Background: Implementing PBL in teaching and learning can be challenging due to a variety of complex barriers. Studies on barriers to the implementation of problem-based learning in Ethiopia are scarce. This study aimed to explore the barriers to the implementation of problem-based learning at the Debre Berhan University Medical School.
Methods: A qualitative study was conducted among faculty and medical students at the medical school. Purposive sampling was used to select participants. Semi-structured interviews were conducted with tutors and academic leaders, including the problem-based learning coordinator, the biomedical sciences coordinator, and the school dean. Data was also collected from students through focus group discussions. All interviews and discussions were recorded. The four steps of data analysis of Spradley, including domain analysis, taxonomic analysis, componential analysis, and theme analysis, were employed.
Results: The study identified student-related, tutor-related, case scenario-related, and assessment-related barriers as the most significant obstacles to implementing problem-based learning. These barriers included work overload for both students and tutors, lack of training and experience among tutors, student reluctance, absence of standardized case scenarios, subjectivity of assessment methods, and on-the-spot assessment of students.
Conclusions And Recommendations: Lack of both tutor and student commitment, lack of standardized cases, absence of a recognition of staff input, gap in communication skills, work overload, lack of continuous training, and at-spot evaluation of students were identified as the main barriers to the implementation of PBL.
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http://dx.doi.org/10.1186/s12909-024-05252-1 | DOI Listing |
Neurotherapeutics
January 2025
Division of Neurosciences Critical Care, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Anesthesiology & Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address:
A wide range of acute brain injuries, including both traumatic and non-traumatic causes, can result in elevated intracranial pressure (ICP), which in turn can cause further secondary injury to the brain, initiating a vicious cascade of propagating injury. Elevated ICP is therefore a neurological injury that requires intensive monitoring and time-sensitive interventions. Patients at high risk for developing elevated ICP undergo placement of invasive ICP monitors including external ventricular drains, intraparenchymal ICP monitors, and lumbar drains.
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January 2025
Faculty of Mathematics and Natural Sciences , Hochschule Darmstadt, Schöfferstr., 3, Darmstadt, Hessen, 64295, GERMANY.
Magnetic Particle Imaging (MPI) is an emerging medical imaging modality which has gained increasing interest in recent years. Among the benefits of MPI are its high temporal resolution, and that the technique does not expose the specimen to any kind of ionizing radiation. It is based on the non-linear response of magnetic nanoparticles to an applied magnetic field.
View Article and Find Full Text PDFSci Rep
January 2025
College of Intelligent systems Science and Engineering, Harbin Engineering University, Harbin, 150006, China.
Most of toolpaths for machining is composed of series of short linear segments (G01 command), which limits the feedrate and machining quality. To generate a smooth machining path, a new optimization strategy is proposed to optimize the toolpath at the curvature level. First, the three essential components of optimization are introduced, and the local corner smoothness is converted into an optimization problem.
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December 2024
Alzheimer's Disease Neuroimaging Initiative, http://adni.loni.usc.edu/, CA, USA.
Background: Assessing tau accumulation in early affected areas like the lateral entorhinal cortex (EC) and inferior temporal gyrus (ITG) enables early prediction of disease progression and cognitive decline. However, positron emission tomography (PET) imaging poses radiation exposure and cost concerns. This research aims to develop a deep learning model predicting tau positivity in these regions using MRI.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Kansas Medical Center, Kansas City, KS, USA.
Background: The medical and social history of patients with Alzheimer's Disease is heterogeneous with many interacting genetic and environmental factors contributing to an individual's risk. Moreover, a maternal family history (mFH) is a key risk factor for AD-raising the risk for disease onset by as much as nine times. However, a proportion of individuals do not have a complete knowledge of their family history.
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