A recent academic article titled “Use of artificial intelligence tools by doctoral students: a mixed-methods explanatory-sequential investigation” explores how PhD candidates are engaging with artificial intelligence (AI) tools during their research and study.
➡️ Read the full article:
🔗 https://www.tandfonline.com/doi/full/10.1080/0309877X.2025.2515135
🧠 What the Study Covers
- The research examines patterns of AI usage among doctoral students — including tools that support writing, data analysis, literature review, planning, and productivity.
- It uses a mixed-methods explanatory-sequential design, which typically combines quantitative surveys with qualitative follow-up interviews to deepen insights into how and why students use specific technologies.
- The findings highlight both benefits (e.g., efficiency, idea generation) and challenges (e.g., accuracy concerns, ethical considerations) associated with AI tool adoption in advanced academic work.
🧑🎓 Why It Matters
As AI tools become more powerful and accessible, understanding how they are used in higher education research helps universities, supervisors, and students shape policies and training around ethical, effective technology usage.
📄 About the Author & Journal
- Author: Muhammad Naveed Akbar
- Published in: Journal of Further and Higher Education (Taylor & Francis)
- Publication Date: June 5, 2025
- DOI: 10.1080/0309877X.2025.2515135
🔍 Reference (for academic use)
Akbar, Muhammad Naveed (2025). Use of artificial intelligence tools by doctoral students: a mixed-methods explanatory-sequential investigation, Journal of Further and Higher Education. https://doi.org/10.1080/0309877X.2025.2515135