Construction of Red Agricultural Culture Digital Resource Base Based on Data Mining and Its Application in Art and Aesthetic Education

Abstract

With the continuous development of technologies such as big data and cloud computing, this paper utilizes data mining techniques to extract, analyze, clean, convert, filter, and integrate red agricultural cultural digital resources, storing the public metadata in a data warehouse. This study mainly focuses on students enrolled in the “Teach You a Trick” aesthetic education course offered by our institution. through a questionnaire survey to investigate the actual differences in digital resource needs among students of different genders, disciplines, and grades within the red agricultural cultural digital resource repository in the context of art and aesthetic education. The results show that 92.78% of students believe that accessing red agricultural culture digital resources is generally easy, fairly easy, or very easy. 62.7% of students believe that the proportion of their learning time spent using red agricultural culture digital resources is below 20% or between 21% and 40%, indicating that the usage time of red agricultural culture digital resources in the learning process needs to be improved.