Academic integrity is a complex problem that challenges how we view action, intentions, research, and knowledge production as human agents working with computers. This paper proposes that a productive approach to support AI is found at the nexus of behavioural ethics and a view of hybrid app-human agency. The proposal brings together AI research in behavioural ethics and Rest’s four stages of ethical decision-making which tracks the development of moral sensitivity, moral judgement, moral motivation and finally moral action combined with (...) insights taken from Actor-Network Theory. This framework, bluntly named the Academic Integrity Model, positions AI as an effect of an entangled hybrid of human-technology actors moving through distinct but related steps towards ultimately mobilising ethical learning behaviours. This model highlights the importance of developing socio-techno responsibility in students and suggests that approaches to address academic integrity performances such as contract cheating, collusion and plagiarism should include considerations of the complex nature of app-centric students. (shrink)

The global surge in academic misconduct during the COVID-19 pandemic, exacerbated by remote teaching and online assessment, necessitates a comprehensive understanding of the multidimensional aspects and stakeholders' perspectives associated with this issue. This paper addresses the prevalent use of answer-providing sites and other types of academic misconduct, underscoring the challenge of detecting all or most of the student misconduct. Exploring factors such as faculty inexperience in remote teaching and assessment, the paper advocates for proactive measures to preserve integrity in education. (...) Emphasizing the need for a culture of integrity beyond traditional classrooms, the paper reviews existing models, then details steps to create a framework using the International Labour Organization (ILO)’s TREE training method. It presents the IEPAR framework (Inspiration, Education, Pedagogical considerations, Assessment design, Response and Restorative practice), and assesses its effectiveness. Incorporating faculty feedback, the paper concludes with evidence-based findings, positioning the IEPAR framework as a robust approach for addressing academic misconduct and fostering a culture of academic integrity in higher education through responsible training of all stakeholders. (shrink)