吉首大学学报（自然科学版）2026，Vol.47Issue(4)：29-34,42,7.DOI:10.13438/j.cnki.jdzk.2026.04.005
基于用户基础行为数据的题目难度动态评估模型
Dynamic Evaluation Model of Question Difficulty Based on User Behavioral Data
摘要
Abstract
To address the issue of inaccurate matching question difficulty to user abilities in online assess-ments,a dynamic question difficulty evaluation model based on user behavioral data was constructed.The evaluation model relies on a two-parameter logistic model and maximum likelihood estimation to obtain user ability parameters,introduces a response efficiency factor to describe differences in the response process,constructs a weighted average of user comprehensive abilities,and,based on a unified range of comprehensive abilities and global question difficulty values,utilizes the probability function calculation theory of the two-parameter logistic model to obtain the question difficulty level through probability,thus achieving dynamic estimation of question difficulty.Comparative experiment results show that the question difficulty level estimated by the constructed evaluation model is consistent with the actual ques-tion difficulty level.Ablation experiments show that after introducing the response efficiency factor,the absolute error of the evaluation model is significantly reduced,and the overall evaluation performance is significantly improved.关键词
在线测评/综合能力/题目难度/用户基础行为数据/评估模型Key words
online assessment/comprehensive abilities/question difficulty/basic user behavior data/evalu-ation model分类
信息技术与安全科学引用本文复制引用
王楠,唐润奇,夏瑗媛,何迎生..基于用户基础行为数据的题目难度动态评估模型[J].吉首大学学报（自然科学版）,2026,47(4):29-34,42,7.基金项目
湖南省大学生创新训练计划项目(S202410531009) （S202410531009）
