摘要
梳理近年来自动化项目生成技术(AIG)的重要方法及其在教育与心理测评中的应用,主要分为以项目模型法和认知设计系统法为代表的内容驱动AIG,以及以语义分析法和深度学习法为代表的技术驱动AIG。未来研究可关注基于大数据的深度学习法以进一步优化AIG的模型化和算法化程度,探讨其应用于测评项目生成的信效度问题。
With the development of“Artificial Intelligence(AI)+Education”,online-testing and item bank technology have a wide application,and Automatic Item Generation(AIG)has also made great progress.This paper reviews the important progresses of AIG and applications of educational and psychological measurement in recent years,which can be divided into content-driven AIG represented by Item Model method and Cognitive Design System Approach,and technology-driven AIG represented by semantic analysis method and deep learning method.Future study can focus on algorithm optimization of deep learning AIG technology based on big data,and its verification of reliability and validity used in testing item generation.
作者
孙婷婷
杨涛
Sun Tingting;Yang Tao(Collaborative Innovation Center of Assessment toward Basic Education Quality,Beijing Normal University,Beijing,100875)
出处
《考试研究》
2022年第2期74-83,共10页
Examinations Research
关键词
自动化项目生成
项目模型
认知设计系统
自然语言处理
深度学习
Automatic Item Generation
Item Model
Cognitive Design System Approach
Natural Language Processing
Deep Learning
