The pervasive issue of cheating in educational tests has emerged as a paramount concern within the realm of education, prompting scholars to explore diverse methodologies for identifying potential transgressors. While machine learning models have been extensively investigated for this purpose, the untapped potential of TabNet, an intricate deep…

Examination dishonesty is a global problem that became particularly critical after the outbreak of the COVID-19 pandemic and the shift to remote learning. Academic research has often examined this phenomenon as only one aspect of a broader concept of academic dishonesty and as a one-dimensional construct. This article builds on existing knowledge…

Current approaches used by educational institutions to address the problem of student cheating are not working. This is because the discourse of academic integrity that currently dominates is, on its own, inadequate for addressing the problem. We propose that in order for higher education institutions to challenge cheating effectively, they need…

Research into "gaming the system" behavior in intelligent tutoring systems (ITS) has been around for almost two decades, and detection has been developed for many ITSs. Machine learning models can detect this behavior in both real-time and in historical data. However, intelligent tutoring system designs often change over time, in terms…

This research utilizes a unique, validated, multiple-choice exam design that allows researchers to observe and measure the degree to which students copy answers from their peers. Using data collected from the exam, this study investigates whether asking students to sign an honor code at the start of the exam reduced instances of cheating relative…

Student cheating is a growing concern in all aspects of higher education, particularly in technical programs such as information systems. Technology is also enabling student cheating. This paper utilizes existing literature and various behavioral theories, including incentive theory, the theory of planned behavior, social reciprocity theory,…

In high-stakes, large-scale, standardized tests with certain time limits, examinees are likely to engage in either one of the three types of behavior (e.g., van der Linden & Guo, 2008; Wang & Xu, 2015): solution behavior, rapid guessing behavior, and cheating behavior. Oftentimes examinees do not always solve all items due to various…

Public university business schools (PUBS) appear to struggle in upholding their educational self. Corporate scandals linked to business graduates raise questions about the role of PUBS in the development of civilized societies. This study develops an ethical decision making model in the PUBS context based on moral theories and then empirically…

This paper highlights the results of a study on the effects of student-faculty interaction on academic dishonesty; the results were used to develop an explanatory model showing how faculty's classroom demeanor and attitude can impact the likelihood of cheating. Individual, confidential interviews pertaining to student-faculty interaction and…

Text mining has been used for various purposes, such as document classification and extraction of domain-specific information from text. In this paper we present a study in which text mining methodology and algorithms were properly employed for academic dishonesty (cheating) detection and evaluation on open-ended college exams, based on document…

The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…

Today, in the era of open access to digital-based information and communication, one of the biggest challenges in higher education to realize moral education and to build academic culture and integrity is the emergence of academic dishonesty behaviors among academic members. The paper describes academic dishonesty behaviors in Distance Higher…

The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…

The second of a three-part series on academic integrity, this paper offers intervention strategies for evaluating the extent to which the ethos, policies, and programs used in responding to academic dishonesty are developmental. Presents framework consisting of seven components of intervention (honor codes, communication, training, faculty…

The ethics of cheating among dental students is considered, including why cheating is wrong, the commercial model of dentistry, the guild model of dentistry, and the more desirable interactive model focusing on the dentist-patient relationship. Cheating's effects on the teacher student relationship and the need to respond appropriately are…