Utilizing Data on Academic Dishonesty at the University of New Mexico

Abstract

Academic integrity (AI) and academic dishonesty (AD) have been intensified areas of concern in higher education. This research study explored issues of students AD at the University of New Mexico (UNM). With the rise in academic dishonesty, this study was conducted with the intention of determining how AD can be deterred or discouraged. Students were asked questions regarding their previous cheating behavior, their future cheating behavior, and the reasons why they did or will cheat. The demographics of academic major (business, education, engineering, and social science), gender (male and female), or race (White and Hispanic) were studied to determine if they affect their AD. In addition, UNM, was compared to other Carnegie Very High and High Research (CHR) institutions and Hispanic Serving Institutions (HSI) to explore if these unique categories make a difference in the responses for the research questions. Based on the results of the study, recommendations were made for interventions to deter academic dishonesty. A model of Students\u27 Academic Experience (SAE) and Academic Dishonesty (AD) with Interventions (labeled the KAE model or \u27K Model\u27) is shown

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