Question Difficulty Priori Evaluation Based on Fuzzy Logic in Programming System

Abstract

With the increasing number of online programming systems, how to efficiently and accurately assess the difficulty of programming questions is a classic problem in the field of computer education. Therefore, we propose a question difficulty priori evaluation method based on fuzzy logic in this paper. The proposed method considers the lines of code, variables and knowledge points in the answer of question, and uses fuzzy membership functions and fuzzy rules to evaluate the difficulty of questions. It solves the problems of subjective experience and low flexibility of traditional question difficulty evaluation methods. The experimental results show that the proposed method is effective and can obtain more accurate programming question difficulty.