Factors associated with academic dishonesty in Peruvian engineering students

Academic dishonesty has become a general practice at school and university. What is more, it is, nowadays, on the rise due to virtual education. This is a problem that needs to be fought so as to avoid its probable transfer to professional performance. For this, additional research is needed to understand the causes of academic dishonesty, and develop methods promoting prevention. This study aims to explore this phenomenon through factors related to different social cognitive theory models, learning approaches and regulatory academic environment. With a sample of 186 university students from a private university in Lima, results show the existing relation between academic dishonesty and associated factors. Furthermore, it is shown the interaction effect among them. It was found that three important dimensions or vectors can be determined: Unethical Manipulation, Deep Learning and Regulatory Context.