Quality Of University Education Research Articles

Construction of the Quality Evaluation System for Innovation and Entrepreneurship Teaching

With the advancement of the wave of innovation and entrepreneurship education reform, how to establish a perfect and efficient innovation and entrepreneurship education quality evaluation system has also been widely concerned by educators. On the basis of a comprehensive analysis of the composition of the innovation and entrepreneurship education system, we propose the indicator composition of an evaluation system based on the OBE education concept. In addition, with the goal of continuous improvement, we aim to construct a scientific, reasonable, and professional certification compliant evaluation plan for the quality of innovation and entrepreneurship teaching in universities. This will enhance the evaluation of teaching quality in universities and better implement the national requirements in this regard.

The University Education Quality Improvement Model (Ueqimodel): A 21st Century Design for University Education Quality Improvement in Developing Countries.

Abstract From every dimension of measurement, education is seen as a pivot on which other facets of national development rotate. It is considerably important to refer to the quality of university education as a paramount indicator for growth and development of nations, including the developing countries. University managers apply diverse strategies to improve the quality of University Education, however, the current state of university education in most developing countries is becoming a source of worry, as major stakeholders globally expect improvement of outcomes in line with the Sustainable Development Goals (SDG’s). This study therefore aims to introduce a standardized guiding principle in the form of an Educational Model that would aid in the reformation of the existing system. The model, named the University Education Quality Improvement Model (UEQIModel) is a modern-era scientifically designed innovation in the field of educational management. It basically identifies the loopholes associated with the existing university management practices as applicable to developing countries and tries to bridge the gap by incorporating necessary tools needed to augment the status quo. The principles of the model are sub-categorized into five steps, which include management practice, activities, expectations, evaluation, and outcome. The paper concludes that UEQIModel should be implemented holistically by universities in developing countries for the restoration of a fast-declining dignity and overall improvement of university education quality.

Evaluation of an Optional English Preparatory Program with CIPP Scale

The quality of English language education in universities is vital in preparing individuals for the increasingly globalized world. Assessing the efficacy of English teaching programs is therefore crucial to ensuring such quality. Consequently, this study aims to evaluate the optional English preparatory program of a state university using the CIPP model dimensions: context, input, process, and product. The current study employs a mixed-methods research approach, combining quantitative and qualitative data to address the research questions. The study sample comprised 247 preparatory graduate and 77 preparatory students, as well as 6 lecturers. In the quantitative part, The CIPP scale (Context, Input, Process, and Product), developed by the researchers based on item analysis, second-order exploratory factor analysis, reliability analysis, criterion validity, and content validity, was used to determine the strengths and weaknesses of the English preparatory program based on responses of participants to the items in four dimensions of the scale. The qualitative aspect of the study involved obtaining responses from participant students through open-ended questions and conducting semi-structured interviews with lecturers. These responses were analyzed, and the resulting excerpts were used to support and complement the findings obtained from the quantitative findings. The results indicate that the participants were highly satisfied with the optional nature of the program and held positive perceptions of it. However, some improvements, particularly in the physical conditions of the program's context dimension, such as the library, laboratory, and school building, were required. The findings from the input and process dimensions reveal the importance of increasing target language use and prioritization of speaking skills in the product dimension. The developed CIPP scale, which is statistically reliable and valid, can be utilized by researchers to evaluate English preparatory programs using the CIPP model. The study concludes by offering several key recommendations for creating a more effective English preparatory program based on the findings.

Research on Smart Service Innovation of University Libraries in the "Internet plus" Environment

In the "Internet plus" era, the rapid development and popularization of information technology have brought unprecedented opportunities and challenges to libraries. The construction of university libraries, as an important support for teaching and research in universities, faces the problem of how to better utilize internet technology to provide smart library services. The traditional library service can no longer meet the needs of users, so it is necessary to improve the service quality and efficiency of university libraries with the help of intelligent services under the "Internet plus" environment. I hope to improve the quality of university education, promote teaching reform and innovation, cultivate students' comprehensive qualities, enhance the core competitiveness of university libraries, and enhance the comprehensive strength of universities through research and practice of intelligent services in university libraries.

MADM framework based on the triangular Pythagorean fuzzy sets and applications to college public English teaching quality evaluation

The so-called “college English” teaching quality evaluation is to provide a basic, comprehensive, and realistic evaluation of the relevant aspects and management of teaching implementation on the basis of following the general laws of higher education; It is a comprehensive inspection of “College English” teaching and an important means of quality monitoring and policy adjustment for “College English”. As mentioned earlier, teaching evaluation is a comprehensive evaluation of teaching. Therefore, our evaluation of the quality of university public education is actually an examination of our specific measures in evaluating teaching, teaching methods and methods, teaching literature, and other aspects. The college public English teaching quality evaluation is a classical multiple attribute decision making (MADM). In this paper, we define the triangular Pythagorean fuzzy sets (TPFSs) and investigate the MADM problems under TPFSs. Based on the traditional dual generalized weighted Bonferroni mean (DGWBM) operator and dual generalized weighted geometric Bonferroni mean (DGWGBM) operator, some triangular Pythagorean fuzzy operators are proposed: triangular Pythagorean fuzzy DGWBM (TPFDGWBM) operator and triangular Pythagorean fuzzy DGWGBM (TPFDGWGBM) operator. Accordingly, we have took advantage of these operators to develop some approaches to work out the triangular Pythagorean fuzzy MADM. Ultimately, a practical example for college public English teaching quality evaluation is took advantage of to validate the developed approach, and an influence analysis of the parameter on the final results is been presented to attest its availability and validity.

Evaluating English Teaching Quality in Colleges Using Fuzzy Logic and Online Game-Based Learning

Evaluating English Teaching Quality in Colleges Using Fuzzy Logic and Online Game-Based Learning

The enlightenment of western university construction to college education construction in China

There are many factors involved in improving the quality of university education.The most important factor restricting. the quality of university education is specialty construction.The university's specialty is the part that is most closely related to the labor market.Strengthening specialty construction,especially the construction of characteristic specialties is undoubtedly an important measure. A stone from another mountain can conquer a jade.The history and present situation of characteristic subject development and specialty construction in western universities enlighten us a lot.Under the realistic background of our country, the government and universities should learn from the concept of specialty management in western countries, and make joint efforts to strengthen the construction of characteristic specialty.

Lecturer's pedagogical attributes and teaching quality for construction and engineering education in UK universities: mediating effect of research informed teaching

PurposeResearchers have opined that the quality of commitment to pedagogical approaches by lecturers is one of the most important factors in determining student academic success. The purpose of this paper is to analyse the mediating effect of research informed teaching on the relationship between lecturer commitment to use of pedagogical approaches and teaching quality, with a view towards enabling delivery of high quality teaching and learning in HEIs.Design/methodology/approachThe research is based on an online survey of the perception of 186 undergraduate and postgraduate students in four major UK universities. Covariance-based structural equation modelling (SEM) methodology was used to quantity and clarify the influence of lecturers' pedagogical attributes on teaching quality, mediated by research-informed teaching.FindingsFindings reveal that: lecturers' pedagogical attributes have significant positive effect on teaching quality, research-informed teaching have significant positive effect on teaching quality, lecturers' pedagogical attributes have weak positive effect on research-informed teaching, and research-informed teaching partially mediates (indirect effect) the relationship between lecturers' pedagogical attributes and teaching quality.Practical implicationsStructural equation models are useful for clarifying concepts in pedagogy and have implications for education managers on how to improve teaching and learning in HEIs.Originality/valueThe paper presents a unique quantitative model for measuring the degree of teaching quality in universities.

Access and Use of Students-Engagement Data to Enhance University Teaching Management

This article addresses the challenge of promoting the access to and use of student engagement and experience information to enhance undergraduate teaching management. The study examines the perceptions of specialists in a sample of universities affiliated with the Chilean Council of Rectors (CRUCH) regarding their capacities to collect, distribute, and utilize data from the National Student Engagement Survey (ENCE by its Spanish acronyms). Findings reveal several gaps and organizational obstacles, alongside good practices and promising opportunities for leveraging information to improve the quality of university education. Conclusions provide guidelines for strengthening information management capabilities and fostering an organizational culture centered around evidence-based-decision-making.

Retracted: Evaluation of Political Classroom Teaching Quality in Universities Based on DA-BP Algorithm

Retracted: Evaluation of Political Classroom Teaching Quality in Universities Based on DA-BP Algorithm

Integrated MAGDM framework based on spherical fuzzy sets for teaching quality evaluation of ideological and political courses in universities

With the rapid development of society, ideological and political education courses have occupied a very important position in various courses in major universities, playing a series of important functions and roles in student quality education, excellent quality cultivation, and other aspects. In the new era, the evaluation and assessment of ideological and political education quality is not only the primary factor to improve the teaching quality of ideological and political education courses in universities, but also an important means to promote the deepening reform of ideological and political education. However, there are many problems in the process of evaluating the quality of ideological and political education in colleges and universities at present, such as the deviation in understanding the importance of evaluation, the relatively single evaluation method, and the low quality of application of evaluation results. The teaching quality evaluation of ideological and political courses in universities is a classical multiple attribute group decision making (MAGDM). Spherical fuzzy sets (SFSs) provide more free space for decision makers (DMs) to express preference information during the teaching quality evaluation of ideological and political courses in universities. Therefore, this paper we first extend partitioned Maclaurin symmetric mean (PMSM) operator and IOWA operator to SFSs and develop induced spherical fuzzy weighted PMSM (I-SFWPMSM) operator. Subsequently, a new MAGDM method is established based on I-SFWPMSM operator and SFNWG operator under SFSs. Finally, a numerical example for teaching quality evaluation of ideological and political courses in universities is used to illustrate the proposed method.

Efficiency analysis trees as a tool to analyze the quality of university education

<span lang="EN-US">This research aims to design a quality management tool in education. The methodology comprises two stages: first, the construction of the decision tree model, and second, the efficiency evaluation. For the validation and development of this research, the data modelled corresponds to the standardized exams for higher education in Colombia of ninety industrial engineering degrees. Among the results, the citizenship skills (CC_PRO) generate the most significant contribution to the model. On the other hand, the written communication competence (CE_PRO) generates a minor contribution to the model. In addition, the most relevant result of the research is the design and validation of a tool to estimate educational efficiency using the efficiency analysis tree (EAT) and data enveloping analysis (DEA) models. The proposed tool allows the generation of specific targets to increase the level of efficiency of universities through the nodes of the decision tree, which contributes to the spectrum of knowledge on models for educational management. In conclusion, this research presents a tool for the management of educational processes through the analysis of efficiency using EAT, estimating the efficiency of universities and setting the foundations for forecasting future efficiency scenarios.</span>

Student Engagement as an Instrument of Assessing the Quality of Education in Russian Universities

The article aims at presenting the experience of using the student engagement approach, which was developed on the basis of ideas of A. Astin, R. Pace, G. Kuh, P. Ewell, E. Pascarella, P. Terenzini, to assess the quality of education in Russian universities. This approach was originally implemented in the US higher education system at the end of the XX century. Due to its simplicity and relatively low costs demanded, as well as the possibility to develop effective specific recommendations for improving the educational process, this approach came to be further applied in other countries by single universities and even at national level. However, its applicability in the systems different from the US higher education is still questionable. The article presents the basic assumptions of this approach, the history of its development and spread across the world, and its potential for assessing the quality of higher education. The author pays particular attention to the implementation of the approach in Russian universities and its limitations due to peculiarities of national context. This paper is the first to summarize the results of Russian research on student engagement. It becomes possible to make certain conclusions about the applicability of this approach to the Russian system of higher education. Moreover, the author draws conclusions on the potential to compare student engagement data collected during different time intervals in different institutions and countries. Finally, the article gives practical recommendations on how to use this approach when solving different university problems. The paper is intended for university administrators to develop effective educational policy, for professors to improve teaching practices and student-faculty interaction, for researchers to understand the landscape of studies on student engagement and to distinguish promising directions for future investigations.

Optimization of computer-assisted teaching mode in universities based on Dijkstra’s algorithm

Abstract In the context of digitalizing big data and information, optimizing the teaching model of colleges and universities is a key concern in the education sector. This paper optimizes the shortest path planning of the Dijkstra algorithm around the Floyd algorithm and ant colony algorithm, constructs the model of a computer-aided teaching system in colleges and universities through the Dijkstra algorithm, and constructs the system model indexes from three aspects: students’ cognitive ability, students’ learning performance, and students’ learning interest. A sample of 100 college students was randomly selected, and the accuracy performance of the samples was compared by the Dijkstra algorithm and improved Dijkstra, respectively. The accuracy rate of the improved Dijkstra algorithm fluctuated from 83% to 90%, with a variable rate of 7%, which was relatively small. Then the Dijkstra algorithm was used to analyze the weighting of the cognitive ability index, learning achievement index, and learning interest index. In the cognitive ability index, the memory ability weight of 34% performed better compared with the other five, the good weight in the learning achievement index performed better compared with the other categories, and the more interesting weight in the learning interest index performed better overall compared with the other five categories. This study has guiding reference value for optimizing computer-assisted teaching mode in colleges and universities to improve teaching quality and efficiency of colleges and universities.

A Visual Analytics Approach Applying for Discovering Knowledge from Multivariate Datasets of Stakeholders Feedback in the University

In accrediting training quality, assessing the educational quality of a university is an extremely important task to affirm the prestige of the university to the society. Areas of assessment include training program, teaching and learning activities, capacity of graduate student, and the reputation of the university in society. This research studies the characteristics of the survey dataset structures to form data variables and analyzes the relations between data variables to build non-spatial and temporal multidimensional model (nSTM), applies the establishment of visual graphs according to the data variables representing the datasets with vertical bars indicating the values of the data variables being visually represented. This research conducts experiments on the dataset structures surveying the areas of a university. With this scientific approach, it will help university administrators to build policies to improve in all aspects and especially improve the quality of university education.

К вопросу о путях обеспечения качества юридического образования России в 21 веке

The subject of research in this article are the features and patterns of ensuring the quality of education in national research universities, as well as the role of legal regulation in ensuring the formation of an education quality management system in national research universities. The purpose of the study is to consider the patterns of education quality assurance at national research universities, as well as the role of legal regulation in ensuring the formation of an education quality management system at national research universities. Among the research methods that were used in this study include: functional analysis, factor analysis, system analysis. At the same time, system analysis was used to analyze the quality management system at national research universities, functional analysis was used to analyze the functioning of education quality management systems at national research universities. Factor analysis was used to analyze the factors influencing the functioning of the education quality management system in national research universities.
 In the course of the study, it was found that some national research universities, when switching to their own standards in the field of higher education, did not bother about the need to implement an effective quality management system for education, but perceived the right to teach students according to their own standards, as an opportunity to do what we want in the field of higher education, which naturally does not contribute to improving the quality of education and may violate the rights of students. To prevent this kind of thing, it is proposed to develop a concept of legal education in Russia, including effective mechanisms for checking the quality of legal education, which is organized by professional associations in a particular area of professional activity, as well as ways to improve the legal regulation of public relations in the field of quality of legal education.

Invariant and suboptimal trajectories of self-regulated learning during secondary school: implications focused on quality in higher education.

It has been shown that self-regulation of learning is a key variable for an adequate transition and adjustment from secondary school to tertiary education, and it is also associated with successful academic results; therefore, it is relevant to analyze its levels of development in the pre-university stage. The aim of this research was to evaluate the trajectories of self-regulation of learning in secondary school students. The method considered a longitudinal design and included a sample of 403 students from 9th to 12th grade in Chile. An instrument with adequate psychometric properties was used to measure the learning self-regulation process (disposition, performance and self-evaluation phases). The results showed that self-regulation is at suboptimal levels in its different phases (M = 4.25 to M = 4.71). Linear mixed models showed: a significant effect of sex on the disposition variable in favor of females; and that the phases of disposition, performance and self-evaluation do not change over time. It is concluded that, if self-regulation of learning is not specifically trained, it does not increase during secondary school. The findings are discussed considering the possible practical implications for educational policies, research, timely intervention and impact on the quality of school and university education.

Influence of Human Resource Management on the Quality of College Education in Poland

The influence of human resources management (HRM) on the quality of college education in Poland is a critical concern in contemporary academia. This study investigates the relationship between HRM practices and the educational standards within higher education institutions (HEIs) in Poland. Through a quantitative survey conducted among academic staff and students, the research assesses current HRM practices, challenges faced by HEIs, and the impact of HRM on educational quality. Findings reveal a positive correlation between HRM practices and the quality of education, highlighting the significance of effective HRM strategies in enhancing educational standards. The study emphasizes the need for HEIs to focus on areas such as motivation, remuneration, evaluation, and personnel development to improve HRM effectiveness. Recommendations include aligning HRM practices with institutional strategic objectives, ensuring the sustainability of HRM efforts, and addressing challenges such as funding constraints and manpower shortages. These insights underscore the vital role of HRM in shaping the quality of college education in Poland and advocate for continuous monitoring and improvement of HRM practices to meet evolving educational needs.

The Quest for Quality in University Education in the Post-COVID-19 Era

Plagiarism is a major global challenge to quality assurance in higher education. Various efforts have been made to overcome the menace including the use of anti-plagiarism tools. At the same time, many questions have been raised about the efficacy of the current generation of tools in detecting, preventing plagiarism, and guaranteeing the quality of education. This paper examines the limitations of plagiarism detection tools in enhancing the quality of academic outcomes and proposes measures for improvement. The paper argues that while anti-plagiarism software has a role in preventing plagiarism in academic writing and academic integrity, they are not the panacea to the plagiarism pandemic, especially in the COVID-19 era. It proposes that there is a need to reform methods of assessment and implement forward-looking policies to address the underlying causes of plagiarism, provide students with appropriate information literacy skills training, and above all cultivate a culture of academic integrity in higher education institutions (HEIs).

Research on the Realization Mechanism and Evaluation System of High-Quality Undergraduate Education in Private Universities Based on Deep Learning

Abstract Due to the new development stage, it is especially important to improve the education quality of private undergraduate universities. As a result, it is a new hot issue for the construction of mechanisms and assessment systems for the quality improvement of private undergraduate education. In this paper, after analyzing and researching the quality of undergraduate education in present-day universities, the mechanism of deep learning is applied to the establishment of the assessment system. Finally, 1082 samples collected from the data center platform of a private university are analyzed as the research object. From the results, the final size of the combined weights of the seven evaluation items constituting the assessment system differed little. They were 12.81%, 15.78%, 15.28%, 14.38%, 12.83%, 12.81%, 15.01%, and 13.27%, respectively. In the comparison of this paper’s method with FAHP+TOPSIS combined evaluation, euclidean map method, and genetic algorithm assignment, the difference between the seven weight values of the Euclidean map method is larger, 5.56%. The evaluation times of the four methods were 41 s, 38 s, 47 s, and 118 s. Compared with the other three methods, the genetic algorithm assignment took the most time.