论文标题
使用螺旋代码和图像处理进行自动测验评估持续检查
Continuous Examination by Automatic Quiz Assessment Using Spiral Codes and Image Processing
论文作者
论文摘要
我们描述了在Halmstad University实施的技术解决方案，以自动化基于纸质测验考试结果的评估和报告。纸质测验负担得起，在教室中的校园教育范围内。接受和服用它们是被接受的，因为它们引起的可靠性和民主访问较少的问题，例如许多学生可以在没有信任的移动设备，互联网或电池的情况下将其带走。相比之下，测验的纠正是一个相当大的障碍。我们建议使用一种新颖的图像处理技术使用谐波螺旋式来缓解问题，该技术将子像素精度与答案表保持一致，以完全自动自动自动读取学生身份和答案，并在几分钟之内发送电子邮件结果。使用所描述的方法，我们在上述中心的两个主课程中定期进行每周考试，而没有大幅度增加工作量。所采用的解决方案还使我们能够为每个测验分配一个唯一的标识符（例如，第1周，第2周），同时允许我们为每个学生进行个性化测验。
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.
