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Project Details

Description

Breaching academic integrity in higher education assessments is a serious issue, and statistically, international students are more likely to be subject to academic integrity investigations. However, the rise of open-access generative artificial intelligence (AI) has altered the nature of such investigations in significant ways. First, widely used AI detection software, such as Turnitin, has led to numerous false accusations that negatively impact not only international students but academics who systematically reported and suspected coursework for unclear reasons, resulting in extraordinary time and resources to investigate and, in often cases, dismiss cases due to the lack of evidence. Second, the increasing presence of AI has led to disparities amongst students, especially in terms of its ethical or potential use in essay-based assessment. Together with student contributions, AIvsAI is a study that aims to capture a changing moment in the use of AI and its controversies that are likely to change the fabric of everyday teaching and learning in higher education.

Layman's description

What would teaching and learning be like in the coming age of AI? What would universities look like if educators were committed to supporting international students and putting their learning needs at the heart of a pedagogy? Through the case of AI and its challenges to academic integrity, we are invited, once again, to think about access, equity, and values in universities.
Alternative titleAI versus Academic Integrity
AcronymAIvsAI
StatusFinished
Effective start/end date28/06/2431/07/25

Research Groups and Themes

  • BILT
  • AI
  • teaching
  • assessment

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