Corruption is a serious problem in Mexico and the available information regarding the levels of academic dishonesty in Mexico is not very encouraging. Academic integrity is essential in any teaching-learning process focussed on achieving the highest standards of excellence and learning. Promoting and experiencing academic integrity within the university context has a twofold purpose: to achieve the necessary learnings and skills to appropriately perform a specific profession and to develop an ethical perspective which leads to correct decision making. The objective of this study is to explore the relationship between academic integrity and ethical behaviour, particularly workplace behaviour. The study adopts a quantitative, hypothetical and deductive approach. A questionnaire was applied to 1203 college students to gather information regarding the frequency in which they undertake acts of dishonesty in different environments and in regards to the severity they assign to each type of infraction. The results reflect that students who report committing acts against academic integrity also report being involved in dishonest activities in other contexts, and that students who consider academic breaches less serious, report being engaged in academic misconduct more frequently in different contexts. In view of these results, it is unavoidable to reflect on the role that educational institutions and businesses can adopt in the development of programmes to promote a culture of academic integrity which: design educational experiences to foster learning, better prepare students to fully meet their academic obligations, highlight the benefits of doing so, prevent the severity and consequences of dishonest actions, discourage cheating and establish clear and efficient processes to sanction those students who are found responsible for academic breaches.

There is a general belief that software must be able to easily do things that humans find difficult. Since finding sources for plagiarism in a text is not an easy task, there is a widespread expectation that it must be simple for software to determine if a text is plagiarized or not. Software cannot determine plagiarism, but it can work as a support tool for identifying some text similarity that may constitute plagiarism. But how well do the various systems work? This paper reports on a collaborative test of 15 web-based text-matching systems that can be used when plagiarism is suspected. It was conducted by researchers from seven countries using test material in eight different languages, evaluating the effectiveness of the systems on single-source and multi-source documents. A usability examination was also performed. The sobering results show that although some systems can indeed help identify some plagiarized content, they clearly do not find all plagiarism and at times also identify nonplagiarized material as problematic.

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