Problem-based learning on the WeChat public platform in radiation oncology residency training programs.

Area of Science:

• Medical Education
• Radiation Oncology
• Digital Learning Platforms

Background:

• Radiation oncology residency training requires effective pedagogical approaches.
• Traditional teaching methods may not fully engage residents in complex subject matter.
• Integrating digital platforms can enhance accessibility and interactivity in medical education.

Purpose of the Study:

• To evaluate the effectiveness of a Problem-based Learning (PBL) teaching model utilizing the WeChat public platform.
• To assess the impact of this PBL model on radiation oncology residency training outcomes.
• To gauge resident satisfaction with the novel teaching methodology.

Main Methods:

• A Problem-based Learning (PBL) program was implemented on the WeChat platform for radiation oncology residents.
• Participants engaged in literature review and presentation summarization on selected oncology topics.
• Resident examination scores and questionnaire feedback were used for evaluation.

Main Results:

• The PBL group demonstrated superior average graduation scores compared to the non-PBL group.
• A higher percentage of PBL participants achieved high scores (56.3%) versus the non-PBL group (25%).
• First-year residents in the PBL group scored significantly higher (92.3) than their non-PBL peers (88.6).

Conclusions:

• The WeChat-based PBL model significantly improved radiation oncology residency examination scores.
• The pedagogical approach fostered high levels of student satisfaction.
• This digital PBL strategy represents an effective enhancement for residency training programs.