View clinical trials related to Learning.
Filter by:The main purpose of this study is to compare the effect of teaching Cardiopulmonary Exercise Test (CPET) via e-learning and face-to-face to doctors receiving postgraduate medical education (PGME).
The oral comprehension (OC) of a second language (L2) involves different cognitive processes, specially during the learning phase. This study aims at investigating the neurophysiological functioning of different steps involved in this oral understanding.
This interventional study aims to investigate whether Virtual Reality (VR) compared to traditional education and training, can enhance the correct triage abilities of nursing students in simulated mass casualty incidents (MCI). The primary research question seeks to answer if VR compared to Standard education supports students' ability to triage correctly in a simulated MCI situation. Additionally, this study aims to address the following secondary questions: Does VR compared to standard education have an effect on the time to triage in a simulated MCI situation? And, does VR compared to Standard education have an effect on theoretical knowledge retention concerning triage in MCI situations? In the interventional group, participants will utilize VR for MCI training and learning, while the control group will undergo standard education, including lectures and paper exercises. The researchers will compare the two groups of nursing students to assess whether VR yields better outcomes in MCI triage education.
Acting adaptively requires quickly picking up on structure in the environment and storing the acquired knowledge for effective future use. Dominant theories of the hippocampus have focused on its ability to encode individual snapshots of experience, but the investigators and others have found evidence that it is also crucial for finding structure across experiences. The mechanisms of this essential form of learning have not been established. The investigators have developed a neural network model of the hippocampus instantiating the theory that one of its subfields can quickly encode structure using distributed representations, a powerful form of representation in which populations of neurons become responsive to multiple related features of the environment. The first aim of this project is to test predictions of this model using high resolution functional magnetic resonance imaging (fMRI) in paradigms requiring integration of information across experiences. The results will clarify fundamental mechanisms of how humans learn novel structure, adjudicating between existing models of this process, and informing further model development. There are also competing theories as to the eventual fate of new hippocampal representations. One view posits that during sleep, the hippocampus replays recent information to build longer-term distributed representations in neocortex. Another view claims that memories are directly and independently formed and consolidated within the hippocampus and neocortex. The second aim of this project is to test between these theories. The investigators will assess changes in hippocampal and cortical representations over time by re-scanning participants and tracking changes in memory at a one-week delay. Any observed changes in the brain and behavior across time, however, may be due to generic effects of time or to active processing during sleep. The third aim is thus to assess the specific causal contributions of sleep to the consolidation of structured information. The investigators will use real-time sleep electroencephalography to play sound cues to bias memory reactivation. The investigators expect that this work will clarify the anatomical substrates and, critically, the nature of the representations that support encoding and consolidation of novel structure in the environment.
This study is based on the implementation of the method named "Learning-from-excellence", see methodology www.learningfromexcellence.com. The project is a longitudinal cohort study based on data from both qualitative and quantitative data, presented in two different research articles, one qualitative and one quantitative, using : - an electronic questionnaire on "work-engagement, team collaboration and patient safety climate" before and after implementing Learning from Excellence. - focus group interviews to explore experiences with the method of Learning from excellence from the view of healthcare professionals.
Blended learning (BL) combines both face-to-face learning (FL) and online learning. There is no evidence about the effects of a BL program in cardiac physiotherapy education. This study aimed at comparing the effectiveness of a BL program versus a FL program in Physiotherapy Degree students on knowledge, competencies, satisfaction, perceptions, usability, BL acceptance, attitudes and behaviours. An assessor-blinded randomized trial was performed.
Generation Victoria (GenV) is a longitudinal, population-based study of Victorian children and their parents that will bring together data on a wide range of conditions, exposures and outcomes. GenV blends study-collected, study-enhanced and linked data. It will be multi-purpose, supporting observational, interventional, health services and policy research within the same cohort. It is designed to address physical, mental and social issues experienced during childhood, as well as the antecedents of a wide range of diseases of ageing. It seeks to generate translatable evidence (prediction, prevention, treatments, services) to improve future wellbeing and reduce the future disease burden of children and adults. The GenV Cohort 2020s is open to all babies born over a two-year period, and their parents, residing in the state of Victoria Australia. The GenV Cohort 2020s is preceded by an Advance Cohort of babies born between 5 Dec 2020 and 3 October 2021, and their parents. This comprises all families recruited at GenV's Vanguard hospital (Joan Kirner Women's and Children's) and at birthing hospitals throughout Victoria as GenV scaled up to commence recruiting for the GenV Cohort 2020s. The Advance Cohort have ongoing and full participation in GenV for their lifetime unless they withdraw but may have less complete data and biosamples.
This research will be carried out with the aim of making this practice practical with simulation-based training and improving cognitive, affective and psychomotor skills, and then applying it in the clinic, before applying the nasogastric tube placement application, which is included in enteral nutrition, to the child in the clinic.
The main objective of this study is to demonstrate that Error Management Training improves adaptive expertise in head computed tomography interpretation. The investigators will conduct a randomized controlled trial comparing two learning strategies, Error Management Training vs Error Avoidance Training, in emergency medicine residents. The investigators hypothesize that Error Management Training, as compared to Error Avoidance Training, will improve adaptive expertise, as measured by skills transfer, when used to teach head computed tomography interpretation to emergency medicine residents.
The hypothesis of our work is that with the simulation techniques applied in the Medical School of the Autonomous University of Barcelona (UAB), students accelerate the learning curve of clinical skills, acquire transversal skills in medicine, and obtain a higher quality learning.