Teaching Quality Evaluation Research Articles

An integrated decision approach with triangular fuzzy neutrosophic sets for higher vocational education quality evaluation in the new era

China’s education has entered the era of quality, and in order for higher vocational colleges to develop better, effective measures must be taken to improve the quality of education. Facing the continuous innovation of education in higher vocational colleges, it is necessary to strengthen institutional construction and constrain educational management with institutional constraints, which is the key to ensuring the education quality. The higher vocational education quality evaluation in the new era is regarded as multiple attribute decision-making (MADM). Recently, the EDAS and CRITIC model has been employed to solve MAGDM. The triangular fuzzy neutrosophic sets (TFNSs) are constructed as an efficient tool for portraying the uncertain information during the higher vocational education quality evaluation in the new era. In this paper, the triangular fuzzy neutrosophic number EDAS (TFNN-EDAS) model based on the Hamming distance and Euclid distance is constructed to solve the MADM under TFNSs. The CRITIC method is utilized to obtain the weight information based on the Hamming distance and Euclid distance under INNSs. Finally, a numerical example of higher vocational education quality evaluation in the new era is constructed and some efficient comparisons are founded to verify the TFNN-EDAS method.

Retracted: Optimization of Online Teaching Quality Evaluation Model Based on Hierarchical PSO-BP Neural Network

Retracted: Optimization of Online Teaching Quality Evaluation Model Based on Hierarchical PSO-BP Neural Network

The assessment model of online vocal music teaching quality under the optimized DL model

In recent years, art disciplines have flourished in response to the requirements of the times, and online vocal music courses have been offered by major colleges and universities. The quality of education in colleges and universities is a key indicator of the quality of a school's talents, and improving its quality is the most important part of modernizing education. In this study, a new education index system is constructed to address the problems of traditional online vocal teaching quality evaluation methods, and a vocal teaching quality evaluation model based on an adaptive variant Genetic Algorithm improved Back Propagation neural network is proposed. The model is combined with the established new index system and used in the evaluation of vocal music teaching quality. Comparing the performance between the model and the model constructed by the traditional algorithm, the experimental results showed that the convergence speed of the optimized model was improved by 79.32%. The model adaptation reached convergence in the 19th time, and the adaptation value was stabilized at 1.34, which can be seen that the improved model has a stronger adaptive ability and a faster convergence speed. In summary, the results predicted by the model basically coincide with the trend of the actual evaluation results, and the existence of the error is small, indicating that the model can achieve a more comprehensive and scientific evaluation of education quality.

The factor structures of the Classroom Assessment Scoring System Pre-K and mature play observation tool in multi-ethnic Norwegian early childhood centers

The use of standardized assessment tools for the evaluation of quality in early childhood education and care (ECEC) is on the rise, yet a greater understanding of the applicability of these tools across contexts is still needed. This study investigates the factor structure of two assessment tools, the Classroom Assessment Scoring System Pre-K (CLASS) and Mature Play Observation Tool (MPOT) in a free-play focused context serving high numbers of children with diverse language backgrounds in Norway. The study also evaluates the extent to which these tools complement each other to create a more comprehensive understanding of children’s experiences in ECEC in this context. Using confirmatory factor analyses, our results from a sample of 125 multi-ethnic ECEC groups in Norway show a good fit for the two-factor (i.e., adult- and child-focused) model proposed by the authors of MPOT. In line with previous research, the three-factor (i.e., emotional support, classroom organization, and support for learning) model of CLASS required post hoc modifications, resulting in a marginally acceptable model fit. Overall, our findings provide evidence that the original factor structures of these tools can be modeled in urban ECEC centers in Norway, and using these tools provides different insights into children’s ECEC experiences.

Evaluation of teaching quality of universities in the context of big data for the cultivation of application-oriented talents

Abstract Exploring the evaluation of the teaching quality of colleges and universities for applied talent cultivation in the context of big data is to be able better to improve the teaching level of colleges and universities. In this paper, the multi-indicator evaluation method is explained, and the commonly used teaching quality evaluation methods, i.e. hierarchical analysis, entropy weight method and gray correlation analysis, are cited. The basic principle of the hierarchical analysis method is given, the initial weight calculation steps of AHP method are illustrated, and the initial weights of AHP method are combined and solved using the entropy weight method. The evaluation principle of the gray correlation analysis method is given, and the combined weights of the AHP-EWM evaluation are illustrated using the gray correlation analysis method. Finally, universities’ teaching quality evaluation indexes for applied talent cultivation were constructed using the AHPEWM evaluation method, and the indexes were mined and analyzed respectively. From the indicators of theoretical literacy and professional research ability, the overall evaluation of the teaching quality of colleges and universities is 92.77% above the C grade. From the indicators of innovation practice and moral quality, the percentages of students’ evaluation of teaching quality in colleges and universities with A, B, C and D grades are 49.02%, 28.6%, 5.12% and 7.25%, respectively. This shows that the evaluation of teaching quality in colleges and universities is multifaceted, and colleges and universities can improve their teaching level according to different evaluation factors.

Monitoring and Quality Evaluation Method of English Teaching in Machine Manufacturing Based on Machine Learning and Internet of Things

INTRODUCTION: With the continuous development of society, education is getting more and more attention, and all stages of education, such as elementary school, middle school, high school, Etc., are the fundamental objects of attention, while English in the university, as a critical foreign language, is also given considerable attention. Among the various majors in the university, different majors pay different attention to English, among which in the mechanical engineering major, the importance of English is still relatively front and centre, which is helpful for the improvement of students' mechanical engineering level. However, in the current teaching, there are still a series of problems in the English teaching of mechanical majors, which have certain obstacles to improving students' English level. OBJECTIVES: To give university English teachers more feedback and opinions through a reasonable and perfect teaching monitoring and quality evaluation method; combining their English reading teaching with relevant rules and regulations can better promote the educational quality level of university English and help students improve their English more reasonably. METHODS: To study and analyze the monitoring and quality evaluation of English teaching in mechanical majors to get the relevant optimization suggestions of teaching mode, and to solve the correlation problem based on multiple linear regression through the calculation of SPSS software, to analyze the final impact mechanism of each item on the quality of teaching. RESULTS: The results of the sample survey indicate that, firstly, five factors, namely, research direction, disciplinary ladder, scientific research, talent cultivation and management, will have a significant impact on the monitoring and quality evaluation of English teaching in the mechanical program. Secondly, further research on the influence mechanism suggests that the monitoring and quality evaluation of English language teaching in mechanical majors needs some improvement, affecting the English language proficiency of students in this field. CONCLUSION: After summarizing several factors that impact the evaluation of the quality of English teaching, it is clear that such English classroom teaching has a positive effect on the training of mechanical students.

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.

Quality Evaluation for Online Distance Education Based on Grey Relational Degree

<p>Aiming to address the problems of low accuracy and long time consuming of existing education quality evaluation models, a new online distance education quality evaluation model based on grey correlation algorithm is proposed. Firstly, calculate the membership of education quality data, and complete the data collection through cluster mining. Secondly, construct the evaluation index system according to the set evaluation principles. Finally, the grey correlation degree algorithm is used to mine the correlation degree relationship of education quality index data and complete the construction of the evaluation model. The comparison test results show that the evaluation accuracy of the built model is 0.98, the response time is only 0.7s, the CPU proportion is only 27%, and the satisfaction rate is more than 0.97. Therefore, the model has higher application value.</p> <p> </p>

Similarities and differences between CLASS and ECERS-R estimates of educational environment quality.

The conducted research was devoted to comparison of kindergartens' educational environment quality evaluation via ECERS-R and CLASS methods. Both methods were applied in the same kindergarten groups. Therefore, in this study we attempted to find out if the educational environment quality assessments acquired via the two methods mentioned above would coincide. We analyzed the results from the cultural-historical psychology perspective. The educational environment quality assessment has been conducted in 83 Moscow kindergarten groups where study 5 to7 years old preschoolers. The correlation analysis results show that the ECERS-R method subscales are not related to the "Emotional support" CLASS domain, however, a significant correlation with the total ECERS-R score has been revealed. The "Classroom Organization" CLASS domain has the highest number of correlations to the ECERS-R subscales (4) as well as to the total ECERS-R score. The "Instructional Support" domain is connected only to the Parents and Staff subscale within the ECERS-R method. As a result of comparing groups with relatively low and high quality of the educational environment, that were identified based on the evaluation via the ECERS-R and CLASS methods, a good agreement between the results has been revealed. However, a fairly large number of groups with high CLASS scores have made it to the pool of average-low ECERS-R scores, which demonstrates a non-linear connection between the educational environment quality evaluations according to these two methods. Research allows to conclude that the ECERS-R and CLASS approaches complement each other well.

Online Teaching Quality Evaluation: Entropy TOPSIS and Grouped Regression Model

With the continuous progress in Chinese higher education, the quality of online teaching has become the key to influencing that of the operation and reputation of universities and colleges. Nevertheless, the results of traditional teaching quality evaluation methods are considerably influenced by objectivity due to limitations in single-index and outdated methods. Hence, the construction of a reasonable online teaching quality evaluation model for universities and colleges presents important research significance to optimize the existing evaluation process. An online teaching quality evaluation index system for teachers at 26 observation points was set up from the perspectives of teaching objectives, process, and effect. The Technique for Order Preference by Similarity to Solution (TOPSIS) scores of 215 teachers from six universities in Henan Province, China, were evaluated using the entropy TOPSIS method. In addition, the significance of influencing factors in the ranking results of online teaching quality by teachers was analyzed using a hierarchical regression model. Results demonstrate that the weights of teaching attitude, teaching contents, and cognitive objectives were the highest and occupied the top three positions with weights of 14.94%, 12.99%, and 12.96%. By using three level-1 indexes of teaching objectives, process, and effect as the explanatory variables, students’ scores for teachers are all significant under the 1% level. According to the Chow test, the results are F (4, 207) = 2.725 and p = 0.031 < 0.05, indicating that using the online teaching duration of teachers as a grouping variable brings structural changes. Results can optimize online teaching quality evaluation and provide scientific references to evaluate the teaching quality of teachers.

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.

Evaluation of Colombian educational quality: challenges and opportunities

This reflection article shows the processes that are being developed in Colombia to contribute in a relevant way to the evaluation of educational quality in state schools. Specifically, the processes of management of the quality of education within the public educational institutions of the country are addressed. Subsequently, the mechanisms that reinforce the processes of institutional communication through entrepreneurship and the achievement of transformations that consequently generate an educational phenomenon expressed in the expected results of improving the system and the quality of education that boys and girls yearn to receive are indicated. youth, as contemplated by the organizational and management policies promoted by the Ministry of National Education. Finally, some approaches to strengthening educational management and quality that could be significant in the Colombian context are presented.

Retracted: Teaching Quality Evaluation of Ideological and Political Courses in Colleges and Universities Based on Machine Learning

Retracted: Teaching Quality Evaluation of Ideological and Political Courses in Colleges and Universities Based on Machine Learning

Retracted: Algorithm of Classroom Teaching Quality Evaluation Based on Markov Chain

Retracted: Algorithm of Classroom Teaching Quality Evaluation Based on Markov Chain

Quality Evaluation Model of Vocational Education in China: A Qualitative Study Based on Grounded Theory

Enhancing quality is the focus of vocational education reform, and building a quality evaluation system that is adapted to the needs of modern vocational education is an important task of vocational education reform. However, international research on quality evaluation models of vocational education has still not been explored in depth. In order to reveal the influencing factors and the relationships between them in the quality evaluation system of vocational education in China, this study establishes a theoretical model of quality evaluation of vocational education in China and tests the model. Based on in-depth interviews, this study reached the following conclusions: (1) Educational orientation is the starting and ending point of vocational education quality evaluation. The quality evaluation of vocational education in China is directly reflected through professional settings and talent training objectives; (2) the quality evaluation of vocational education in China focuses on factors external to the education system, which is an important means through which the quality of vocational education can be recognized by the public, enterprises, and industries; (3) there are internal factors influencing the quality evaluation of vocational education, namely institutional resources and evaluation system construction. In addition, strategies for vocational institutions are proposed based on the study results, suggesting that other countries should strictly regulate the settings of majors based on the real needs of industries; promote the development of technical knowledge, teaching materials, and teacher training; and explore the function of international exchange and cooperation, industry–education integration, and school–enterprise cooperation in educating people. This study provides a theoretical model for the quality evaluation of vocational education; in terms of practical value, the constructed model extends the scope of basic theory.

Retracted: Research on Teaching Quality Evaluation Model of Physical Education Based on Simulated Annealing Algorithm

Retracted: Research on Teaching Quality Evaluation Model of Physical Education Based on Simulated Annealing Algorithm

Evaluation and improvement of student learning experience in the post-COVID world: A lean six-sigma DMAIC study

In 2020, the COVID-19 pandemic necessitated a shift to remote work-from-home (WFH) setups, including in the education sector. This transition had a significant impact on the interaction between students and instructors. To address this, our study aims to investigate the effects of the sudden transition to online learning on teaching methodology and to propose improvements to enhance its quality. We have developed a scoring system to evaluate teaching quality in the post-COVID-19 world. The scoring function incorporates various metrics, including students’ performance, sentiment towards the course (course material, teaching method, communication, etc.), feedback scores for weekly lectures, and students’ retention scores for recorded/live lecture videos. Following the Lean Six Sigma (LSS) procedure (Define, Measure, Analyze, Improve, and Control—DMAIC), we assessed the overall quality of online courses. The undergraduate courses demonstrated an increase in overall score from 86.67% during the online transition to 90.0% after implementing the suggested improvements. For graduate courses, the initial face-to-face lecture score was 55.81%, which dropped to 50.28% during the first online transition. However, after a year, the score improved to 61.59%, indicating successful improvement efforts. Upon careful analysis of the data, this paper provides suggestions to enhance students’ online learning experience during situations similar to the COVID-19 pandemic. The outcomes of the study aim to improve the quality of online learning experiences for students.

Retracted: Evaluation of Japanese Teaching Quality Based on Deep Neural Network

Retracted: Evaluation of Japanese Teaching Quality Based on Deep Neural Network

Triangular Pythagorean fuzzy Bonferroni mean operators in multiple attribute decision making and applications to college English smart classroom teaching quality evaluation

At the stage of college education, English is a very important subject, which is directly related to the enhancement of college students’ English literacy and the improvement of their English level. From the perspective of mobile internet, the construction and application of college English intelligent classroom teaching mode can promote the reform and improvement of traditional English teaching mode. By giving full play to students’ subjectivity, English teaching can be carried out in a modern teaching classroom environment, which is conducive to strengthening students’ comprehensive English ability, which is also very important and meaningful for building an efficient college English classroom. The college English smart classroom (CESC) teaching quality evaluation is a classical multiple attribute decision making (MADM). In this paper, we define the triangular Pythagorean fuzzy set (TPFS) and investigate the multiple attribute decision making problems under it. Accordingly, we take advantage of traditional Bonferroni mean (BM) operator to develop some triangular Pythagorean fuzzy information operators: triangular Pythagorean fuzzy Bonferroni mean (TPFBM) operator and triangular Pythagorean fuzzy weighted Bonferroni mean (TPFWBM) operator. The dominating natures of these operators are researched. Accordingly, the TPFWBM operator is built for triangular Pythagorean fuzzy MADM. Ultimately, a practical example for CESC teaching quality evaluation is took advantage of to validate the developed approach.

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.