A systemic model of academic (mis)conduct to curb cheating in higher education.

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Title: A systemic model of academic (mis)conduct to curb cheating in higher education.
Authors: Allen, Scott E.1 Sea98@cornell.edu, Kizilcec, René F.2
Source: Higher Education (00181560). May2024, Vol. 87 Issue 5, p1529-1549. 21p.
Subject Terms: *Student cheating, *Higher education, *Educational change, *Conflict management, Technological innovations
Abstract: Scientific and technological advancements over the last three decades have failed to reduce the widespread prevalence of academic dishonesty in higher education, in large part because institutional barriers prevent faculty from adopting existing tools to curb cheating. We conducted a systematic literature review of research on cheating and found that the majority of studies propose new tools without advancing theory or even utilizing existing theory. Although some studies note the systemic nature of academic misconduct, the academic integrity literature requires a robust theoretical framework to model its systemic nature and derive practical strategies. Building on theory from several domains, we propose a systemic model of academic (mis)conduct which predicts group-level effects on students and offers practical guidance for faculty overcoming institutional barriers to curb cheating. We leverage game theory for useful models of systemic, group-level phenomena in this context, and we leverage education reform literature for insights on how to support instructors' adoption of new tools. Our model, the spectrum of academic conduct, identifies trust as a single dimension governing both cheating behaviors and productive learning behaviors. Integrating insights from pedagogy, conflict management, and organizational psychology, we discuss multiple practical strategies to lower students' opportunity, motivation, and rationalization to cheat. [ABSTRACT FROM AUTHOR]
Copyright of Higher Education (00181560) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="JN" term="%22Higher+Education+%2800181560%29%22">Higher Education (00181560)</searchLink>. May2024, Vol. 87 Issue 5, p1529-1549. 21p.
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  Data: *<searchLink fieldCode="DE" term="%22Student+cheating%22">Student cheating</searchLink><br />*<searchLink fieldCode="DE" term="%22Higher+education%22">Higher education</searchLink><br />*<searchLink fieldCode="DE" term="%22Educational+change%22">Educational change</searchLink><br />*<searchLink fieldCode="DE" term="%22Conflict+management%22">Conflict management</searchLink><br /><searchLink fieldCode="DE" term="%22Technological+innovations%22">Technological innovations</searchLink>
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  Data: Scientific and technological advancements over the last three decades have failed to reduce the widespread prevalence of academic dishonesty in higher education, in large part because institutional barriers prevent faculty from adopting existing tools to curb cheating. We conducted a systematic literature review of research on cheating and found that the majority of studies propose new tools without advancing theory or even utilizing existing theory. Although some studies note the systemic nature of academic misconduct, the academic integrity literature requires a robust theoretical framework to model its systemic nature and derive practical strategies. Building on theory from several domains, we propose a systemic model of academic (mis)conduct which predicts group-level effects on students and offers practical guidance for faculty overcoming institutional barriers to curb cheating. We leverage game theory for useful models of systemic, group-level phenomena in this context, and we leverage education reform literature for insights on how to support instructors' adoption of new tools. Our model, the spectrum of academic conduct, identifies trust as a single dimension governing both cheating behaviors and productive learning behaviors. Integrating insights from pedagogy, conflict management, and organizational psychology, we discuss multiple practical strategies to lower students' opportunity, motivation, and rationalization to cheat. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Higher Education (00181560) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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