Selecting the right methodology to use for detecting cheating in online exams requires considerable time and effort due to a wide variety of scholarly publications on academic dishonesty in online education. This article offers a cheating detection framework that can serve as a guideline for conducting cheating studies. The necessary theories and…

Computer technology and the Internet now make plagiarism an easier enterprise. As a result, faculty must be more diligent in their efforts to mitigate the practice of academic integrity, and institutions of higher education must provide the leadership and support to ensure the context for it. This study explored the use of a plagiarism detection…

Formal anonymous exit surveys were administered to 747 former cadets at the U.S. Air Force Academy from years 2002 to 2011. The cadet honor code specifically states, "We will not lie, steal or cheat, nor tolerate among us anyone who does." Nevertheless, survey results indicated there was a significant, measurable toleration of dishonesty…

Academic dishonesty is a significant problem among college students. Numerous factors affect levels of cheating. This study utilized an original survey on cheating and rationalization along with the Narcissistic Personality Inventory and multiple regression analysis to examine the relationships between rationalization, narcissism, and academic…

Using self-reported academic cheating from the classes of 1959 through 2002 at the three major United States military service academies (Air Force, Army, and Navy), we measure how peer cheating influences individual cheating behavior. We find higher levels of peer cheating result in a substantially increased probability that an individual will…

Academic dishonesty (cheating) has been prevalent on college campuses for decades, and the percentage of students reporting cheating varies by college major. This study, based on a survey of 643 undergraduate engineering majors at 11 institutions, used two parallel hierarchical multiple regression analyses to predict the frequency of cheating on…