Research on the Nurturing Role of College Students' Competitions Based on the Ability Portrait of Discipline Competitions--Taking K-means Clustering Algorithm as an Analyzing Tool

Abstract

In the context of the deepening national strategy of integrating education, science and technology with talents, academic competitions have become the core carrier of practical education in higher education. This paper proposes a concept of individual competence portrait of academic competitions and constructs a competence framework containing seven dimensions by synthesizing hierarchical analysis, principal component analysis and K-means clustering algorithm. Through descriptive statistics, Pearson correlation analysis and regression analysis, the positive associations between academic competitions and their related dimensions were initially revealed. The empirical analysis shows that the framework has good reliability and validity and can effectively identify students' ability characteristics. Discipline competitions have a significant positive effect (p<0.005) on learning and analyzing ability, evaluating and innovating ability, and comprehensive practice ability. And based on the results of the study, we propose countermeasures for academic competitions to promote college students' ability.