计算机科学
渲染(计算机图形)
考试(生物学)
项目库
过程(计算)
项目反应理论
任务(项目管理)
项目分析
人工智能
机器学习
情报检索
心理测量学
程序设计语言
心理学
工程类
古生物学
生物
系统工程
临床心理学
作者
Mark J. Gierl,Hollis Lai
摘要
Changes to the design and development of our educational assessments are resulting in the unprecedented demand for a large and continuous supply of content‐specific test items. One way to address this growing demand is with automatic item generation (AIG). AIG is the process of using item models to generate test items with the aid of computer technology. The purpose of this module is to describe and illustrate a template‐based method for generating test items. We outline a three‐step approach where test development specialists first create an item model. An item model is like a mould or rendering that highlights the features in an assessment task that must be manipulated to produce new items. Next, the content used for item generation is identified and structured. Finally, features in the item model are systematically manipulated with computer‐based algorithms to generate new items. Using this template‐based approach, hundreds or even thousands of new items can be generated with a single item model.
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