scholarly journals Research on Art Design Courses Score Evaluation Model

Author(s):  
Ying Wang ◽  
Hongwei Xiao
2021 ◽  
pp. 1-10
Author(s):  
Zuomei Xu

This paper first introduces the relevant content of fuzzy theory system and expounds the relevant knowledge of fuzzy comprehensive evaluation in fuzzy theory. In this paper, an evaluation system for the teaching of environmental art design specialty based on the integration of production, teaching and research is established to provide scientific basis for the exploration and control of the teaching mode, and a fuzzy comprehensive evaluation model is established on the basis of the index system. Through the methods of literature retrieval, real data analysis and expert interview, 14 factors influencing the level of classroom teaching were collected, and questionnaires were distributed to teachers to collect the factor weight data, and these data were sorted out and calculated to obtain the weight indicators at all levels. Through the collection of online teaching evaluation data, the fuzzy evaluation matrix of each level index is calculated, and the matrix is combined with the corresponding weight vector to establish the fuzzy comprehensive evaluation model. Finally, the teaching evaluation results of the integrated mode of production, teaching and research are as follows: 74.8% are excellent, 12.6% are good, 7.1% are medium, and only 5.5% are poor. Through the above results, it can be concluded that the teaching effect of the integration mode of production, teaching and research is excellent.


2019 ◽  
Vol 4 (5) ◽  
pp. 971-976
Author(s):  
Imran Musaji ◽  
Trisha Self ◽  
Karissa Marble-Flint ◽  
Ashwini Kanade

Purpose The purpose of this article was to propose the use of a translational model as a tool for identifying limitations of current interprofessional education (IPE) research. Translational models allow researchers to clearly define next-step research needed to translate IPE to interprofessional practice (IPP). Method Key principles, goals, and limitations of current IPE research are reviewed. A popular IPE evaluation model is examined through the lens of implementation research. The authors propose a new translational model that more clearly illustrates translational gaps that can be used to direct future research. Next steps for translating IPE to IPP are discussed. Conclusion Comprehensive reviews of the literature show that the implementation strategies adopted to date have fostered improved buy-in from key stakeholders, as evidenced by improved attitudes and perceptions toward interprofessional collaboration/practice. However, there is little evidence regarding successful implementation outcomes, such as changed clinician behaviors, changed organizational practices, or improved patient outcomes. The authors propose the use of an IPE to IPP translational model to facilitate clear identification of research gaps and to better identify future research targets.


2020 ◽  
Vol 64 (1-4) ◽  
pp. 1365-1372
Author(s):  
Xiaohui Mao ◽  
Liping Fei ◽  
Xianping Shang ◽  
Jie Chen ◽  
Zhihao Zhao

The measurement performance of road vehicle automatic weighing instrument installed on highways is directly related to the safety of roads and bridges. The fuzzy number indicates that the uncertain quantization problem has obvious advantages. By analyzing the factors affecting the metrological performance of the road vehicle automatic weighing instrument, combined with the fuzzy mathematics theory, the weight evaluation model of the dynamic performance evaluation of the road vehicle automatic weighing instrument is proposed. The factors of measurement performance are summarized and calculated, and the comprehensive evaluation standard of the metering performance of the weighing equipment is obtained, so as to realize the quantifiable analysis and evaluation of the metering performance of the dynamic road vehicle automatic weighing instrument in use, and provide data reference for adopting a more scientific measurement supervision method.


TAPPI Journal ◽  
2010 ◽  
Vol 9 (6) ◽  
pp. 34-39
Author(s):  
AIYU QU ◽  
YANHUI AO ◽  
JUN YAN ◽  
GUIGAN FANG

To develop new wood cellulose resources and fast-growing pulpwood plantation fiber sources, it is very important to evaluate their pulping properties. A comprehensive multi-index pulping-suitability evaluation model is investigated in this paper by considering four fast-growing wood species. First, a new evaluation-index system for kraft pulp was developed based on traditional evaluation-index systems. Then, the membership degree of every index was analyzed to obtain a fuzzy matrix. The proportional contribution of each parameter to the main pulping properties could then be determined. Finally, a comprehensive evaluation model of kraft pulp properties was developed. The model is reliable compared with traditional assessment methods. The results confirmed the feasibility and rationality of developing new wood cellulose resources and fast-growing pulpwood plantations using fuzzy comprehensive evaluations.


2018 ◽  
pp. 172-182 ◽  
Author(s):  
Shengmin CAO

This paper mainly studies the application of intelligent lighting control system in different sports events in large sports competition venues. We take the Xiantao Stadium, a large­scale sports competition venue in Zaozhuang City, Shandong Province as an example, to study its intelligent lighting control system. In this paper, the PID (proportion – integral – derivative) incremental control model and the Karatsuba multiplication model are used, and the intelligent lighting control system is designed and implemented by multi­level fuzzy comprehensive evaluation model. Finally, the paper evaluates the actual effect of the intelligent lighting control system. The research shows that the intelligent lighting control system designed in this paper can accurately control the lighting of different sports in large stadiums. The research in this paper has important practical significance for the planning and design of large­scale sports competition venues.


2020 ◽  
Vol 7 (1) ◽  
pp. 72-83
Author(s):  
Alevtina Yu. Shatalova ◽  
◽  
Igor V. Shevchenko ◽  
Boureima Bamadio ◽  
Konstantin A. Lebedev ◽  
...  

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