Semi-structured interviews with 16 orthodontic professionals build a multilevel framework of motivations, barriers and enablers for lifelong learning, including AI-supported approaches. The small qualitative framework needs quantitative and cross-context validation.
Key findings
- Semi-structured interviews with 16 orthodontic professionals build a multilevel framework of motivations, barriers and enablers for lifelong learning, including AI-supported approaches. The small qualitative framework needs quantitative and cross-context validation.
Why this matters globally
This work adds internationally comparable evidence in Health sciences and defines questions for replication in other populations or systems. Its global value lies in the evidence and transferable reasoning, not in a single impact score.
Thai researcher contribution
Thailand-linked authors and Mahidol University contribute to the research network behind this work. Thai participation is identified from bibliographic affiliations and should be checked against the author list and source article.
Limitations to consider
Findings reflect the sampled context and should not be treated as prevalence estimates or population-wide conclusions without further testing.
Verify the original sources
JMIR Medical EducationRead the original article↗DOI: 10.2196/85634