Analysis and Research of Learning Data Based on ACM Programming Platform of Zhejiang Gongshang University

• 1、School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China
• 2、School of Information and Electronic Engineering, Zhejiang Gongshang University, Hangzhou 310018, China

Abstract：In recent years, the recognition of online education has been continuously improved in China, and intelligent education has been gradually popularized in campus learning. The online learning method of "Internet + education" is increasingly regarded by teachers and students as a new form of learning. At the same time, how to extract useful learning information from massive user records and how to evaluate the user learning process has become a matter of great concern. The Internet and data processing technology provide the possibility for the study of learning models, like accurate diagnosis of learning situation, the analysis of personalized learning scheme and the decision-making of intelligent learning scheme based on large data, etc. Therefore, this paper uses factor analysis and cluster analysis to analyze the learning data and summarizes three important factors that affect students' usual grades. Based on this, the calculation model of the usual and final grades is given, which makes the final grades of the students more objective and can reflect the students\' learning status on the course better.

Keywords： learning data factor analysis cluster analysis score calculation model