Objectives: To evaluate the perception of medical students of the new approach to problem-based learning which involves students writing their own problem-based learning cases based on their recent clinical attachment, and team assessment.

Design: Focus group interviews with students using purposive sampling. Transcripts of the audio recordings were analysed using thematic analysis.

Setting: Imperial College School of Medicine, London.

Participants: Medical students in the second year of the MBBS course, who attended the problem-based learning case writing session.

Main Outcome Measures: To elicit the students' views about problem-based learning case writing and team assessment.

Results: The following broad themes emerged: effect of group dynamics on the process; importance of defining the tutor's role; role of summative assessment; feedback as a learning tool and the skills developed during the process.

Conclusions: Overall the students found the new approach, writing problem-based learning cases based on patients seen during their clinical attachments, useful in helping them to gain a better understanding about the problem-based learning process, promoting creativity and reinforcing the importance of team work and peer assessment which are vital professional skills. Further tutor development and guidance for students about the new approach was found to be important in ensuring it is a good learning experience. We hope this evaluation will be of use to other institutions considering introducing students' case writing to problem-based learning.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4776248PMC
http://dx.doi.org/10.1177/2054270415622776DOI Listing

Publication Analysis

Top Keywords

problem-based learning
32
case writing
16
learning case
12
students approach
12
writing problem-based
12
learning
9
problem-based
8
clinical attachments
8
focus group
8
medical students
8

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!