Postgraduate Supervision in a ChatGPT World: What’s Next?

Abstract

This study explores the considerable challenges for research supervisors of postgraduate students in Higher Education. For experienced academics, the responsibility of assessing theses and dissertations has never been more critical. With the advent of ample search engine opportunities, Generative Artificial Intelligence (GenAI) technology, and adhering to proper academic integrity processes, how can supervisors navigate these complexities, unsupported by solid procedures, due to the rapidly changing nature of AI? If a supervisor is concerned as to the integrity of the presented work during the supervisory process, what options are available to the supervisor to address concerns with the student in an informed and protected way? This work draws from theoretical perspectives, discussions with research supervisors, including early career supervisors, collegial deliberations, and considerations. This paper will explore what research supervision is and the challenges associated therein. Recommendations for best practice will be presented for discussion during the proceedings.

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