Quality Index System Research Articles

Forecasting Daily Air Quality Index and Early Warning System for Estimating Ambient Air Pollution on Road Networks Using Gaussian Dispersion Model with Deep Learning Algorithm

The rapid growth of the vehicle population is a major factor in heavy air pollution and public health issues. Traffic-related air pollutants (TRAPs) on roads are often much higher than ambient values, leading to high exposure levels in vehicles. This research proposes a hybrid forecasting model for early detection and early warning systems (EWS) of road networks during real-world travels. Data is collected from Kannur, Calicut, Palakkad, and Coimbatore using real-time sensors, including surrounding discussion information, activity information, vehicle speed, and stopping events. The study predicts ambient air quality (AAQ) levels on the road network using the Gaussian Dispersion model (GDM) and measures the risk sensitivity of PM10 and PM2.5 in selected regions. This helps formulate powerful prevention strategies and prevent negative health impacts. The air pollution module for predicting concentration has an innovative hybridization model that combines an improved cuckoo search (CS) and differential evolution (DE) algorithm with a stacked LSTM model to increase forecasting accuracy of six major environmental pollution levels. This model predicts the AAQ level and is effective and robust for warning one day before the pollutant event occurs based on the risk level of an ambient air pollutant from the RN.

Construction of sensitive quality indicators for rapid rehabilitation care of patients after combined pancreaticoduodenectomy

AimTo construct evidence-based sensitive quality indicators for patients’ rapid rehabilitation care after combined pancreaticoduodenectomy (PD) and to provide a reference for clinical nursing professionals to scientifically evaluate the quality of patients’ rehabilitation post-PD.BackgroundSince PD is associated with higher surgical risk and anastomotic complications, it leads to higher complication rates and longer postoperative recovery cycles. This reiterates the need for rapid recovery of patients after PD; however, the evaluation of sensitive nursing care indicators regarding rapid recovery post-PD has not yet been established to date.MethodsBased on the Donabedian structure-process-result theory model, we used available literature, semi-structured interviews, the Delphi method, and hierarchical analysis to establish a sensitive indicator system for patients’ rapid rehabilitation after PD and evaluate the importance of such indicators.ResultsThere were two rounds of expert correspondence, and the effective recovery rate of the questionnaires of these rounds was 100%. The expert authority coefficients, as well as the Kendall coordination coefficients of the expert opinions, were 0.859 and 0.872 as well as 0.423 and 0.431, with statistically significant differences (p < 0.05), respectively. Consequently, we developed a sensitive quality index system for patients’ rapid rehabilitation care after combined PD, including 3 first-level, 12 s-level, and 23 third-level indexes, respectively.ConclusionThe constructed sensitive quality index system developed for patients’ rapid rehabilitation nursing care after combined PD is standardized, practical, and aligned with the specialty characteristics. Furthermore, this might help greatly in improving the quality and safety of patients’ rapid rehabilitation nursing care after combined PD, standardizing nursing management skills, and enhancing nursing quality.

Establishment and analysis of quality index system for pediatric tumor nursing.

Nursing management considers nursing quality management at its core. Evaluation indexes of nursing quality not only control nursing quality, measure work enthusiasm, and judge the difference in nursing levels but also help nurses accurately understand the satisfaction degree of patients. To analyze pediatric tumor nursing quality evaluation indexes and establish a scientific and rigorous index system of children's nursing quality. Based on the "structure-process-result" in this study, the Delphi method was used to carry out questionnaire investigations and opinion collection for domestic experts in pediatrics, pediatric oncology internal medicine, and pediatric oncology surgical care and clinical aspects two times. In addition, the Kendall coordination coefficient and analytic hierarchy process were used to determine the content of indicators at all levels, set the weight, and finally establish the quality index system of pediatric tumor nursing. The response rate of 27 experts in the first round of the questionnaire was 100%, Ca0.77, Cs,0.73, Cr0.75, and the W value of the expert coordination coefficient was 0.315. In the second round of 27 expert consultations, the reply rate was 96%, Ca0.81, Cs0.80, Cr0.805, and the specialist coordination coefficient W value was 0.369. After two rounds of consultation, the importance evaluation scores of each indicator ranged from 3.31 to 4.88 and 3.29 to 5.00, respectively, and more than 94.7% of the indicators' importance evaluation scores were higher than 3.50. Finally, 3 Level-1 indicators, 12 Level-2 indicators, and 54 Level-3 indicators are established. This study has established a simple, comprehensive, and scientific quality index system for pediatric tumor nursing, highlighted the characteristics of pediatric tumor nursing, and provided an evaluation system for specialized nursing of pediatric tumors to more standardized pediatric tumor nursing and contribute to the sustainable and scientific development of pediatric tumor nursing.

Spatial quality measurement of commercial streets in old cities of medium-sized cities in China

ABSTRACT Chinese urban development has entered the stage of stock planning, and as an important part of urban public space, the construction of street space has a direct impact on urban development. High-quality street space contributes to sustainable urban development.High-quality street spaces are highly important for constructing vibrant and sustainable cities. Taking Jiaozuo city, a medium-sized city, as an example, this article establishes an evaluation index system for commercial street space quality from the aspects of external characterization and objective material space and uses the Pearson correlation coefficient to explore the influencing factors of urban commercial street space quality. This study finds that (1) crowd activities on commercial streets have different temporal and spatial patterns on weekdays and days off; (2) the external characterization of urban street space quality has a significant positive correlation with objective material spatial elements such as the density of public transportation stops, functional density, functional mixing, interface continuity, and spatial green visibility rate; (3) the enhancement of street accessibility and fine-tuning of functions are key to improving the spatial quality of commercial streets.This study provides theoretical basis and ideas for improving the spatial quality of commercial streets in medium-sized cities in China and promoting sustainable urban development.

Evaluation index system for carbon information disclosure quality in China's electric power sector based on a mutual information and back propagation neural network model

This paper employs the Mutual Information (MI) and Back Propagation (BP) neural network model to screen the preliminarily constructed evaluation index system for carbon information disclosure (CID) quality of public companies in China's electric power sector (EPS), which is subsequently incorporated into the fuzzy comprehensive evaluation (FCE) method for evaluation application. The results show that (1) after screening, 19 out of the 31 preliminarily constructed indicators constitute an optimal index set, and (2) the evaluation application of the screened index system validates the feasibility and applicability of the index system. Simultaneously, the evaluation results reveal a generally low CID quality in the EPS.

Research on multiscale OpenStreetMap in China: data quality assessment with EWM-TOPSIS and GDP modeling

ABSTRACT OpenStreetMap (OSM) is a voluntary platform designed to provide free and up-to-date geographic data. Since OSM is based on multisource geographic data provided by the public, the quality of the data has become a concern of researchers. In this study, a unified measure for evaluating OSM data quality was constructed, and the entropy weight method (EWM) and Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) model were used to evaluate the quality of multiscale OSM data in China from 2014 to 2020. In addition to evaluating the data quality, the use of OSM data quality index factors in economic modeling at different spatial scales in China was explored by using a geographic information system (GIS) analysis method and a geographically and temporally weighted regression (GTWR) model. Four machine learning models, SVM, RF, XGBoost and CatBoost, were used to simulate the grid-scale GDP, and the effectiveness of these simulations was discussed. The results showed that (1) the weights of OSM data quality indicator factors vary across different spatial scales. (2) From 2014 to 2020, the quality of national-scale OSM data first increased, then decreased and then gradually stabilized. In addition, the quality of OSM data at the provincial and municipal scales is significantly different, and the distribution is affected by the population and geographical environment. (3) Over time, the spatial clustering characteristics of OSM data quality at different spatial scales in China has continuously strengthened. In addition, the quality of Chinese OSM data displays obvious local spatial autocorrelation characteristics, which are dominated by H-H clustering and L-L clustering. (4) The GTWR model performs well in predicting and revealing the spatiotemporal correlation characteristics between GDP and OSM data quality indicators at the provincial and municipal scales in China. The correlations increase with decreasing spatial scale (provincial to municipal). Moreover, the GDP modeling ability is better in economically underdeveloped Northwest China and economically developed East China. (5) Four machine learning models coupled with road network length completeness, relative linear density, road name attribute completeness, POI name attribute completeness, road network accuracy, road network update frequency, POI update frequency, topological consistency and directional similarity yielded the best grid-scale GDP simulation values. Notably, the CatBoost model provided the best accuracy, and the results further verified that it is feasible to use the proposed OSM data quality index system to predict the regional economic development level in China.

Research on the Role Mechanism of Digital Economy in Enhancing the Quality of County Economic Development

The digital economy in the new era with data as the new production factor provides an important impetus to improve the quality of county economic development. In this paper, based on the construction of a county economic development quality and digital economy index system, based on China s county panel data, a double fixed panel model is used to explore the role of digital economy in improving the quality of county economic development mechanism. It is found that the digital economy can significantly improve the quality of county economic development; industrial structure upgrading and urban-rural integration development are important mechanisms for the digital economy to improve the quality of county economic development. Finally, this paper puts forward some targeted policy recommendations based on the results of the study.

GIS-based groundwater potential zonation and assessment of groundwater quality and suitability for drinking and irrigation purposes in the Shanmughanadhi river basin, south India

To develop a specific watershed scenario, the quantity and quality of groundwater resources must be assessed and monitored locally. In the present study, an attempt has been made to identify possible groundwater potential zones, determine the quality of groundwater resources in this region, and evaluate their suitability for drinking and irrigation purposes. This goal has been achieved with the combined use of the weighted index overlay analysis (WIOA), groundwater quality index (GWQI), Remote Sensing (RS), and Geographic Information System (GIS) techniques. The proposed study area, Shanmuganadhi, is marked with superior rainfall, oscillating temperature, and runoff with litho-units encompassing charnockite (CHK) and hornblende biotite gneiss (HBG). Over-abstraction of groundwater and intensive agricultural practices have resulted in declining and degrading water quantity and quality in this area. The resulting integrated thematic map has been classified into five groundwater potential zones, namely poor, low, moderate, high, and very high, covering 3.2, 45.49, 15.3, 27.9, and 8.1% area, respectively. Sixty groundwater samples were collected during the pre-monsoon (PRM) and analyzed for major Physico-chemical parameters. From the water quality index assessment, over 28.0% of the samples fall within the “excellent,” 8.0% “good” and 4.0% “poor” in CHK, followed by 5.71% “excellent,” 48.57% “good,” 37.14% “poor,” 5.71% “very poor” and 2.87% “unsuitable” for drinking purposes in HBG terrain of this region. Irrigation indices also demonstrated that most of the groundwater samples in the CHK and HBG exposed zones exhibited good classes for irrigation purposes, as evidenced by the SAR and %Na+. The outcome, which shows the research area's groundwater potential zones, is beneficial for improved groundwater resource planning and management. It is concluded that for larger-scale groundwater-quality investigation and assessment, the groundwater quality index-making approach (GWQI) is more practical and dependable. Water planners and decision-makers may find it helpful in effectively controlling and monitoring groundwater quality at the basin or watershed scale. Reducing urban land use and natural runoff from farms can help prevent water contamination in some regions. To ensure the safe use of groundwater, long-term monitoring of these groundwater was suggested.

Assessment of groundwater quality for drinking purposes of Malda District, India: Using WQI and GIS technique

AbstractWater, an essential life‐sustaining resource, holds global significance. Groundwater, a crucial component, provides substantial benefits to communities worldwide. This study focuses on evaluating the quality and suitability of groundwater for drinking purposes in the Malda district, employing methodologies that include the water quality index and geographic information systems. The data collected from West Bengal's groundwater yearbook for March 2020–2021 form the basis of this investigation. Following World Health Organization and Bureau of Indian Standards standard procedures, the study examines physicochemical characteristics and identifies hazardous elements such as potential of hydrogen, electrical conductivity, total hardness, Ca+, Na+, HCO3, F, Fe, SO4, K+, total dissolved solids, NO3, and Mg+. The findings reveal an alkaline nature in the groundwater of the Malda district, with dominant ions including HCO3−, F−, SO4−, and Cl−. Major cation chemistry is observed in Mg+, Ca+, and K+. Using the water quality index method, the results indicate 39% falling within the “excellent” category, 13% in “good” water quality, 34% considered “unsuitable,” 8% categorized as “poor,” and 4% falling into the “very poor” water quality bracket. The study's correlation and cluster analyses reveal complex relationships and distinct groupings among various parameters, emphasizing the need for comprehensive groundwater management. The study underscores the necessity for appropriate remediation measures to address high concentrations of trace metals in groundwater, posing potential health risks for domestic use. The incorporation of geographic information systems methodologies enhances the spatial understanding of these findings. This research contributes valuable insights for sustainable water resource management in the Malda district.

Research on Condition Assessment Method of Transformer Based on Cloud Model

The traditional evaluation method of transformer has the problems of strong subjectivity of threshold value and fuzzy correlation of state quantity, which is difficult to accurately evaluate the operation quality of transformer. In order to solve these problems, this paper proposes a comprehensive evaluation method of transformer performance evaluation and operation quality based on cloud model. The evaluation index system of power transformer operation quality considering performance is constructed, including target layer, performance layer and index layer. The triangular fuzzy number is used to optimize the set of expert opinions, and the indexes are combined and weighted by fuzzy analytic hierarchy process and entropy weight method. After the data is degraded, the membership matrix of transformer operation index is constructed by using the cloud model, and the performance state weighting and membership degree are comprehensively considered to realize the performance evaluation of transformer and the comprehensive evaluation of operation quality based on performance. By using this method to predict 10 transformers in operation for a period of one month, it is possible to accurately identify abnormal situations on site, with a prediction accuracy of 96.28%. Compared with the traditional method of “predicting first and then diagnosing”, it has improved by 14.32%, overcoming the shortcomings of subjectivity, ambiguity, and ignoring the correlation of state variables in traditional evaluation methods. This method provides new ideas and methods for accurate evaluation of transformers.

Study on Constructing Food Safety Hierarchical Management Index System: Taking S City in Jilin Province as an Example

In order to carry out the spirit of the "four strictest" important instructions on food safety, strict prevention and control of food safety risks, this paper takes the background of food safety hierarchical management policy, based on the OECD regulatory quality indicator system, and constructs the "two responsibilities" comprehensive indicator system of food safety according to the local conditions. This paper takes the background of food safety hierarchical management policy and constructs the "two responsibilities" comprehensive index system of food safety based on the OECD regulatory quality index system. In addition, the system is based on the questionnaire design, issued to the supervisors and practitioners of the two groups. The use of SPSSAU, regression analysis method to analyze the implementation of the policy under the two perspectives of the status quo, put forward more targeted regulatory countermeasures.

Power quality of DC microgrid: Index classification, definition, correlation analysis and cases study

DC microgrid has a promising future for its strong power supply capacity, good controllability, and high efficiency. The power quality of the DC microgrid is one of the core issues of planning, design, operation, and control. However, due to the zero-frequency characteristic of DC system, its power quality presents new characteristics. This paper analyzes the differences between AC and DC power quality and constructs the DC power quality index system. The DC harmonic, voltage fluctuation and flicker, voltage sag, voltage unbalances, and voltage deviations are defined according to the existing literature and standards. Moreover, the correlation between harmonics and fluctuations, voltage deviations and steady-state unbalances, voltage sags and transient unbalances are analyzed. Subsequently, the typical cases of the DC microgrids are selected to analyze the generation mechanism of each power quality phenomenon under different working conditions. According to the proposed index definition, the quantitative relationship between the indexes and the related parameters is obtained. The simulation cases are built to verify the generation mechanism and index relevance.

A study on the correlation between physical education courses and students’ health status in colleges and universities based on big data analysis

Abstract Physical education in colleges and universities is of great significance to the development of the whole education chain, to realize the goal of physical education courses in colleges and universities and to promote the physical and mental health development of students, this paper takes the physical education courses and students in Z college and university as the object of research, and proposes a correlation model of the physical education courses in colleges and universities and students’ health status by combining the fuzzy comprehensive evaluation and the Apriori correlation rule algorithm. The weights were calculated after constructing the physical education course quality index system. The quality of physical education courses in college Z was comprehensively evaluated. It was concluded that teaching explanation and demonstration (0.137), venue equipment (0.133) and physical education class schedule (0.113) had the most significant influence on the quality of physical education courses. The quality of physical education courses in the selected colleges and universities was good, scoring 88.93 points. When the quality of physical education courses is excellent and sound, the confidence level of students’ health status corresponding to excellent and sound is greater than 80%, indicating that physical education courses strongly correlate with students’ health. Among the various indicators of courses analyzed using big data, teaching explanation and demonstration, venue equipment, and students’ health status have stronger correlations.

Sustainable Development and Operational Mechanism Innovation of Educational Management Paths in Colleges and Universities in the Digital Era

Abstract With the continuous integration of digital technology in daily life, the management path of colleges and universities also carries out development and optimization. The triple helix theory of education management model innovation in colleges and universities is the basis of this paper, which builds a model for education management innovation led by schools. An evaluation index system for college education management quality was constructed, taking into account the quality effect demand of education management. On this basis, combining the hierarchical method and cluster analysis method to calculate and classify the weights of the indicators of educational management in colleges and universities, and evaluating the quality of educational management in colleges and universities through the fuzzy comprehensive evaluation method to complete the construction of the indicator system of quality of educational management in colleges and universities. After examining the performance of the evaluation model and the rationality of the indexes, it is applied to the educational management examples to explore the sustainable development path of the educational management path in colleges and universities. The results show that the overall index coefficient is 0.875 and greater than 0.6, and the comprehensive evaluation score of the actual management quality of the triple helix educational management is 4.6826 points out of 5, which verifies the validity and reasonableness of this paper based on the triple helix educational management innovation model. The sustainable development of educational management is positively impacted by its scientific guidance on the innovative direction of university educational management models.

Research on the intelligent education system design and local application practice of architecture major based on red resources

Abstract Red resources are an important part of China’s red culture, condensing red genes such as firm ideals and lofty revolutionary spirit, and have rich values of education. This paper combines red resources and Internet technology to design an intelligent parenting system for architecture majors and uses questionnaires to analyze the changes in students’ cognition of red resources and ideological quality level after the application of the parenting system. At the same time, we construct an evaluation index system for the implementation quality of the intelligent parenting system and obtain evaluation results by constructing an affiliation matrix between the indexes. Then analyze the correlation between the level of ideological quality and the quality of implementation of the parenting system. After the parenting system is applied, the mean value of each dimension of students’ ideological quality is distributed between 3.52 and 4.65 points, as evidenced by the application practice results. It has also been found that the average assessment score of the overall implementation quality of the intelligent parenting system for architecture majors based on red resources in colleges and universities is 3.94 points. The level of ideological quality and the implementation quality of the parenting system have a strong correlation. This paper lays the foundation for achieving the all-around integration of red resources and human education for architectural students and provides a reference basis for improving their ideological quality.

Applying the Maximum Information Entropy Model to Optimize Innovative Strategies for Physical Education Management

Abstract Physical education holds a crucial role in the educational systems of schools at all levels, and innovating physical education management is essential for promoting its coordinated development. This paper uses the maximum information entropy model as the foundation and, with the goal of optimizing the quality of physical education management, establishes an evaluation index system for physical education management quality based on the generalization and summarization of traditional evaluation theory. For the established evaluation indexes, the entropy weight method in the maximum information entropy model is used to assign certain weights to the indexes at all levels in order to highlight the importance of different indexes in the evaluation system of physical education management quality. In the process of indicator screening, the mean value of the first, second, and third level indicators established in this paper is greater than or equal to 3.75, and the standard deviation and coefficient of variation also meet the design requirements of this paper, so there is no need to eliminate the indicators or other work. In the weighting analysis, the weight of the teaching process is 0.5136, which is the evaluation indicator with the highest weight among all the first-level indicators, while the weight of the professional education competence is the highest among the second-level indicators and all the third-level indicators are also given the corresponding weights. According to the results of the screened evaluation indexes and weights, this paper completes the establishment of the quality evaluation system of physical education management based on the maximum information entropy model and the formulation of evaluation standards, which provides strong support for the innovation of physical education management.

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.

Construction of Hospice Care Evaluation System for Terminally Ill Patients in ICU.

Terminally ill patients can benefit from hospice care, which specifically addresses the needs of patients and families affected by terminal illness. However, there is a lack of standardized evaluation criteria to assess the quality of hospice care for terminally ill patients in the ICU, and it is impossible to evaluate the service quality of hospice care. To use the Delphi method to construct a hospice care system for terminally ill patients in ICU that meets clinical needs, and to provide theoretical support for nursing decision-making of terminally ill patients in clinical ICU. Obtain relevant literatures by entering specific key words into the database, the hospice care nursing system for terminally ill patients in ICU was preliminarily drawn up by literature analysis, and 24 experts in this field were consulted for 3 rounds by Delphi method to discuss the development status of hospice care and finally establish the hospice care nursing system. In the three rounds of letter inquiries, the positive coefficients of experts were all high, the expert authority coefficient (Cr) were 0.864, 0.849, 0.832, and the expert opinion coordination coefficient(W) were 0.186, 0.319, 0.224; The system includes 8 first-level indicators, 27 second-level indicators and 9 third-level indicators. In this study, three rounds of Delphi consultation methods were used to construct an evaluation index system for the nursing quality of hospice care for ICU patients. The evaluation indicators formulated closely focus on the physiological and psychological characteristics of ICU patients, which can provide a better reference for ICU patients with advanced life in the future.

Evaluation and Enhancing Path of the Teaching Quality of English Courses in Colleges and Universities Based on Fuzzy Evaluation Model

Abstract As an important part of the college curriculum, the English course has certain practical significance in the exploration of its curriculum construction. In this paper, we first constructed a teaching quality index system for English courses in colleges and universities, solved the weights of the indexes based on triangular fuzzy hierarchical analysis, and then introduced the theory of topology and simple correlation to improve the comprehensive fuzzy evaluation method for the assessment of the teaching quality of English courses. Finally, an empirical study is conducted to evaluate indicators at every level and their comprehensive quality. According to the study, the first-level indicators have the highest weight of 0.6016 for courses. The teaching quality of English courses in all 20 universities is good, with 53.34% of universities evaluating it as good or above. The teaching quality index of course B among the three English courses is the highest, 81.69. 90% of colleges and universities have received an evaluation grade of medium or above when teaching English courses. Among the indicators, curriculum, teaching, and teaching scholarship were rated as excellent. The evaluation of the course’s pioneering innovation, equipment support, and evaluability was very poor. Optimizing course content, equipment support, and course assessment can improve the quality of teaching English in higher education, according to this study.

Constructing and Empirical Research on Personalized Assessment of English instructors’ instruction quality in Higher Vocational Colleges and Universities

Abstract Personalized assessment of English instructors’ instruction quality is one of the key initiatives to improve the quality of English teaching. This paper proposes an EM-AGA-BP model for English teachers to assess instruction quality. The entropy value method is used for the initial evaluation of English teachers’ teaching quality. The BP neural network is optimized for evaluation learning based on the genetic algorithm of adaptive mutation so as to put forward a more comprehensive and scientific English teachers’ assessment of instruction quality model. At the same time, the English teachers’ instruction quality evaluation index system is constructed. In the empirical analysis, English teachers in colleges and universities are taken as the research object to verify that the assessment of the instruction quality index system by English teachers has better reliability and validity. In the assessment of teaching evaluation quality, English teachers’ evaluation skills are high, with the largest mean value of 4.12, followed by evaluation attitude and evaluation awareness, with mean values of 3.8 and 3.71, respectively, and the overall evaluation score of English teachers’ personalized teaching quality is 3.02, with the evaluation grade level of “medium,” and the evaluation scores of the five evaluation criteria levels are all in the same range. The evaluation scores of the five evaluation criteria layers are all within the score range, and the evaluation level is also “medium.”