated and analyzed through structural equation modeling and Pearson’s correlation coefficient to ensure accuracy. The study constructed a multiple linear regression model of ideological and political education and estimated the model parameters with robustness. In particular, tutor involvement was introduced as a mediating variable to explore its mediating role between students’ personalized learning characteristics and the practical effects of ideological and political education. It was found that students’ customized learning characteristics had a significant positive impact on the functional quality of ideological and political education, with a standardized coefficient of more than 0.92. The mediating effect value of tutor involvement was 0.064, accounting for 0.703 of the total effect. Ideological and political education in colleges and universities should focus on the learning needs of students and broaden their knowledge horizons through the active participation of teachers, to effectively enhance the practical effect of ideological and political education.

The improvement of medical education within the framework of scientific educational cluster

The article presents analysis of problems of training of physicians. The defects of professional orientation of applicants were noted, resulting in the fact that 19% of students already during their studies choose not to work in health care after graduation. Besides, deficiency of practical experience among students, as well imbalance of training of specialists in various specialties, shortage of budget places in residency, dissatisfaction of young physicians with working conditions and its schedule was registered. The authors propose complex of measures developing professional orientation of applicants, improving quality of education in medical universities and assisting their employment and successful adaptation in medical organizations.