Quality Evaluation System Research Articles

Innovation of Student Quality Evaluation Model in Vocational Education under Cloud Computing Environment

Abstract This paper takes cloud computing technology as the core, constructs a student quality evaluation model, collects and analyzes students’ learning data through cloud computing technology, proposes the direction of optimization and reform of the educational quality evaluation system, and establishes a comprehensive quality evaluation management system for students. Combining AHP and entropy weight methods, the subjective and objective weights of each index are calculated, and the comprehensive weights are determined through game theory. Based on the evaluation method of students’ comprehensive quality, the cloud model is established, the normal cloud digital features are calculated, and the mapping of qualitative concepts to quantitative representations is realized through the forward cloud generator, which completes the construction of the evaluation index system of students’ comprehensive quality. The evaluation cloud model is obtained by using the digital features calculation, and the cloud is located between levels 8 and 9 because E x = 8.5265, which has a closer fit with level 8, indicating that the comprehensive quality of the student belongs to the good upper level. In the comparison of the innovation of the student quality evaluation model, the comprehensive theoretical quality of the students in the experimental group is 8.215 points, and the P value is 0, significantly higher than that of the control group students, and the model innovation effect is remarkable.

A rapid evaluation method for the quality consistency assessment and spectrum-effect relationship study of Xiaohuoluo Pills developed based on the spectral and chromatography combined technology

To ensure the effectiveness of traditional Chinese medicine (TCM) and drive the advancement of high-quality Chinese medicine, the establishment of a scientifically sound quality evaluation system is particularly important. The...

Implementation Strategies and Quality Evaluation Systems for Community College Guided Pathways Programs

Abstract The “Guided Pathways” program in community colleges can promote the efficient completion of students’ studies without restricting their choices and promote the popularization of education. This paper proposes a specific strategy for the implementation of the Guided Pathway program, and proposes a quality evaluation model for the Guided Pathway program based on the Sparrow Search Algorithm and Deep Neural Networks to construct an evaluation system. In the construction of the quality evaluation model, transient optimization perturbations are added to the SSA to improve the diversity, searchability, and robustness of the population position transformation. DNN cannot retain all the valuable features, so they are optimized to form DRNN, which is the quality evaluation model based on ISSA-DRNN. In terms of overall performance, the ISSA-DRNN algorithm in this paper has a prediction accuracy of more than 98% in different datasets, and the training and testing time required for evaluation is also significantly shorter than that of SVM and DRNN algorithms, resulting in superior overall performance. The quality evaluation of the Guided Pathways program was conducted at a community college in District S, City Q, China. The primary and secondary indicators have mean values between [3.4,3.7] and [3.4,3.6] that fall short of the respondents’ expectation of more than 4 points and cannot meet the demand. The implementation of Guided Pathways in S community college has deficiencies, and it should be improved and optimized by combining them with the implementation strategies proposed in this paper.

The application of OBE fused with PDCA teaching model in teaching business English

Abstract Aiming at the problems existing in traditional business English teaching, this study, based on the OBE teaching concept, creates a business English teaching model consisting of two aspects, namely, the teacher-led PDCA major cycle of enhancing learning outcomes output and the student-led PDCA minor cycle of learning management. On this basis, the College of Foreign Languages of a university is taken as an example for practical application, and the PDCA+OBE business English teaching quality evaluation system is established. For the interval number judgment matrix, the interval number judgment matrix is decomposed. Then, the sorting weight vector of the interval number judgment matrix is calculated using the characteristic root method. The results show that reading (P = 0.005), listening (P = 0.032), speaking (P = 0.037), and translation skills improve significantly after PDCA+OEB business English teaching. In the quality evaluation, the teaching method has the most significant influence on the quality of business English teaching, and its weight reaches 0.323. Followed by teaching attitude, and its weight reaches 0.274. In conclusion, the PDCA+OBE business English teaching classroom can significantly improve the quality and effectiveness of teaching, and the students’ satisfaction is high.

Research on Change and Innovation of Quality Evaluation System of Ideological and Political Education in Contemporary Colleges and Universities-Based on CIPP Model

Abstract Civic and political education work in colleges and universities is a reform measure of human education put forward under the fundamental pursuit and urgent demand for human education in colleges and universities by the development of the country and society. The article first researches the relevant theories of the factor analysis method, completes the construction and step-by-step design of the factor analysis mathematical model of the evaluation index of Civic and Political Education, and further constructs the CIPP model. Finally, it takes the work of Civic and Political Education in School H as an empirical study. It tries to carry out a panoramic evaluation of it so as to improve and optimize the work of Civic and Political Education. The weights of the first-level components based on the CIPP evaluation model are in the following order: evaluation of practice teaching results (0.3814) > evaluation of practice teaching process (0.2834) > evaluation of practice teaching input (0.1735) > evaluation of practice teaching background (0.1590). The results of the application of the evaluation system fully proved the rationality of the indicators constructed in this paper, which can provide a basis for the reform and innovation of Civic and Political Education.

The Construction of Undergraduate Course Teaching Quality Evaluation System Based on PBL

The Construction of Undergraduate Course Teaching Quality Evaluation System Based on PBL

Interdisciplinary Talent Cultivation and Development of Drama, Film and Television Literature in the Perspective of New Media

Abstract With the change in knowledge production mode, “inter-specialization of drama, film and literature” has become an important cradle of innovation. In this paper, under the perspective of new media, we have constructed an interdisciplinary talent cultivation mode of drama, film, and literature and its quality evaluation index system, and after standardizing the indexes by using the extreme value method, we calculate the index weights of the inter-disciplinary talent cultivation quality evaluation system by using the entropy weight method. Combining the indicators obtained at all levels and the gray correlation analysis method, the quality level of interprofessional talent training in drama, film, and literature is comprehensively evaluated. To further explore the effectiveness of inter-specialty talent cultivation in drama, film, and literature, a quantitative analysis is carried out with the drama, film, and literature major of T College of Arts as an example. The results show that: In the evaluation of talent cultivation quality, the weight values of ideological and moral level and relocatable ability are 0.342 and 0.207, and the overall proximity of the overall level of interprofessional talent cultivation of drama, film, and literature from 2018 to 2022 has been increased by 0.16. The enhancement of the quality of interprofessional talent cultivation of drama, film, and literature needs to break down the current professional barriers, coordinate the planning, share the resources, and collaborate in the cultivation of human beings to ensure that inter-professional education is steadily promoted and the quality of talent cultivation is effectively improved.

Construction of an information-based English teaching quality evaluation system based on the fusion of multimedia English educational resources

Abstract Today's information technology is constantly evolving, multimedia teaching, a new form of classroom teaching, has long been widely used by colleges. However, in many colleges, its teaching advantages have not been fully exerted, although the school spends a lot of human, data, and financial resources to publicize and promote multimedia classroom teaching, the effect of multimedia classroom teaching is not very good. There are many reasons for this, including the lack of an effective evaluation system to guide teachers in their teaching activities. Therefore, the top priority is Establishing a correct and appropriate multimedia English teaching evaluation index system. Starting from the characteristics and requirements of multimedia classroom teaching, this paper constructs a multimedia classroom teaching evaluation index system in colleges and universities based on the problems faced by current multimedia classroom teaching, promoting the quality of teaching in multimedia English classrooms through the English Teaching Evaluation System - the medium between theory and practice. The teacher teaching quality evaluation system studied in the thesis can completely solve the problem of unreasonable evaluation of teacher learning quality, and provide an integrated teaching quality evaluation model for students, teachers, and academic affairs offices. The system has changed the original evaluation method and constructed a teaching quality evaluation model that integrates. Data collection, evaluation management, online evaluation, and teaching resource data management, to achieve fair, scientific, and comprehensive evaluation, and provide a comprehensive management and analysis platform for comprehensively mastering evaluation of multimedia English teaching quality.

A Quality Evaluation System for Dissertation Based on Fuzzy Analytic Hierarchy Process

A Quality Evaluation System for Dissertation Based on Fuzzy Analytic Hierarchy Process

Intelligent Assessment of Teaching Quality of Computer Technology Courses in Colleges and Universities Based on ISSA-DRNN

Abstract With the continuous development of artificial intelligence technology, its application in the teaching of computer technology courses in colleges and universities is gradually deepened. In this study, the traditional sparrow search algorithm (SSA) is first processed to find the optimal solution, and then the ISSA algorithm is proposed and modeled. Training the deep recurrent neural network algorithm (DRNN) and combining it with the ISSA algorithm resulted in the construction of the teaching wisdom assessment model for the course. Finally, a teaching quality evaluation system for computer courses is constructed and applied to explore changes in teaching quality. The results show that in the assessment of the teaching quality of computer technology courses, the course structure and the teacher’s profile occupy the highest weight, and the weights occupied by these two items are more than 0.7. Secondly, the accuracy of the ISSADRNN model reaches more than 95%, and the maximum error is 0.0284. The average scores of each index system are more than 88. The overall performance is good and close to excellent. The model output’s actual value is within the expected range and has high accuracy. It can be seen that the intelligent assessment model of computer teaching quality proposed in this study has broad application potential and practical value.

Construction and analysis of a business English classroom teaching quality evaluation system based on multimodal neural network model assessment

In this paper, we propose a method for effectively evaluating the quality of business English teaching in colleges and universities. The approach is based on a multimodal neural network model integrated with grey correlation analysis. By employing the optimal data clustering criterion, we identify teaching quality evaluation indices. Subsequently, we establish a teaching quality evaluation index system using a genetic algorithm (GA) optimized Radial Basis Function (RBF) neural network. Grey correlation analysis is then applied to assess the quality of business English teaching by considering the relationship between the correlation degree and the evaluation level. The results indicate a correlation degree exceeding 0.90, signifying excellent teaching quality. The reliability of the selected evaluation indicators, assessed through retesting, surpasses 0.700, validating the evaluation results.

International Experience of Civil Aviation Service Quality Evaluation

Civil aviation service quality evaluation research plays a crucial role in improving the travel experience of passengers and increasing the market competitiveness of civil aviation transport enterprises. There have been relatively abundant relevant theoretical research results, but combined with the practical application, there are still areas that need further exploration and improvement. Based on the development of the connotation of service quality evaluation, this paper reviews the research on civil aviation service quality evaluation in terms of the development history, index system, index weights, methods and models of service quality evaluation, and finds that there are obvious differences in service quality evaluation research in terms of methods and other aspects. According to the results, the international experience of civil aviation service quality evaluation can provide a reference for the construction of China's civil aviation service quality evaluation system.

Evaluation of the effect of nanocellulose edible coating on strawberries inoculated with Aspergillus flavus through image analysis

The impact of a coating solution containing chitosan, lignocellulosic nanofibers (LCNF), and raspberry leaf extract on strawberry quality was assessed. Strawberries were coated, inoculated with Aspergillus flavus (a major aflatoxin producer), and stored at 5 ± 1 °C for 16 days. An automated fruit quality evaluation system was developed, and daily images were taken for analysis. ImageJ software was used to evaluate colour, size loss, and fungal damage. Coating solution significantly reduced fruit size loss, with coated strawberries showing 18.4 ± 12.8% size loss after 16 days, compared to 30.2 ± 8.4% in the control group and 25 ± 10.7% in uncoated strawberries. Regarding colour, lower colour changes were observed in coated fruit compared to the control during storage (p ≤ 0.05). Fungal damage did not significantly differ between treatments during storage (p > 0.05). Furthermore, the study demonstrated that image analysis and visual estimation methods for assessing fruit fungal damage yielded similar results, with a strong correlation (R2 = 0.87). This suggests that the proposed image analysis methodology is effective for the assessment of fungal damage in strawberries compared to visual estimation. Chitosan-LCNF-raspberry extract coating solution shows promise in enhancing strawberry quality by reducing size loss during storage and managing fungal development.

Efficacy and safety of Shenqi Fuzheng injection combined with chemotherapy for cancer: An overview of systematic reviews

BackgroundIn China, Shenqi Fuzheng injection (SFI) has been used as an adjuvant therapy to treat all kinds of cancer for many years. A large number of systematic reviews or meta-analyses (SRs/MAs) were published to assess its efficacy and safety in the past few years. However, the quality of SRs/MAs was unclear and did not generate high-quality clinical evidence. Objective: We conducted an overview to integrate relevant SRs/MAs published in the past with the aim of providing new clinical evidence for SFI in combination with chemotherapy in the treatment of cancer. ObjectiveWe conducted an overview to integrate relevant SRs/MAs published in the past with the aim of providing new clinical evidence for SFI in combination with chemotherapy in the treatment of cancer. MethodsA comprehensive search of PubMed, Web of Science, Embase, the Cochrane Library, CNKI, VIP, WanFang, and CBM was performed from the database inception to September 30, 2023. SRs/MAs of randomized controlled trials (RCTs) on SFI combined with chemotherapy for cancer were included. Four reviewers screened the literature and extracted relevant information. Five reviewers assessed the quality of reporting, methodological quality, risk of bias, and quality of evidence for SRs/MAs. We used corrected covered area (CCA) to assess the degree of overlap among the RCTs included in SRs/MAs. We performed a descriptive analysis for the results of the included SRs/MAs. ResultsA total of 32 SRs/MAs of SFI combined with chemotherapy for cancer were included. We assessed the reporting quality of SRs/MAs using the PRISMA 2020 statement. 1 SR/MA had relatively complete reports, 20 SRs/MAs had some deficiencies in reporting, and 11 SRs/MAs had serious deficiencies in reporting. We assessed the methodological quality of SRs/MAs using the AMSTAR 2 tool. The methodological quality of all SRs/MAs was very low. We assessed the risk of bias for SRs/MAs using the ROBIS tool. The risk of bias was low for 19 SRs/MAs and unclear for 13 SRs/MAs. We assessed the quality of evidence for SRs/MAs using the GRADE evidence quality evaluation system. 50 items were moderate quality, 46 items were low quality, 27 items were very low quality, and 85 items were unclear. SFI combined with chemotherapy played a role in increasing efficacy and decreasing toxicities in all kinds of cancer, including clinical efficacy (except liver cancer), quality of life, immune function (except CD8+), leukopenia, thrombocytopenia, hemoglobinopenia, nausea and vomiting, liver damage, kidney damage, neurotoxicity, alopecia, and diarrhea. ConclusionThe overview showed that SFI combined with chemotherapy may improve clinical efficacy (except for liver cancer), quality of life, and immune (except for CD8+) function in all types of cancer, as well as adverse events (AEs) such as leukopenia, thrombocytopenia, etc. Since most of the clinical evidence was low, higher quality clinical trials will be expected to improve the reliability of the above conclusions in the future.

Peran Kode Etik Guru dalam Meningkatkan Mutu Pembelajaran Berdasarkan Yohanes 13:12-15

This study aims to determine the role of the teacher's code of ethics in improving the quality of Christian education learning based on John 13:12-15 in schools. This study uses a qualitative method. The results of the study show that the role of the teacher's code of ethics in schools. Christian Religious Education has been well implemented, but there are still some obstacles in the role of a code of ethics in improving the quality of Christian religious education. These obstacles include the lack of socialization of the teacher's code of ethics to teachers, the teacher's lack of understanding of the teacher's code of ethics, and the lack of sanctions given to teachers who violate the code of ethics. To improve the quality of education, PAK educational institutions must apply John 13:12-15 as a guideline, namely to increase teacher competency through training and seminars, apply innovative learning methods, and develop a quality evaluation system. From the results of this study it is suggested for schools to further increase socialization regarding the role of the teacher's code of ethics, increase teachers' understanding of the code of ethics, and provide strict sanctions to teachers who violate the code of ethics.

Research and application of the talent training mechanism in the integration of industry and education in private colleges under the new situation

The integration of industry and education, as well as collaborative talent development in higher education, is an effective approach for deep collaboration between applied undergraduate institutions and enterprises in the new era. It represents a new direction for achieving talent development goals in private colleges. However, there are still some shortcomings in the current integration of industry and education and collaborative talent development, such as insufficient understanding of the subject, a single educational model, lagging faculty development, and incomplete quality assurance and evaluation systems. In response to these problems and based on the current status of the integration of industry and education in private undergraduate institutions, this paper explores a new path for talent development through industry-education integration and school-enterprise cooperation, aiming to build a favorable environment for the steady development of private colleges.

The Application of CIPP Model in the Evaluation of Teaching Quality of College Education in the Context of New Era

Abstract The flaws in the conventional teaching quality evaluation system that have always existed have not been fixed since the start of the new century. This study suggests a teaching assessment model for college education that utilizes the CIPP model since there is a pressing need for a model that can satisfy the demands of the modern educational environment. The investigation examines the relevance of both approaches to teaching quality evaluation in educational institutions by combining the advantages of CIPP and BP neural networks. The artificial neural network’s working mechanism is described, the weights within the BP learning algorithm are modified, and the first version of the teaching assessment model is inferred based on an analysis of the structure and function of neurons. The conceptual model of teaching quality assessment in higher education is intended to be completed by the model’s algorithm and framework. Investigate and analyze the teaching quality of S colleges and universities using the empirical analysis approach. The results of the empirical investigation show that the correlation coefficients of the 4 dimensions of teaching evaluation are above 0.6, with control between 0.3-0.8, and they have a strong correlation. The Cronbach’s alpha coefficients of the survey are all above 0.7, with very good reliability.

Teaching quality evaluation of college civic and political science courses based on BP neural algorithm

Constructing the evaluation system of ideological and political education of new media in colleges is both beneficial to evaluate the established ideological and political education work and an important guide to improve the corresponding work. At present, promoting ideological and political education work with high integration of information technology has become an important way of ideological and political education work in colleges. However, the theoretical circles are still not focused enough on how to evaluate the ideological and political education work in colleges. Based on the characteristics of the information age, this paper establishes the teaching quality evaluation system of ideological and political education courses in colleges, introduces BP neural network evaluation method, and obtains strong empirical support through simulation experiments, so as to build a feasible teaching quality evaluation model of ideological and political courses in colleges. At the same time, the corresponding optimization suggestions are put forward, including improving the relevance of ideological and political education work, dynamically grasping students’ ideological and political information and doing a good job of data processing, and improving the professional information literacy of the ideological and political work team, in order to provide some reference for the efficient development of ideological and political education work in colleges.

Research on rapid quality identification method of Panax notoginseng powder based on artificial intelligence sensory technology and multi-source information fusion technology

Panax notoginseng powder (PNP) has high medicinal value and is widely used in the medical and health food industries. However, the adulteration of PNP in the market has dramatically reduced its efficacy. Therefore, this study intends to use artificial intelligence sensory (AIS) and multi-source information fusion (MIF) technology to try to establish a quality evaluation system for different grades of PNP and adulterated Panax notoginseng powder (AD-PNP). The highest accuracy rate reached 100% in identifying PNP grade and adulteration. In the prediction of adulteration ratio and total saponin content, the optimal determination coefficients of the test set were 0.9965 and 0.9948, respectively, and the root mean square errors were 0.0109 and 0.0123, respectively. Therefore, the grade identification method of PNP and the evaluation system of AD-PNP based on AIS and MIF technology can rapidly and accurately evaluate the quality of PNP.

Research on Reconstruction and Application of Blended Teaching Quality Evaluation System under “New Economics and Management’’ Strategy

Based on the problems and deficiencies of the existing blended teaching quality evaluation index system, this study puts forward the principle of reconstructing the blended teaching quality evaluation system under the strategy of “New Economics and Management’’, and constructs a blended teaching quality evaluation system that serves the strategy of “New Economics and Management’’ in seven aspects, namely, teaching concept, teaching content, teaching means, teaching method, teaching service, teaching management, and teaching guarantee, in order to provide the basis of the school’s blended teaching reform.