Using Content Coding and Automatic Item Generation to Improve Test Security

Author:

Gierl Mark J.,Shin Jinnie,Firoozi Tahereh,Lai Hollis

Abstract

Automatic item generation (AIG) is the process of using models to generate items using computer technology. AIG is a scalable content development method because it relies on the item model as the unit of analysis which means that it is more efficient and economical compared to traditional item development. But to use the generated items effectively, they must be managed properly. Managing a bank that could include millions of items results in problems related to identifying, organizing, and securing the content. As a result, the challenges inherent to managing item models and generated items warrant a shift in banking methodology where the management task must be accomplished using content coding at the model level. The purpose of our paper is to describe and illustrate methods that use content coding to organize and secure generated items in a bank.

Publisher

Frontiers Media SA

Subject

Education

Reference33 articles.

1. Providing computer-based testing for low-level students at a Russian university;Astanina;Proceedings of the The International Scientific Conference eLearning and Software for Education,2017

2. Effects of feedback elaboration and feedback timing during computer-based practice in mathematics problem solving.;Attali;Comput. Educ.,2017

3. Automatic detection of answer copying via kullback-leibler divergence and K-index.;Belov;Appl. Psychol. Meas.,2010

4. Effects of digital score reporting and feedback on students’ learning in higher education.;Bulut;Front. Educ.,2019

5. Taming the firehose: unsupervised machine learning for syntactic partitioning of large volumes of automatically generated items to assist automated test assembly.;Cole;J. Appl. Test. Technol.,2020

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3