Background: This research provides an educational perspective on simulation-based medical education by implementing both the characteristics of meaningful learning and the concepts of facilitating, training, and learning processes.
Aims: This study aims to evaluate, from the perspectives of both facilitators and students, the meaningfulness of five different simulation-based courses.
Methods: The courses were implemented in the spring of 2010. The data were collected from facilitators (n = 9) and students (n = 25) using group interviews (one individual interview), observations, video recordings, and pre- and post-questionnaires. The research analyzes qualitative data using the qualitative content analysis method to answer the following research question: From facilitators' and students' perspectives, how does the facilitating and training in simulation-based learning environments (SBLEs) foster the meaningful learning of students?
Results: It seems that simulation-based learning is, at its foundation, meaningful since it inherently supports the many characteristics of meaningful learning. However, characteristics also exist that simulation-based learning does not inherently support. In this study, the goal-oriented, self-directed, and individual training characteristics were only somewhat supported during the facilitation and training in SBLEs.
Conclusions: In running these courses in the future, facilitators should concentrate on those characteristics that were only somewhat supported.
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http://dx.doi.org/10.3109/0142159X.2013.853116 | DOI Listing |
Int J Antimicrob Agents
December 2024
Department of Pharmacy, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510163, China. Electronic address:
Despite the widespread use of voriconazole in antifungal treatment, its high pharmacokinetic and pharmacodynamic variability may lead to suboptimal efficacy, especially in intensive care unit (ICU) patients. Machine learning (ML), an artificial intelligence modeling approach, is increasingly being applied to personalized medicine. The effectiveness of ML models for predicting voriconazole blood concentrations in ICU patients, compared to traditional population pharmacokinetics (popPK) models, has been uncertain until now.
View Article and Find Full Text PDFImpactful learning through simulation-based education involves effective planning and design. This can be a complex process requiring educators to master a varied toolkit of analysis tools, learning methodologies, and evaluative strategies; all to ensure engagement of learners in a meaningful and impactful way. Where there is a lack of thoughtful design, simulation-based education programmes may be inefficiently deployed at best, and completely ineffective or even harmful to learning and learners at worst.
View Article and Find Full Text PDFBMC Med Educ
December 2024
Department of Surgery, Aga Khan University Hospital, Karachi, Pakistan.
Background: Simulation-based learning (SBL) and augmented reality (AR) /virtual reality (VR) are increasingly adapted and investigated globally to aid traditional teaching methods of clinical skills in several fields of clinical dentistry. This cross-sectional study was, therefore, aimed to assess the availability of such technology to Prosthodontics postgraduate trainees in Pakistan, as well as their introspective views regarding the effectiveness of adapting to simulation-based learning methods.
Method: Total population sampling yielded a sample of 200 participants.
Sci Rep
December 2024
Department of Orthodontics, Faculty of Dentistry, Mahidol University, Bangkok, Thailand.
This research evaluated the effectiveness of an online simulation-based serious game as a learning tool in diagnosis and treatment planning for oral lesions (SimOL) in comparison to a pre-recorded lecture-based approach and to determine its appropriate integration into the undergraduate dental curriculum. A crossover randomized control trial was conducted with a cohort of 77 dental undergraduates. They were randomly assigned into two groups.
View Article and Find Full Text PDFCurr Pharm Teach Learn
December 2024
Department of Basic Sciences, College of Medicine, Sulaiman Al-Rajhi University, Al-Bukayriyah, Saudi Arabia; Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmacy, Universiti Malaya, Kuala Lumpur, Malaysia. Electronic address:
The integration of artificial intelligence (AI) into pharmacy education offers transformative opportunities but also introduces significant challenges. This commentary explores whether AI will reshape or deform pharmacy education by analyzing its effects on personalized learning, complex concept comprehension, simulation-based clinical training, interprofessional education, and administrative efficiency. While AI-driven tools provide adaptive learning experiences, immersive visualizations, and streamlined administrative processes, concerns persist about overreliance on technology, skill atrophy, ethical and legal challenges, erosion of humanistic skills, inequities stemming from the digital divide, and faculty preparedness.
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