Assessing and optimizing Team-Based Learning in undergraduate cosmetic dermatology education: an empirical study using interpretable machine learning

TBL effectively enhances students' learning interest and comprehensive competencies in cosmetic dermatology education, demonstrating strong potential for broader application. However, significant opportunities for refinement persist in instructional design.

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Publication Details

Journal
BMC Medical Education
Published
2025-12-23
DOI
https://doi.org/10.1186/s12909-025-08325-x
Primary Topic
Problem and Project Based Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

Assessing and optimizing Team-Based Learning in undergraduate cosmetic dermatology education: an empirical study using interpretable machine learning

Lihua Gao, Lu Zhou, Jinrong Zeng, Pingxiang Ouyang et al.
BMC Medical Education
Problem and Project Based Learning
article

Assessing and optimizing Team-Based Learning in undergraduate cosmetic dermatology education: an empirical study using interpretable machine learning

Lihua Gao, Lu Zhou, Jinrong Zeng, Pingxiang Ouyang, Jianyun Lu
article en

Abstract

TBL effectively enhances students' learning interest and comprehensive competencies in cosmetic dermatology education, demonstrating strong potential for broader application. However, significant opportunities for refinement persist in instructional design.

BMC Medical EducationVol. 26(1)
Central South University (CN), Third Xiangya Hospital (CN)
Quality Education
Openalex Percentile: Top 19%
Problem and Project Based Learning
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