Abstract
This paper reviews the available e-learning applications used in teaching medicine and presents the functionalities of the Web application developed to support classes conducted with the problem-based learning (PBL) method. The application is a form of e-learning platform that allows posting as well as archiving content stored during PBL sessions; it is made up of three modules: the administration module, the teacher module, and the student module. The presented Web application is flexible in operation; it allows designing the number of groups and PBL sessions. The user, apart from using the system during PBL sessions, can access it at any place and time to supplement and update the content. The materials collected during individual PBL sessions constitute sets of content unique for each group because the learning objectives are different for them. With this approach, students can study considerably larger batches of material than it would be possible during classes conducted with other methods.
Acknowledgments
Jagiellonian University Medical College (grant no. K/ZDS/004613).
Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
Research funding: None declared.
Employment or leadership: None declared.
Honorarium: None declared.
Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.
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Articles in the same Issue
- Frontmatter
- Review
- Is the growth rate of Protein Data Bank sufficient to solve the protein structure prediction problem using template-based modeling?
- Research Articles
- The use of Titan yellow dye as a metal ion binding marker for studies on the formation of specific complexes by supramolecular Congo red
- Role of D278N mutation for stability of prion dimer and tetramer structure
- AORTA software system for evaluating individual predisposition to atherosclerosis on the basis of genetic and phenotypic markers
- Neural modelling of growth hormone therapy for the prediction of therapy results
- Level-set image processing methods in medical image segmentation
- Design of a teledermatology system to support the consultation of dermoscopic cases using mobile technologies and cloud platform
- Student medical education with the real orthopedic case presented as interactive computer simulation
- ePBLmed: application supporting classes in medical colleges conducted with the problem based learning method