Aim: This paper evaluates the use of online video learning materials used for a simulation laboratory course for 2 consecutive cohorts of students using an evaluation and analytics approach.
Methods: 100 online video clips were created to support students' learning before, during and after the scheduled simulation laboratory teaching sessions in a fixed prosthodontics course. Videoed online presentations included screen-captured PowerPoint presentations, simulation laboratory psychomotor and clinical skills demonstrations, individual student case consultations and whole-class worksheet debriefings. Data files and access data were analyzed for 2 consecutive cohorts of 4th year students. An evaluation questionnaire was administered on the 2015 cohort.
Results: Feedback on learning resources were strongly positive. 100% of students reported that the videos helped in their learning, preparation for simulation laboratory classes, to refresh their memory prior to clinical care, prepare for the clinical competency test and prepare for examinations. In total, 4689 videos were accessed, 35% by class 2015 and 65% by 2016. 73% of these were watched during the simulation laboratory course, 13% were watched 2-3 weeks before examinations and 14% during the remainder of the year.
Conclusion: Videos were reported to support student learning and were valued for a range of learning needs. However, significant differences between student consumption and strategies need to be designed to engage low consumers.
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http://dx.doi.org/10.1111/jicd.12453 | DOI Listing |
BMC Microbiol
January 2025
Department of Laboratory Medicine, the Second Affiliated Hospital, Chongqing Medical University, Chongqing, 400010, P.R. China.
Background: Enterobacter cloacae is increasingly prevalent and resistant to multiple antibiotics, making it a significant pathogen in healthcare settings with high mortality rates. However, its pathogenic mechanisms are not fully understood.
Results: In this study, we explored the role of nagZ in regulating the virulence of E.
Ann Biomed Eng
January 2025
Department of Biomedical Engineering, Schulich School of Engineering, University of Calgary, CCIT216, 2500 University Drive NW, Calgary, AB, T2N 1N4, Canada.
Purpose: Simulation studies, such as finite element (FE) modeling, offer insights into knee joint biomechanics, which may not be achieved through experimental methods without direct involvement of patients. While generic FE models have been used to predict tissue biomechanics, they overlook variations in population-specific geometry, loading, and material properties. In contrast, subject-specific models account for these factors, delivering enhanced predictive precision but requiring significant effort and time for development.
View Article and Find Full Text PDFLifetime Data Anal
January 2025
Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, China.
We study kernel-based estimation methods for partially linear varying coefficient additive hazards models, where the effects of one type of covariates can be modified by another. Existing kernel estimation methods for varying coefficient models often use a "local" approach, where only a small local neighborhood of subjects are used for estimating the varying coefficient functions. Such a local approach, however, is generally inefficient as information about some non-varying nuisance parameter from subjects outside the neighborhood is discarded.
View Article and Find Full Text PDFSci Rep
January 2025
Laser and Plasma Research Institute, Shahid Beheshti University, Tehran, Iran.
A localized surface plasmon resonance (LSPR) sensor based on tapered optical fiber (TOF) using hollow gold nanoparticles (HAuNPs) for measuring the refractive index (RI) is presented. This optical fiber sensor is a good candidate for a label-free RI biosensor. In practical biosensors, bioreceptors are immobilized on nanoparticles (NPs) that only absorb specific biomolecules.
View Article and Find Full Text PDFSci Rep
January 2025
College of Safety Science and Engineering, Liaoning Technical University, Fuxin, 123000, Liaoning, China.
The abandoned coal in goaf will adsorb the gases ethylene (CH) and acetylene (CH) produced by coal oxidation, which makes the concentration data of the indicator gas inaccurate. Therefore, the adsorption law of coal and CH and CH gas is explored. The macromolecular structure model of coal was established and optimized by simulation, and the gas adsorption process was simulated by means of grand canonical Monte Carlo method.
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