Background: Peer-assisted learning represents a favoured method of teaching in universities. The COVID-19 pandemic has necessitated transferring medical education to digital formats, and subsequently, the question has arisen of whether online tutorials might be effective. This study, thus, investigated the efficacy of online tutorials in a communication course by assessing the interaction, verbal communication, and nonverbal communication of tutors and students.
Methods: Second-year medical students were invited to participate in this longitudinal quantitative study. Validated and self-developed questionnaires (e.g., Jefferson Empathy Scale) including 39 questions (rated on a 7- or 5-point Likert scale) were used to assess the different variables including interaction, verbal and nonverbal communication and students' learning success.
Results: Out of 165 medical students, 128 took part in the study. The students as well as tutors reported that they found each other likeable (M = 4.60±0.71; M = 4.38±0.53; p > .05). Learning success increased throughout the communication course (Cohen's d = 0.36-0.74). The nonverbal and verbal communication in the simulated patient (SP) encounter was also rated as high by all three groups (M = 3.90±0.83; M = 4.88±0.35).
Conclusions: Interaction as well as nonverbal and verbal communication occurred in the online format, indicating that online tutorials can be effective. The implementation of SPs increases the efficiency of synchronous online learning as it enhances the simulation of a real patient-physician encounter. Thus, online tutorials are a valuable amendment to medical education.
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http://dx.doi.org/10.1186/s12909-022-03741-9 | DOI Listing |
Bioinformatics
December 2024
Max Perutz Labs, Vienna Biocenter Campus (VBC), Vienna, A-1030, Austria.
Motivation: The efficient and reproducible analysis of high-throughput sequencing datasets necessitates the development of methodical and robust computational pipelines that integrate established and bespoke bioinformatics analysis tools, often written in high-level programming languages such as Python. Despite the increasing availability of programming libraries for genomics, there is a noticeable lack of tools specifically focused on transcriptomics. Key tasks in this area include the association of gene features (e.
View Article and Find Full Text PDFBioinformatics
December 2024
Laboratory of Data Discovery for Health Limited (D24H), Hong Kong SAR, China.
Summary: With the recent advancement in single-cell RNA-sequencing technologies and the increased availability of integrative tools, challenges arise in easy and fast access to large collections of cell atlas. Existing cell atlas portals rarely are open sourced and adaptable, and do not support meta-analysis at cell level. Here, we present an open source, highly optimised and scalable architecture, named Scope+, to allow quick access, meta-analysis and cell-level selection of the atlas data.
View Article and Find Full Text PDFBioinformatics
December 2024
Department of Software Engineering, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic.
Motivation: Structure-based methods for detecting protein-ligand binding sites play a crucial role in various domains, from fundamental research to biomedical applications. However, current prediction methodologies often rely on holo (ligand-bound) protein conformations for training and evaluation, overlooking the significance of the apo (ligand-free) states. This oversight is particularly problematic in the case of cryptic binding sites (CBSs) where holo-based assessment yields unrealistic performance expectations.
View Article and Find Full Text PDFPsychol Methods
December 2024
Department of Philosophy, Sociology, Education and Applied Psychology, University of Padova.
Experiments with fully crossed designs are often used in experimental psychology spanning several fields, from cognitive psychology to social cognition. These experiments consist in the presentation of stimuli representing super-ordinate categories, which have to be sorted into the correct category in two contrasting conditions. This tutorial presents a linear mixed-effects model approach for obtaining Rasch-like parameterizations of response times and accuracies of fully crossed design data.
View Article and Find Full Text PDFJMIR Form Res
December 2024
Department of Obstetrics and Gynecology, University of Michigan, 1500 E Medical Center Dr, Ann Arbor, MI, 48109, United States, 1 734-763-3429, 1 734-647-9727.
Background: As technology continues to shape the landscape of health research, the utilization of web-based surveys for collecting sexual health information among adolescents and young adults has become increasingly prevalent. However, this shift toward digital platforms brings forth a new set of challenges, particularly the infiltration of automated bots that can compromise data integrity and the reliability of survey results.
Objective: We aimed to outline the data verification process used in our study design, which employed survey programming and data cleaning protocols.
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