Academic integrity is part of the process that explains the communication of information in an ethical manner. Although the prevalence of dishonest acts at university has been noted, it is an aim of the educational system to analyse what motivates them from an age prior to their incorporation into university studies. The aim of this work is to…

With the perceived increase in plagiarism in post-secondary institutions, there has been a simultaneous increase in research and analysis on the issue emerging from multiple fields including education, humanities, social science, business and management, sciences, and the media. The focus of this research ranges from the frequency of cases,…

Purpose: The answer-copying tendency has the potential to detect suspicious answer patterns for prior distributions of statistical detection techniques. The aim of this study is to develop a valid and reliable measurement tool as a scale in order to observe the tendency of university students' copying of answers. Also, it is aimed to provide…

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…

A popular hypothesis in evolutionary psychology posits that reciprocal altruism is supported by a cognitive module that helps cooperative individuals to detect and remember cheaters. Consistent with this hypothesis, a source memory advantage for faces of cheaters (better memory for the cheating context in which these faces were encountered) was…

Our ability to learn about the reputations of others--that is, who is likely to cooperate versus cheat--contributes greatly to cooperativeness in society. There has been recent debate whether humans employ memory bias favoring cheaters (i.e., there is an evolved module for the detection of cheaters) or whether no such bias exists (i.e., reputation…

Academic research and newspaper stories suggest that academic misconduct, including plagiarism, is on the increase. This apparent increase coupled with new internet enterprises selling "pass" papers and customized research are worrying trends. Academic misconduct is deeply harmful in a number of ways by devaluing awards, frustrating…

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…

Corruption in higher education is a newly emerging topic in the field of education research. There is a phenomenal growth in the number of media reports on corruption in higher education over the last decade. However, the rigorous systematic research on education corruption is virtually nonexistent. This paper considers corruption in higher…

The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…