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Research domain
Doctoral Training
The Doctoral Training domain comprises 928 papers in this corpus published between 2002 and 2026. Work here is dominated by Mixed Methods, Conceptual, Literature Review.
Methodology profile
- Mixed Methods133 (14%)
- Conceptual130 (14%)
- Literature Review120 (13%)
- Survey93 (10%)
- Case Study90 (10%)
- Qualitative81 (9%)
Themes covered
- AI Literacy Training719 (77%)
- Responsible AI Use91 (10%)
- AI-Assisted Discovery61 (7%)
- Productivity Effects24 (3%)
- Evaluation & Benchmarks7 (1%)
- AI Manuscript Writing4 (0%)
Frequent sub-topics
educational innovation and human-AI collaboration learning design · 1AI-friendly assignment design for undergraduate education · 1experiential learning with visual AI tools, business student AI education · 1student GenAI use patterns and mindfulness · 1generative AI literacy development in higher education · 1student motivation and psychological need satisfaction with AI learning partners · 1Generative AI for course material navigation and information seeking · 1student experiences with generative AI in higher education, ethical awareness · 1
Representative papers
- Supervision Skills of Supervisors in AI-enhanced Environments: Perspectives on Postgraduate SupervisionThembi Busisiwe Nkosi · 2026 · 1 citations
- From tool to partner: generative AI usage patterns and research performance among doctoral students2026 · 1 citations
- ChatGPT in education: A blessing or a curse? A qualitative study exploring early adopters’ utilization and perceptionsReza Hadi Mogavi · 2023 · 339 citations
- Drivers and Consequences of ChatGPT Use in Higher Education: Key Stakeholder PerspectivesAhmed M. Hasanein · 2023 · 202 citations
- Use of artificial intelligence tools by doctoral students: a mixed-methods explanatory-sequential investigationMuhammad Naveed Akbar · 2025 · 8 citations
- Reskilling Me Softly: Perceived Changes in Students’ Skilling When Using GenAI in Academic Research ProjectsNina Passlack · 2025 · 4 citations
- Attitudes of medical and life sciences university students and postdoctoral fellows toward AI chatbots in education: an international cross-sectional surveyJeremy Y. Ng · 2026 · 2 citations
- Advancing Problem-Based Learning in Biomedical Engineering in the Era of Generative AI2026 · 2 citations