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Results from two decades of five-yearly plagiarism surveys: new insights into prevalence, understanding, attitudes, knowing vs naïve plagiarism, and generative artificial intelligence (genAI)

Abstract Historical trends in plagiarism are often estimated by comparing survey results from a diverse range of samples, institutions, and measures. However, in multi-institution, multi-method comparisons, changes over time are difficult to separate from differences in methods and context. We asses...

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主要な著者: Guy J. Curtis, David C. Arness, Michael Baird, Chloe Price, Sheona Thomson, Kell Tremayne, Amanda W. White
フォーマット: Artigo
言語:Inglês
出版事項: BMC 2026-03-01
シリーズ:International Journal for Educational Integrity
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オンライン・アクセス:https://doi.org/10.1007/s40979-026-00215-z
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