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Effects of problem-based learning modules within blended learning courses in medical statistics – A randomized controlled pilot study
- Source :
- PLoS ONE, Vol 17, Iss 1 (2022), PLoS ONE, Vol 17, Iss 1, p e0263015 (2022), PLoS ONE
- Publication Year :
- 2022
- Publisher :
- Public Library of Science (PLoS), 2022.
-
Abstract
- Problem-based learning (PBL) allows students to learn medical statistics through problem solving experience. The aim of this study was to assess the efficiency of PBL modules implemented in the blended learning courses in medical statistics through knowledge outcomes and student satisfaction. The pilot study was designed as a randomized controlled trial that included 53 medical students who had completed all course activities. The students were randomized in two groups: the group with access to PBL modules within the blended learning course (hPBL group) and the group without access to PBL modules–only blended learning course (BL group). There were no significant differences between the groups concerning socio-demographic characteristics, previous academic success and modality of access to course materials. Students from hPBL group had a significantly higher problem solving score (p = 0.012; effect size 0.69) and the total medical statistics score (p = 0,046; effect size 0.57). Multivariate regression analysis with problem solving as an outcome variable showed that problem solving was associated with being in hPBL group (p = 0.010) and having higher grade point average (p = 0.037). Multivariate regression analysis with the medical statistics score as an outcome variable showed the association between a higher score on medical statistics with access to PBL modules (p = 0.045) and a higher grade point average (p = 0.021). All students in hPBL group (100.0%) considered PBL modules useful for learning medical statistics. PBL modules can be easily implemented in the existing courses within medical statistics using the Moodle platform, they have high applicability and can complement, but not replace other forms of teaching. These modules were shown to be efficient in learning, to be well accepted among students and to be a potential missing link between teaching and learning medical statistics. The authors of this study are planning to create PBL modules for advanced courses in medical statistics and to conduct this study on other universities with a more representative study sample, with the aim to overcome the limitations of the existing study and confirm its results.
- Subjects :
- Male
Viral Diseases
Computer and Information Sciences
Students, Medical
Epidemiology
Science
education
Social Sciences
Pilot Projects
Biostatistics
Education
Computer Software
Human Learning
Learning and Memory
Medical Conditions
Sociology
Diagnostic Medicine
Medicine and Health Sciences
Humans
Learning
Psychology
Pandemics
Problem Solving
Virus Testing
Multidisciplinary
Education, Medical
Statistics
Cognitive Psychology
Biology and Life Sciences
Software Engineering
Covid 19
Problem-Based Learning
Infectious Diseases
Physical Sciences
Lectures
Cognitive Science
Engineering and Technology
Medicine
Female
Mathematics
Research Article
Neuroscience
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 17
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....f523facbb234b8205e058ea624a8e476