Students’ perceptions of ‘AI-giarism’:investigating changes in understandings of academic misconduct
How can students better understand academic integrity in the era of AI technology? Find out more from the latest study by Professor Cecilia Chan, which explores students’ perspectives on utilizing generative AI for research and study, as well as their understanding of traditional plagiarism and AI-plagiarism. This innovative research explores AI-giarism, an emerging type of academic dishonesty that combines AI and plagiarism in higher education. The study involved 393 undergraduate and postgraduate students’ perceptions from diverse disciplines about various AI-giarism scenarios. This research findings provide valuable insights for educators and policymakers to tackle AI-related academic misconduct effectively, innovating pedagogical design and assessment in an era of AI integration. Read the full article here:
https://link.springer.com/article/10.1007/s10639-024-13151-7
