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学生对牙科教育中高风险电子评估的接受程度:使用隐私屏幕过滤器来控制作弊。

Student acceptability of high-stakes e-assessment in dental education: using privacy screen filters to control cheating.

机构信息

Department of Clinical and Diagnostic Sciences, 28 Floor, Tower Wing, Guy's Hospital, London SE1 9RT, UK;.

出版信息

J Dent Educ. 2014 Apr;78(4):558-66.

Abstract

Acceptability is a required quality for a sound assessment. For students, acceptability of a test is strongly influenced by perception of fairness. Computer-based assessment has been reported to be preferred by students provided that strict controls to prevent cheating are in place. This may be difficult to achieve as e-assessments are often taken in learning environments where computer screens are close together. In this study, 138 Year 5 dental students completed an e-assessment followed by an onscreen post-assessment questionnaire about the acceptability, fairness, and effectiveness of using privacy screen filters installed in front of their monitors to prevent cheating. Ninety-one percent of students in this study considered that taking a summative e-assessment with privacy screen filters was acceptable, 86 percent expressed the view that filters contributed to a fairer test, and 54 percent reported the filters made it easier or did not make any difference to read the screen. In addition, 60 percent gave positive comments and feedback, mainly focused on prevention of cheating. These findings suggest that privacy filters, originally developed for data protection in banks, medicine, and business, have potential in e-assessment in higher education. They provide an effective way of hampering cheating and improve student acceptability and confidence in the fairness of computer-delivered assessments.

摘要

可接受性是一项健全评估的必备质量。对于学生来说,对测试的可接受性受到公平感的强烈影响。据报道,只要严格控制作弊,计算机化评估就会受到学生的青睐。由于电子评估通常是在计算机屏幕彼此靠近的学习环境中进行的,因此这可能很难实现。在这项研究中,138 名五年级牙科学生完成了一项电子评估,然后在屏幕上对使用安装在他们显示器前的隐私屏幕过滤器来防止作弊的可接受性、公平性和有效性进行了评估。在这项研究中,91%的学生认为使用隐私屏幕过滤器进行总结性电子评估是可以接受的,86%的学生认为过滤器有助于考试更公平,54%的学生报告说过滤器使阅读屏幕变得更容易或没有任何区别。此外,60%的学生给予了积极的评价和反馈,主要集中在防止作弊上。这些发现表明,最初为银行、医学和商业的数据保护而开发的隐私过滤器在高等教育中的电子评估中有一定的潜力。它们提供了一种有效的干扰作弊的方法,并提高了学生对计算机交付评估的公平性的可接受性和信心。

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