  This paper reports on qualitative content analysis undertaken using ChatGPT,
a Large Language Model (LLM), to identify primary research themes in current
academic integrity research as well as the methodologies used to explore these
areas. The analysis by the LLM identified 7 research themes and 13 key areas
for exploration. The outcomes from the analysis suggest that much contemporary
research in the academic integrity field is guided by technology. Technology is
often explored as potential way of preventing academic misconduct, but this
could also be a limiting factor when aiming to promote a culture of academic
integrity. The findings underscore that LLM led research may be option in the
academic integrity field, but that there is also a need for continued
traditional research. The findings also indicate that researchers and
educational providers should continue to develop policy and operational
frameworks for academic integrity. This will help to ensure that academic
standards are maintained across the wide range of settings that are present in
modern education.
