QuEST: Revolutionizing Repository Cross-referencing to Transform Discovery of Teaching Materials

数字教育资源库的一个新兴活动是将资源与国家和州标准进行交叉引用。QuEST（质量评估评分技术）的目标是提供一个交叉引用支持系统，以极大地提高专家交叉引用者的工作效率，从而使更多的资源能够以更高的精度匹配。该机制使用在NSDL的链图中找到的信息进行特征和判别分析，以支持对特定链图基准的资源进行评分。QuEST提供了一个可以插入任何合作伙伴数字存储库的工作交叉引用支持系统。它正在将交叉参考任务从严格的概念匹配努力转变为对教育者来说重要的真正具有代表性的比较。通过提供一组经过更好过滤的资源，这些资源是根据教师使用的质量标记选择的，从而减轻了教师的负担。通过更快速有效地交叉参考有用的内容，教师能够找到并选择更合适的内容，从而帮助他们向学生提供高质量的教育，并获得更高的个人满意度。这也会提高存储库的利用率。QuEST还通过为其项目参与者（包括本科生和研究生、教师和图书管理员）提供学习环境来支持NSDL的使命。通过对QuEST的更大的评估和软件开发组件的接触，项目参与者获得了对整个数字存储库研究过程的更多理解。

An emerging activity of digital educational repositories is the cross-referencing of resources with national and state standards. The goal of QuEST (Quality Estimate Scoring Technique) is to provide a cross-referencing support system to greatly increase the productivity of the expert human cross-referencer so vastly more resources can be matched with higher accuracy. This mechanism uses information found in NSDL's Strand Maps for both characterization and discrimination analysis to support the scoring of a resource to a particular Strand Map benchmark. QuEST is providing a working cross-referencing support system that can be plugged into any partner digital repository. It is transforming the cross-referencing task from a strictly concept matching effort to a truly representative comparison of what is important to educators. This is reducing the burden on teachers by providing a better filtered set of resources that have been selected based on quality markers used by teachers.By cross-referencing useful content more quickly and effectively, teachers are able to find and select more appropriate content which in turn is helping them deliver high quality education to their students and achieve higher personal satisfaction. This is also leading to greater utilization of the repository. QuEST also supports the NSDL mission by functioning as a learning environment for its project participants, including undergraduate and graduate students, teachers, and librarians. Through their exposure to the larger evaluation and software development components of QuEST, project participants gain increased understanding of the overall digital repository research process.