A Study on the Hierarchical Evaluation Model of Exercise Difficulty Ratio--Taking University Physics Micro Platform as an Example

• 1、School of Statistic and Mathematics,Zhejiang Gongshang University,Hangzhou China,310018
• 2、School of Information and Electronic Engineering,Zhejiang Gongshang University,Hangzhou China,310018
• 3、School of Finance and Accounting,Zhejiang Gongshang University,Hangzhou China,310018

Abstract：with the diversified development of education and learning methods, students carry out online learning and practice exercises online. Dividing the difficulty of exercises is an important topic. This not only affects the quality of students' learning, but also feedbacks on the quality of teachers' teaching. However, the difficulty of the preset exercise is often judged by the person making up the exercises. It is highly subjective, time-consuming, and lacks scientificity. Therefore, based on the networked learning platform, this paper obtains the student's exercise-related data, and uses cluster analysis and entropy method to divide the difficulty of the exercise and build a hierarchical evaluation model. Through the student's learning situation, the difficulty division and the difficulty ratio of the question bank are updated in real time. The study found that the difficulty of the exercise of the subjective judgments in the early stage is quite different from the results obtained after the actual analysis of the students' feedback on the problems. Therefore, it is important to scientifically evaluate the difficulty of the exercises and combine the actual situation of the students to do the problems and to update the problem database in real time.

Keywords： problem difficulty division cluster analysis entropy method hierarchical evaluation model