Research on the Evaluation of College Students' Algorithmic Literacy based on Factor Analysis and Cluster Analysis

-- Taking Anhui Province as an Example

Abstract

This paper takes 16 prefectures and cities under Anhui Province as the research object, and constructs an index group that affects the level of algorithm literacy. First, based on the qualitative research on the quality level of algorithm literacy in Anhui Province, a combination model of the influencing factors of algorithm literacy level was established by factor analysis, and the comprehensive score of algorithm literacy was used as its representative index; secondly, the algorithm literacy level was established by cluster analysis method. To explore the development model of algorithm literacy in different regions. The final research results show that: in the combined model, the three factors of regional education comprehensive strength, per capita education level and material resource input have a greater impact on the algorithm literacy level of regional college students; in the classification model, Hefei City is the core of Anhui Province. In the city, the algorithm literacy level of its college students ranks first. Finally, research on the commonality of the two models is conducted to reasonably evaluate the algorithm literacy of college students in various cities in Anhui Province, and provide feasible suggestions for improving the algorithm literacy of college students in Anhui Province.