论文标题
独特的考试：设计完整性和公平性评估
Unique Exams: Designing assessments for integrity and fairness
论文作者
论文摘要
在最近，前所未有的挑战中，教育工作者面临着有效的课程评估挑战。在代替典型的定时考试中，讲师现在必须重新考虑其评估课程级学习目标的方法。在这个新的在线开放式学习环境中，考试是否适当---甚至可行？在本经验论文中，我们讨论了独特的考试框架：我们维护考试完整性和学生隐私的框架。在R1大学的计算机科学家课程的可能性中，我们开发了自动化的独特考试，每个学生每个问题都有相同的四个问题骨骼，每个问题都有独特的数字变化。在不改变传统考试过程的情况下，独特的考试为学生和讲师提供了有关任何课堂环境的考试可靠性的安全性 - 面对面或在线。除了分享我们设计独特考试的经验外，我们还为其他教师可以适应自己的课程的不同CS主题提供了一个简单的端到端工具和示例问题模板。
Educators have faced new challenges in effective course assessment during the recent, unprecedented shift to remote online learning during the COVID-19 pandemic. In place of typical proctored, timed exams, instructors must now rethink their methodology for assessing course-level learning goals. Are exams appropriate---or even feasible---in this new online, open-internet learning environment? In this experience paper, we discuss the unique exams framework: our framework for upholding exam integrity and student privacy. In our Probability for Computer Scientists Course at an R1 University, we developed autogenerated, unique exams where each student had the same four problem skeletons with unique numeric variations per problem. Without changing the process of the traditional exam, unique exams provide a layer of security for both students and instructors about exam reliability for any classroom environment---in-person or online. In addition to sharing our experience designing unique exams, we also present a simple end-to-end tool and example question templates for different CS subjects that other instructors can adapt to their own courses.
