独特的考试:设计诚信和公平的评估
Unique Exams: Designing assessments for integrity and fairness
摘要:
在COVID-19大流行期间,教育工作者在最近前所未有的远程在线学习转变中面临着有效课程评估的新挑战。代替典型的监考,定时考试,教师现在必须重新思考他们的方法来评估课程水平的学习目标。在这种新的在线、开放的互联网学习环境中,考试是否合适?在这篇经验论文中,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概率课程中,我们开发了自动生成的独特考试,每个学生都有相同的四个问题骨架,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教师提供了一层安全保障,确保了任何课堂环境下的考试可靠性--无论是现场还是在线。除了分享我们设计独特考试的经验外,我们还为不同的CS科目提供了一个简单的端到端工具和示例问题模板,其他教师可以根据自己的课程进行调整。
英文摘要:
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.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。