Key findings from the study include:
- Generative AI tools are increasingly used in academic workflows, including literature review support, research brainstorming, and academic writing assistance.
- AI can improve research efficiency and idea generation, particularly for complex scholarly tasks such as synthesizing large bodies of literature.
- Ethical and academic integrity considerations remain critical, including transparency about AI use and maintaining original scholarly analysis.
- Doctoral education may benefit from AI literacy training, helping researchers understand both the capabilities and limitations of generative AI technologies.
- Institutions may need clearer policies and guidance to support responsible AI adoption in research and teaching.
