在基于模板的自动物品生成开发过程中尽量减少错误的工作流程

IF 2.7 4区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH
Yanyan Fu
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引用次数: 0

摘要

与传统的项目开发方法相比,基于模板的自动项目生成(TAIG)方法涉及模板创建、项目生成、项目选择、现场测试和评估等多个步骤。因此,在这一过程中出错的余地更大,而且任何模板错误都会连带影响到生成的项目。因此,必须消除错误源,确保模板的质量,从而使项目不出现问题。文章介绍了在模板开发早期阶段减少模板错误、最大限度地减少模板错误对生成项目的影响以及提高生成项目存活率的过程。文章还讨论了一种统计方法,通过系统地检查生成项目的质量来建立对模板质量的信心。所提出的方法可以减少由模板生成的某些项目的审查过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Workflow for Minimizing Errors in Template-Based Automated Item-Generation Development

The template-based automated item-generation (TAIG) approach that involves template creation, item generation, item selection, field-testing, and evaluation has more steps than the traditional item development method. Consequentially, there is more margin for error in this process, and any template errors can be cascaded to the generated items. Therefore, it is essential to eliminate the source of errors and ensure the quality of the template so items can be problem-free. The article introduces a process to reduce template errors at the early stage of template development, minimize the impact of template errors on generated items, and increase the survival rates of generated items. The article also discusses a statistical method to establish confidence in the quality of the template by systematically examining the quality of the generated items. The proposed method can reduce the review process for some items generated from a template.

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来源期刊
CiteScore
3.90
自引率
15.00%
发文量
47
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