Interpreting aberrant testing events in remote assessments: Innocuous or malicious?

IF 13.2 1区 教育学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Computers & Education Pub Date : 2027-02-01 Epub Date: 2026-10-13 DOI:10.1016/j.compedu.2026.105765
William Belzak, Yigal Attali, Basim Baig, Rose Hastings, Connor Brem, Liberty Munson, John Kleeman
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引用次数: 0

Abstract

Remote assessments are increasingly used in education and professional certification because of their accessibility and convenience. However, ensuring test security in these environments presents significant challenges, particularly in distinguishing between innocuous activity and more malicious behaviors. To address this, we introduce the Continuum of Deception (COD) framework, which ranks aberrant testing events along three dimensions: malicious intent, risk to score integrity, and verifiability. This framework guides empirical investigations across three complementary studies using data from a high-stakes remote assessment of English language proficiency. Study 1 examines expert rankings of aberrant events and finds strong agreement on malicious intent and risk but less agreement on verifiability. Study 2 analyzes score changes among repeat test takers and finds that some flagged events, particularly speaking-related ones, are associated with large score gains. Study 3 evaluates proctoring agreement and finds that events detected with machine or AI assistance, such as plagiarism, are identified more consistently than events based on human observation alone, such as looking away excessively. We use these findings to develop a four-tier system of consequences for test takers, based on the severity of an event and how reliably it can be verified. By integrating theoretical and empirical insights, this research provides a structured approach to balancing test integrity with fairness in remote assessments.
远程评估中异常测试事件的解释:无害还是恶意?
远程评估因其可及性和便利性越来越多地用于教育和专业认证。然而,在这些环境中确保测试安全性提出了重大挑战,特别是在区分无害活动和更恶意的行为方面。为了解决这个问题,我们引入了欺骗连续体(COD)框架,它沿着三个维度对异常测试事件进行排名:恶意意图、评分完整性风险和可验证性。该框架指导了三个互补研究的实证调查,这些研究使用的数据来自对英语语言能力的高风险远程评估。研究1检查了异常事件的专家排名,并发现对恶意意图和风险的强烈一致,但对可验证性的一致较少。研究2分析了重复参加考试的人的分数变化,发现一些被标记的事件,特别是与口语相关的事件,与高分有关。研究3评估了监督协议,发现通过机器或人工智能辅助检测到的事件(如抄袭)比仅基于人类观察(如过度转移视线)的事件识别得更一致。我们利用这些发现,根据事件的严重程度及其验证的可靠性,为考生制定了一个四层后果体系。通过整合理论和经验见解,本研究提供了一种结构化的方法来平衡远程评估中的测试完整性和公平性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computers & Education
Computers & Education 工程技术-计算机:跨学科应用
CiteScore
27.10
自引率
5.80%
发文量
204
审稿时长
42 days
期刊介绍: Computers & Education seeks to advance understanding of how digital technology can improve education by publishing high-quality research that expands both theory and practice. The journal welcomes research papers exploring the pedagogical applications of digital technology, with a focus broad enough to appeal to the wider education community.
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