Academic misconduct during medical school is common, with multifactorial causes, and can negatively impact the training and professional performance of future physicians. This study investigated factors linked to academic misconducts among medical students during their training. It is a transversal, quantitative, and analytical study that assessed…

Background: Instances of academic dishonesty are common in online learning environments because difficulties in their detection result in considerably low degrees of risks. However, if not identified, the noise introduced by dishonest learners in MOOCs' clickstream data could lead to biased results and conclusions in scientific research.…

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…

Thirty-six children (half 6-8 years old and half 10-12) in Northeast Brazil heard three hypothetical dilemmas featuring a choice between telling the truth and keeping a promise. Each dilemma was initiated by a different kind of lie: an exculpable pro-social lie (teasing), a lie in the personal domain (hiding) and a lie in the service of an…