We describe a technical solution implemented at Halmstad University to automatise assessment and reporting of results of paper-based quiz exams. Paper quizzes are affordable and within reach of campus education in classrooms. Offering and taking them is accepted as they cause fewer issues with reliability and democratic access, e.g. a large number of students can take them without a trusted mobile device, internet, or battery. By contrast, correction of the quiz is a considerable obstacle. We suggest mitigating the issue by a novel image processing technique using harmonic spirals that aligns answer sheets in sub-pixel accuracy to read student identity and answers and to email results within minutes, all fully automatically. Using the described method, we carry out regular weekly examinations in two master courses at the mentioned centre without a significant workload increase. The employed solution also enables us to assign a unique identifier to each quiz (e.g. week 1, week 2. . . ) while allowing us to have an individualised quiz for each student.
翻译：我们描述在哈尔姆斯塔德大学实施的对纸质测验结果进行自动评估和报告的技术解决方案。纸质测验是负担得起的,在教室的校园教育范围内是可负担的。接受和接受这些测验是因为它们在可靠和民主的准入方面造成较少的问题,例如,大量学生可以在没有可信赖的移动设备、互联网或电池的情况下接受这些测验。相反,纠正测验是一个相当大的障碍。我们建议通过一种新颖的图像处理技术来缓解这个问题,即使用调和子像素精确度回答表的口音螺旋,以读取学生身份和答案,并在几分钟内完全自动地读取电子邮件结果。我们使用所述方法,在所述中心每周在两个硕士课程中进行定期考试,而没有显著增加工作量。所采用的解决办法还使我们能够为每个测验指定一个独特的识别器(例如第1周,第2周......),同时允许我们为每个学生安排一个个别的测验。
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