Analyzing the Group Characteristics and Trends of Aesthetic Ability Development of Elementary School Students Using Clustering Algorithm

Abstract

This study explores the group characteristics and trends in the development of aesthetic ability among elementary school students through the utilization of a clustering algorithm. Aesthetic ability encompasses various aspects of creativity, expression, and appreciation of art and beauty, which are integral to a well-rounded education. The research employs a quantitative approach, utilizing data collected from elementary school students to identify clusters or groups based on their aesthetic abilities. By applying clustering algorithms, such as k-means or hierarchical clustering, the study aims to uncover patterns and trends within the student population regarding their aesthetic development. The findings of this research provide valuable insights into the diverse profiles of students with different levels and types of aesthetic abilities, thereby informing educators and policymakers about effective strategies for nurturing and enhancing aesthetic skills in elementary education settings. Ultimately, this study contributes to a deeper understanding of the factors influencing aesthetic development in young learners and offers practical implications for optimizing educational practices to foster creativity and appreciation of the arts in elementary school curricula.