2019
DOI: 10.1016/j.compedu.2018.05.012
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Predictors of Academic Dishonesty among undergraduate students in online and face-to-face courses

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Cited by 97 publications
(94 citation statements)
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“…For example, Lanier (2006) analyzed 1,234 self-reported cheaters in traditional and online courses and found that males are more likely to cheat online and that older students, married students, graduate students and students with a higher GPA are less likely to self-report cheating in their online courses. Similarly, Miller and Young-Jones (2012), Kidwell and Kent (2008), and Peled et al (2019) found that older students are less likely to cheat but in www.ejel.org 480 ©ACPIL contrast to Lanier (2006), these authors observed no significant difference in cheating levels based on gender.…”
Section: The Individual Factors That Contribute To Cheating Behaviorsmentioning
confidence: 92%
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“…For example, Lanier (2006) analyzed 1,234 self-reported cheaters in traditional and online courses and found that males are more likely to cheat online and that older students, married students, graduate students and students with a higher GPA are less likely to self-report cheating in their online courses. Similarly, Miller and Young-Jones (2012), Kidwell and Kent (2008), and Peled et al (2019) found that older students are less likely to cheat but in www.ejel.org 480 ©ACPIL contrast to Lanier (2006), these authors observed no significant difference in cheating levels based on gender.…”
Section: The Individual Factors That Contribute To Cheating Behaviorsmentioning
confidence: 92%
“…Interestingly, and in contrast to most studies, Watson and Sottile (2010) surveyed 635 online and face-to-face undergraduate and graduate students and found that more females (37.8 percent) self-report cheating in online courses compared to males (20.8 percent). Finally, Peled et al (2019) also analyzed the relationship between cheating, personality traits, and motivation and found that conscientiousness, agreeableness, intrinsic and external motivation and emotional stability are all predictors of lower levels of academic dishonesty online. Additionally, the authors noted that "online courses are not a predominant factor in the prediction of misbehavior.…”
Section: The Individual Factors That Contribute To Cheating Behaviorsmentioning
confidence: 99%
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“…As for students’ motives for studying, cheating has been found to be positively associated with controlled motives, such as studying to get a well-paid job (Murdock et al, 2001; Davy et al, 2007), to gain social approval (Pulfrey and Butera, 2013), or to earn a material incentive (Anderman et al, 1998). In contrast, autonomous forms of study motivation have been shown to relate negatively to cheating (Schraw et al, 2007; Vansteenkiste et al, 2009; Orosz et al, 2013; Peled et al, 2019).…”
Section: Introductionmentioning
confidence: 95%
“…Исследованию проблемы академического мошенничества студентов посвящено значительное число работ, в них изучается масштаб данного явления [12][13][14][15], а также факторы, связанные с его распространенностью [1, [16][17][18]. При этом авторы многих работ фокусируются не только на изучении актуального состояния этой проблемы, но и на мерах борьбы с ней.…”
Section: масштабы и факторы академического мошенничества и меры по ихunclassified