This study investigates the efficacy of six major Generative AI (GenAI) text detectors when confronted with machine-generated content modified to evade detection (n = 805). We compare these detectors to assess their reliability in identifying AI-generated text in educational settings, where they are increasingly used to address academic integrity…

Various factors such as regulatory body mandates, graduate employability challenges, decreasing student engagement and increasing academic misconduct in higher education have motivated universities to explore alternative approaches to teach and assess. Accordingly, the oral assessment has taken precedence in many contexts as a popular form of…