A Research Review

B. Ives, Alicia Nehrkorn
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引用次数: 4

Abstract

Research into academic integrity (AI) has a long history of extensive work to estimate the prevalence of and predictors for academic misconduct in higher education (HE). In addition, concern about the high prevalence of academic misconduct has justified a proliferation of recommendations for reducing academic misconduct. Scholars have lamented, however, the dearth of research investigating the effectiveness of interventions to prevent academic misconduct. This chapter reports on a review of 97 quantitative studies that investigated the effectiveness of interventions related to academic misconduct in HE. The evidence supports the effectiveness of text-matching software and honor code systems in reducing plagiarism and cheating, respectively. The effectiveness of proctoring examinations, providing instruction about plagiarism, and delivering instruction about AI are not supported by the evidence. Recommendations for future research are suggested.
研究综述
学术诚信研究(AI)在评估高等教育(HE)学术不端行为的普遍性和预测因素方面有着悠久的历史。此外,对学术不端行为普遍存在的担忧,也为减少学术不端行为的建议提供了理由。然而,学者们对调查干预措施预防学术不端行为的有效性感到遗憾。本章报告了对97项定量研究的回顾,这些研究调查了与高等教育学术不端行为相关的干预措施的有效性。这些证据分别支持了文本匹配软件和荣誉代码系统在减少剽窃和作弊方面的有效性。监考、提供关于抄袭的指导和提供关于人工智能的指导的有效性没有证据支持。并对今后的研究提出了建议。
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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