Construction Of Evaluation System Research Articles

Construction of Sensory Evaluation System of Purple Sweet Potato Rice Steamed Sponge Cake Based on Fuzzy Mathematics

This paper presents the establishment of a sensory evaluation system for purple sweet potato rice steamed sponge cake (PSPRSSC) utilizing fuzzy mathematics. Initially, eight key sensory evaluation indices were identified through expert consultations. These indices were subsequently prioritized using fuzzy binary comparison, resulting in the following order: aroma, taste, crust color, elasticity, viscosity, chewiness, hardness, and brightness. The corresponding weight values assigned to each index were 23%, 18%, 16%, 13%, 12%, 8%, 6%, and 4%, respectively. Notably, aroma was found to have a more significant impact than visual attributes in the sensory evaluation of PSPRSSC. Based on this prioritization, comprehensive sensory evaluation criteria for PSPRSSC were formulated. Verification tests confirmed the efficacy of the proposed evaluation system. This study provides critical data and theoretical support for the sensory quality assessment of PSPRSSC, thereby facilitating its industrialization and enhancing its market viability.

Research on the construction of a service quality evaluation system for university student dormitories based on the Delphi method

Student dormitories play a pivotal role in the daily lives of university students in China, significantly influencing their academic, residential, and developmental experiences. However, there is a lack of a standardized framework to evaluate the service quality of these dormitories. This study aimed to develop a customized service quality evaluation index system specifically for Chinese university dormitories. The Delphi method and Analytic Hierarchy Process (AHP) were employed, involving 15 experts from Chinese universities. Two rounds of expert deliberation were conducted, starting with 28 initial indicators. The expert consultations resulted in the identification of six primary and 23 secondary indicators that form the service quality evaluation system. This framework is tailored to the specific needs of Chinese university dormitories and provides a solid technical foundation for future evaluations. It is expected to contribute to the improvement of dormitory management practices across China.

Digital Transformation of Physical Education in Colleges and Universities: Theoretical Logic, Practical Dilemma and Practical Approach

With the rapid development of information technology, the digital transformation of education has provided new ideas, new resources and new methods for the practice of physical education in colleges and universities, and has become an important support and power source for the high-quality development of physical education in colleges and universities in the new era. By using the methods of literature and logical analysis, this paper analyzes the theoretical logic, practical dilemma and practical path of educational digitization in the practice of physical education curriculum in colleges and universities. The research holds that the theoretical logic includes conforming to the concept of education modernization, adapting to the individual needs of students, helping to improve the quality of physical education and promoting the fairness of physical education. This paper analyzes the practical difficulties faced in the process of transformation, such as uneven digital literacy of teachers, insufficient integration of digital resources, imperfect teaching evaluation system and weak infrastructure construction. It also puts forward the corresponding practical approaches, including improving teachers’ digital ability, optimizing the construction of digital resources, and constructing a scientific evaluation system, aiming to provide a useful reference for promoting the digital transformation of physical education in colleges and universities.

Ecological Suitability Evaluation of City Construction Based on Landscape Ecological Analysis

Ecological suitability evaluation is a critical component of regional sustainable development and construction, serving as a foundation for optimizing spatial patterns of regional growth. This is particularly pertinent in karst mountainous regions characterized by limited land resources and heightened ecosystem vulnerability, where a quantitative assessment of ecological suitability for land development is both crucial and urgent. Based on the fundamental principles of structural and functional dynamics in landscape ecology, this study focuses on Gui’an New Area, a designated urban development zone situated in the karst landscape of Guizhou Province. An index system was established encompassing three dimensions: ecological elements, ecological significance, and ecological resilience, utilizing the integrated ecological resistance (IER) model to evaluate the suitability of regional development and construction. The results reveal that the eastern region exhibits higher suitability compared to the central and western regions, with the northwest region demonstrating the lowest suitability overall. Relatively speaking, the evaluation of geological environment suitability and the comprehensive ecological constraints associated with development and construction indicates that the areas currently planned and ongoing reflect flat terrain and low ecological risk. Furthermore, within the scope of ecosystem dynamic adaptation, developmental activities in these regions exert minimal impact on the natural ecosystem, thereby demonstrating a high suitability for development and construction. In terms of future key development zones, areas with gentle slopes ranging from 8 to 15 degrees are recommended, aligning with the actual requirements for cultivated land protection. The total area designated as prohibited development zones constitutes the smallest proportion, representing only 9.45%, which is significantly lower than that of priority development zones (38.75%) and moderate development zones (22.45%). From the perspective of landscape ecology, this paper provides a comprehensive investigation into the ecological suitability evaluation system for development and construction in the karst regions of Southwest China, offering valuable insights for assessing ecological suitability in similar areas.

The Red Sports Culture is Integrated Into The Public Sports Curriculum of Colleges And Universities Evaluation System Construction And Path Analysis

The red sports culture, which was born in the revolutionary era, is an excellent traditional culture of the Chinese nation. Its inheritance and development reflects the theoretical consciousness of the coordinated development of "cultural power" and "sports power". The integration of red sports culture into the public physical education curriculum of colleges and universities is the in-depth analysis of the concept of cultivating college students' "cultural self-confidence" and the goal path of forging ahead "sports power". In this study, the literature method, Delphi method, expert interview method, analytic hierarchy process and other research methods are used to construct the evaluation system of integrating red sports culture into public physical education courses in colleges and universities, including 4 first-level indicators, 13 second-level indicators and 42 third-level indicators, and determine the weights of indicators at all levels. Finally, objective analysis and case enumerations are made according to the weights assigned to indicators at all levels. And put forward the path of integrating red sports culture into college public physical education curriculum construction.

Evaluation system of vocational education construction in China based on linked TOPSIS analysis

In response to the task of vocational education reform in the new era, in order to cultivate innovative skilled talents, it is necessary to improve traditional evaluation methods to enhance their efficiency. This study proposes an evaluation model for vocational education construction that combines grey relational analysis and approximate ideal point method (TOPSIS). By selecting indicators and combining subjective analytic hierarchy process and objective entropy weight method for weight allocation, the weights of the indicators are determined using subjective analytic hierarchy process and objective entropy weight method. Through experimental analysis, the results showed that among the 11 analysis indicators, the weight of policy environment indicators was the highest at 0.124, while the weight of employment rate and contract signing rate indicators was the lowest at 0.050. The above results indicate that the TOPSIS comprehensive evaluation system based on grey correlation analysis has better application effects in practical scenarios and is more suitable for the development requirements of vocational education.

Construction of Evaluation Index System of Specialized Teaching Effect of Physical Education in Universities

In the field of physical education, the specialized teaching of physical education in colleges and universities is gradually becoming the focus. This study aims to build an evaluation index system of specialized physical education teaching effect in colleges and universities, so as to accurately reflect the current actual situation of physical education teaching in colleges and universities. By clarifying the principles that should be followed in the construction of an evaluation index system and listening to experts' opinions, it is ensured that the constructed evaluation system can not only fully reflect the teaching effect, but also objectively evaluate the teaching quality. Finally, a comprehensive evaluation system is put forward and implemented, so that colleges and universities can more clearly understand the advantages and disadvantages of physical education, and then formulate targeted improvement measures. This will not only help to improve the quality of physical education in colleges and universities, but also improve students' physical literacy and physical and mental health.

Screening of Ecotypes and Construction of Evaluation System for Drought Resistance during Seed Germination in Kudouzi (Sophora alopecuroides)

Drought is a major limiting factor in the cultivation of Sophora alopecuroides in China’s arid and semi-arid regions. This study aimed to identify drought-resistant S. alopecuroides ecotypes and explore key drought tolerance indicators during germination by simulating drought conditions with a 10% PEG-6000 solution, using pure water as a control. Determination of seven germination indicators for S. alopecuroides, including germination rate (GR), germination energy (GE), germination index (GI), vigor index (VI), promptness index (PI), fresh weight (FW), and dry weight (DW), was conducted. Principal component analysis (PCA), membership function, cluster analysis, and linear regression were employed to comprehensively evaluate the drought resistance of thirty-five S. alopecuroides ecotypes. The results showed that drought stress caused reductions in six of the seven indicators across all ecotypes, except for DW, compared to the control. Correlation analysis revealed varying relationships among the indicators, with most showing significant or highly significant correlations. PCA reduced the seven indicators to two independent comprehensive factors, with a cumulative contribution rate of 83.99%. Based on the D-value and cluster analysis, the thirty-five ecotypes were ranked for drought resistance and classified into four categories. The top five drought-tolerant genotypes during the germination stage were identified as Yutian, Alar, Jinghe, Baoding, and Guyuan. Moreover, the stepwise regression model was established and demonstrated that GR, GE, PI, FW, and DW are key indicators for screening and identifying drought-resistant S. alopecuroides ecotypes. This study offers a comprehensive and reliable method for evaluating drought resistance in S. alopecuroides ecotypes and provides a reference for selecting ecotypes for artificial cultivation in Northwestern China.

Quality Evaluation of Public Spaces in Traditional Villages: A Study Using Deep Learning and Panoramic Images

In the context of rapid urbanization, public spaces in traditional villages face challenges such as material ageing, loss of characteristics, and functional decline. The scientific and objective assessment of the quality of these public spaces is crucial for the sustainable development of traditional villages. Panoramic images, as an important source of spatial data, combined with deep learning technology, can objectively quantify the characteristics of public spaces in traditional villages. However, existing research has paid insufficient attention to the evaluation of the quality of public spaces in traditional villages at the micro-scale, often relying on questionnaires and interviews, which makes it difficult to meet the needs of planning and construction. This study constructs an evaluation system for the quality of public spaces in traditional villages, taking national-level traditional villages in the Fangshan District of Beijing as an example, based on traditional field research, using deep learning and panoramic images to automatically extract the features of public spaces in traditional villages, using a combination of the Analytic Hierarchy Process (AHP) and Criteria Importance Through Intercriteria Correlation (CRITIC) methods to determine the weights of the indicators and applying the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method to evaluate the quality of public spaces in traditional villages. The study found that the quality of public spaces in Nanjiao Village is Grade I; Shuiyu Village and Liulinshui Village, Grade III; and Heilongguan Village, Grade IV and that there is still much room for improvement in general. The evaluation results match well with the public’s subjective perceptions, with an R2 value of 0.832, proving that the constructed evaluation system has a high degree of accuracy. This study provides a scientific basis and an effective tool for the planning, design, and management of public spaces in traditional villages, which helps decision-makers better protect and utilize them.

Research on the Construction of Evaluation System for the Main Position of Enterprise led Industry University Research Collaborative Innovation

The study of the evaluation system for the dominant position of enterprises in collaborative innovation between industry, academia, and research is of great significance for guiding policies, promoting cooperation, and improving innovation efficiency. This article reviews previous research, based on the life cycle theory and the process perspective of enterprise participation in industry university research collaborative innovation, and proposes the main body status and evaluation system of enterprise led industry university research collaborative innovation, including four primary indicators of research and development investment, activity participation, scientific and technological achievements, and achievement benefits, and 18 secondary indicators. At the same time, principal component analysis and factor analysis were used to quantitatively analyze relevant indicators and variables, and the rationality of the enterprise led evaluation system for collaborative innovation between industry, academia, and research was sorted out. The research findings contribute to a better understanding of the impact of enterprise led collaborative innovation between industry, academia, and research on economic and social development, and provide guidance for future research and practice.

Construction of a Food Safety Evaluation System Based on the Factor Analysis of Mixed Data Method.

Food safety evaluation, which aims to reflect food safety status, is an important part of food safety management. Traditional food evaluation methods often consider limited data, and the evaluation process is subjective, time-consuming, and difficult to popularize. We developed a new food safety evaluation system that incorporates simple qualification degrees, food consumption, project hazard degrees, sales channels, food production regions, and other information obtained from food safety sampling and inspection to reflect the food safety situation accurately, objectively, and comprehensively. This evaluation model combined the statistical method and the machine learning method. The optimal distance method was used to calculate the basic qualification degree, and then expert elicitation via a questionnaire and the factor analysis of mixed data method (FADM) was applied to modify the basic qualification degree so as to obtain the food safety index, which indicates food safety status. Then, the effectiveness of this new method was verified by calculating and analyzing of the food safety index in region X. The results show that this model can clearly distinguish food safety levels in different cities and food categories and identify food safety trends in different years. Thus, this food safety evaluation system based on the FADM quantifies the real food safety level, screens out cities and food categories with high food safety risks, and, finally, helps to optimize the allocation of regulatory resources and provide technical and theoretical support for government decision-making.

Construction and Case Analysis of a Comprehensive Evaluation System for Rural Building Energy Consumption from an Energy–Building–Behavior Composite Perspective

A comprehensive evaluation system for rural building energy consumption from an innovative composite perspective was established, suitable for southwest of China. The index system was established by brainstorming and the Delphi method, the weights of the comprehensive evaluation model were calculated by the analytic network process (ANP) method, and the scoring criteria of all evaluation indexes were levelled based on fuzzy evaluation theory. The system model was verified by case analysis, in the countryside around Chengdu Second Circle. Taking into account the highest weight, lowest comprehensive score, and widest range of comprehensive scores, three key factors were identified, namely percentage of clean energy use, thermal performance of exterior walls, and implementation rate of energy-saving measures. The distribution of comprehensive indicators and evaluation factors had certain spatial distribution characteristics, and the overall spatial distribution was characteristically high in the southeast and low in the northwest. Finally, based on key factors and regional distribution characteristics, energy-saving measures are proposed from three aspects: increasing sunrooms, adding wall insulation layers, and standardizing air conditioning temperature settings.

Construction and Practical Research on the Evaluation System of Vocational Innovation and Entrepreneurship Competition

In the education and teaching of vocational colleges, innovation and entrepreneurship competitions are of utmost importance. They can reflect students’ innovation and entrepreneurship abilities and the evaluation results can also help to continuously improve and perfect innovation and entrepreneurship education in vocational colleges. Therefore, it is necessary to vigorously build a comprehensive evaluation system for innovation and entrepreneurship competitions in order to improve the level and effectiveness of vocational talent cultivation. Therefore, in the paper, an in-depth exploration was conducted on the construction and practice of the evaluation system for innovation and entrepreneurship competitions in vocational colleges and corresponding improvement suggestions were proposed to strengthen the effectiveness of the evaluation system construction for innovation and entrepreneurship competitions in vocational colleges.

Research on the Construction of Curriculum Ideological and Political Evaluation System in the Reform of Information Technology Curriculum in Vocational Colleges

Research on the Construction of Curriculum Ideological and Political Evaluation System in the Reform of Information Technology Curriculum in Vocational Colleges

Research on the construction and application of a smart library services maturity evaluation system based on CMM

PurposeSmart libraries are the result of the application of smart technologies in the era of digital intelligence. The establishment and improvement of its service evaluation system serve as indicators for evaluating the growth of smart libraries.Design/methodology/approachThis study introduces and improves the capability maturity model (CMM), creatively constructs a service maturity model specifically designed for smart libraries and combines the Delphi method with the analytic hierarchy process (AHP) to establish a service maturity evaluation system for smart libraries while calculating indicator weights. Finally, two representative smart libraries are selected as case studies, and an empirical application is conducted using the fuzzy comprehensive evaluation method.FindingsThe empirical study shows that the developed smart libraries service maturity evaluation system holds significant theoretical and practical value in evaluating smart libraries.Originality/valueEnhances the CMM and creatively constructs a service maturity model for smart libraries. Combines the Delphi method with AHP to establish a service maturity evaluation system while calculating indicator weights. Uses a fuzzy comprehensive evaluation method to evaluate two representative smart libraries. Demonstrates that the smart library services maturity evaluation system holds significant theoretical and practical value.

Research on the Construction and Implementation Path of Curriculum Quality Evaluation System Under Blended Learning

Under the background of “Internet +” era, blended learning, as a new teaching method, has become one of the main ways of teaching at all levels of education. The current offline curriculum quality evaluation system based on summative evaluation is no longer applicable. Guided by the relevant requirements of the Ministry of Education, combined with the school-running orientation and characteristics of independent colleges, this paper constructs a combinative evaluation system of internal evaluation + external evaluation, formative evaluation + summative evaluation for course. It exams the effectiveness through 2-terms teaching experiments. This course quality evaluation system is an optimization and upgrade of the traditional offline course quality evaluation system. It aims to provide theoretical and practical reference for the construction of the course quality evaluation system under the new situation.

Immersive e-learning application in intelligent teaching of English composition based on neural network algorithm

Technical solutions for evaluating traditional English teaching composition and other problems, such as excessive subjectivity, waste of time, slow feedback, short scoring time, heavy tasks and so on. This paper first analyzes the theoretical basis of neural network algorithm, and completes the preprocessing of the composition text submitted by students from three aspects: text segmentation, text representation and text fragment retrieval. Then, an intelligent evaluation system of English composition is established, and the scoring standard of English composition is determined. On this basis, the design of English scoring module is improved, and an anti cheating module for common plagiarism problems in English composition is added. Finally, the English composition intelligent evaluation system is tested. It can effectively complete the target task, evaluate and correct the composition, and has a higher recognition success rate and accuracy rate. By studying the algorithm and applying it to the construction of English composition intelligent evaluation system, this paper successfully designs a kind of English composition intelligent evaluation system, which promotes the development of teaching work.

Research on the Evaluation System of Green Highway Construction

This paper studies the current situation of the development of green highways, analyzes the stages of the whole life cycle of green highways, and puts forward various evaluation indicators in the three stages of design, construction, operation and maintenance, which has certain reference value for the research of the evaluation system of green highways.

Construction of a Multimedia Instructional Effect Assessment System of College Foreign Language Translation Based on Artificial Intelligence

The teaching evaluation module is an important guarantee of teaching effectiveness, and as an important part of the multimedia teaching system, it needs special attention. This paper combines artificial intelligence and multimedia teaching effect evaluation, proposes a foreign language translation multimedia teaching effect evaluation model based on improved support vector machine (SVM) algorithm, and provides theoretical support for the construction of foreign language translation multimedia teaching effect evaluation system. The results show that the accuracy of this assessment algorithm is improved by 22.18% compared with the traditional assessment algorithm. Therefore, it is theoretically feasible to use the improved SVM to analyse the application effect of multimedia teaching mode in foreign language translation teaching. It can be found that the automatic acquisition of model data, the cumulative search of spatial knowledge and the adaptive control of the search phase of the optimised SVM algorithm have also been significantly improved, and conclusions drawn are more reliable.

Screening of Germplasm and Construction of Evaluation System for Autotoxicity Tolerance during Seed Germination in Cucumber

Due to the widespread use of intensive cropping patterns, the problem of continuous cropping obstacle, which is dominated by autotoxicity, has been becoming more and more prominent. Although many methods have been proposed to overcome the continuous cropping obstacle of cucumber, no study has reported the screening and evaluation of cucumber germplasm resistant to autotoxicity. In this study, 28 physiological indices related to the cucumber bud stage under cinnamic acid (CA) treatment were determined. In total, 45 cucumber cultivars were classified into three groups using principal component analysis and cluster analysis, and a model for evaluating cucumber resistance to autotoxicity was developed. The evaluation model was validated using autotoxicity-tolerant and non-autotoxicity-tolerant cultivars. The results showed that the growth of non-autotoxicity-tolerant cultivars was significantly inhibited compared to autotoxicity-tolerant cultivars. This indicated that the evaluation model of cucumber autotoxicity tolerance is reliable. The results of this study provide a valuable reference for the application of cucumber autotoxicity-tolerant germplasm resources and the development of autotoxicity-tolerant genes.