Background: The aim of this study was to evaluate the effectiveness of team-, case-, lecture-, and evidence-based learning (TCLEBL) methods in cultivating students' clinical and research abilities, as compared to traditional lecture-based learning (LBL) approaches.

Methods: Forty-one medical postgraduates were divided into two groups, a TCLEBL group and an LBL group. Teaching effectiveness was evaluated through student- and teacher-feedback questionnaires, scores from theoretical examinations and written literature reviews, and student learning burdens.

Results: Compared to the LBL approach, both teachers and students were more satisfied with the TCLEBL model (p < 0.001 for both teachers and students). The TCLEBL group performed significantly higher on the theory test compared to the LBL group (p = 0.009). There were significant differences between the LBL and TCLEBL groups, respectively, in terms of literature review and citations (12.683 ± 2.207 vs. 16.302 ± 1.095, p < 0.001), argument and perspective (12.55 ± 1.572 vs. 16.333 ± 1.354, p < 0.001), comprehensiveness of content (13.3 ± 2.268 vs. 16.683 ± 1.344, p < 0.001), and scientific rigor and accuracy (10.317 ± 1.167 vs. 12.746 ± 0.706, p < 0.001). There was no significant difference in the total extracurricular time expended between the two groups (323.75 ± 30.987 min vs. 322.619 ± 24.679 min, respectively for LBL vs. TCLEBL groups, p = 0.898).

Conclusions: TCLEBL is an effective teaching method that cultivates students' clinical and research abilities.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11184766PMC
http://dx.doi.org/10.1186/s12909-024-05650-5DOI Listing

Publication Analysis

Top Keywords

team- case-
8
case- lecture-
8
lecture- evidence-based
8
evidence-based learning
8
medical postgraduates
8
learning
4
learning medical
4
postgraduates training
4
training background
4
background aim
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!