Abstract
The integration of Generative AI (GenAI) in higher education has been explored at undergraduate and master’s levels, but its impact on doctoral education remains underexamined. This research-in-progress outlines a research agenda to investigate how PhD students and supervisors engage with GenAI, particularly in the context of supervision practices and institutional expectations, to enhance research productivity while upholding ethical and pedagogical standards. It proposes a symbiotic intelligence framework where human reasoning and GenAI capabilities complement each other. This paper reviews existing literature, presents a theoretical foundation, and sets the stage for empirical investigation. It aims to reimagine doctoral education, redefine success metrics, and promote reflective habits and responsible AI engagement.
Recommended Citation
Soleimani, Melika; Weerasinghe, Kasuni; Mirzaei, Maryam; and Pauleen, David J., "RETHINKING DOCTORAL RESEARCH AND SUPERVISION IN THE GENERATIVE AI ERA: A RESEARCH AGENDA FOR BUSINESS SCHOOLS" (2025). CONF-IRM 2025 Proceedings. 8.
https://aisel.aisnet.org/confirm2025/8