scholarly journals Research on Evaluation Model of College Students’ Mathematical Modeling Ability Based on Hierarchical Clustering Method

2020 ◽  
Vol 1453 ◽  
pp. 012150
Author(s):  
Yuanhua Qi
Author(s):  
Qiying Yan ◽  
Zheqian Su

In this study, the questionnaire survey, diversified classroom teaching, and multivariate evaluation are carried out on college students of non-English majors based on the Roche multiway tree clustering method. The SPSS statistical software is used for statistical analysis. The results show that Roche multiway tree cluster distribution of non-English major college students is at a medium level. There is no significant correlation between the comprehensive English performance and the overall Roche multiway tree clustering, and there is a low positive correlation between Roche multiway tree clustering and English listening. Studies have suggested that in comprehensive English classroom teaching, teachers should pay attention to the weak intelligence of students, teach students according to their intelligence difference, build a diversified classroom teaching evaluation model, and promote the all-round development of student intelligence.


Author(s):  
Ana Belén Ramos-Guajardo

AbstractA new clustering method for random intervals that are measured in the same units over the same group of individuals is provided. It takes into account the similarity degree between the expected values of the random intervals that can be analyzed by means of a two-sample similarity bootstrap test. Thus, the expectations of each pair of random intervals are compared through that test and a p-value matrix is finally obtained. The suggested clustering algorithm considers such a matrix where each p-value can be seen at the same time as a kind of similarity between the random intervals. The algorithm is iterative and includes an objective stopping criterion that leads to statistically similar clusters that are different from each other. Some simulations to show the empirical performance of the proposal are developed and the approach is applied to two real-life situations.


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