Establish a formative evaluation index system of college english teachers' online teaching ability based on AHP

Author(s):  
Niu Guixia
Author(s):  
Jing Peng

Despite the development of intelligent technology, there are many problems in the improvement of teaching ability of professional courses in art design, namely, the impact from multiple factors, the imperfectness of the evaluation index system, and the lack of quantitative analysis. To solve the problems, this paper probes deep into the connotations and influencing factors of the teaching ability of the said courses in the context of intelligent technology. Through theoretical analysis, several strategies were presented to improve the teaching ability of the said courses. To effectively evaluate the ability, the authors set up a robust evaluation index system from multiple angles, and provided a quantitative analysis model. The research results provide a good reference for art design teachers to improve their teaching ability.


2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Hongliang Wu ◽  
Daoxin Peng ◽  
Ling Wang

Effectiveness evaluations are one of the important ways to guide grid investment and to improve investment efficiency. Improving the effectiveness of grid investment evaluations is studied based on the optimization of the investment evaluation index system and the utility evaluation model. The index system is optimized by establishing an evaluation index system of grid investment effectiveness, considering the redundancy between the indices, and constructing an ISM-DEA model. The utility function model was introduced to fully consider the different risk appetites of decision-makers, and a utility evaluation model that takes risk appetite into account was established. An improved weight integration model based on multiobjective optimization was established by considering the minimum deviation and the trend-optimal objective function when setting the index weights. The calculation results show that the feasibility of the index system optimization model and utility evaluation model constructed in this study is verified under the premise of satisfying the assumptions. By adjusting the risk preference coefficient of decision-makers, the dynamic optimization of the grid investment utility evaluation results can be realized.


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