Assessing students on-the-fly is an important but challenging task for teachers. In initial teacher education, a call has been made to better prepare pre-service teachers for this complex task. Advances in technology allow this training to be done through authentic learning environments, such as video-based simulations. To understand the learning process in such simulations, it is necessary to determine how cognitive and motivational learner characteristics influence situative learning experiences, such as the perception of authenticity, cognitive load, and situational motivation, during the simulation and how they affect aspects of performance. In the present study, = 150 pre-service teachers from German universities voluntarily participated in a validated online video-based simulation targeting on-the-fly student assessments. We identified three profiles of learner characteristics: one with above average knowledge, one with above average motivational-affective traits, and one with below average knowledge and motivational-affective traits. These profiles do not differ in the perception of the authenticity of the simulation. Furthermore, the results indicate that the profiled learners navigate differently through the simulation. The knowledgeable learners tended to outperform learners of the other two profiles by using more learning time for the assessment process, also resulting in higher judgment accuracy. The study highlights how learner characteristics and processes interact, which helps to better understand individual learning processes in simulations. Thus, the findings may be used as a basis for future simulation research with a focus on adaptive and individual support.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9433143 | PMC |
http://dx.doi.org/10.1186/s41239-022-00351-9 | DOI Listing |
J Med Educ Curric Dev
December 2024
UT Health Science Center San Antonio, San Antonio, TX, USA.
This perspective piece addresses the challenges junior clinician-educators face as they navigate career development within academic medical centers. In addition to understanding local promotion and tenure processes and seeking mentorship, we argue that faculty feedback is an often neglected, but essential, component in clinician-educator development. We repurpose and use the MISCA model-Message, Implementation, Student, Context, and Agents-as a framework to better understand and improve feedback for faculty.
View Article and Find Full Text PDFBMC Med Educ
December 2024
Emergency Medicine Unit and Emergency Medicine Postgraduate Training Program, Department of Internal Medicine, University of Pavia, IRCCS Policlinico San Matteo Foundation, Pavia, Italy.
Background: Despite the importance of Ultrasound-guided Regional Anaesthesia (UGRA) in Emergency Medicine (EM), there is significant variability in UGRA training among emergency physicians. We recently developed a one-day (8 h), simulation-based UGRA course, specifically tailored to help emergency physicians to integrate these skills into their clinical practice.
Methods: In this pre/post intervention study, emergency physicians attended a course consisting of a 4-hour teaching on background knowledge and a practical part structured as follows: a scanning session on a healthy individual; a needling station with an ex-vivo model (turkey thighs); a simulation-based learning experience on local anaesthetic toxicity (LAST); a session on the UGRA simulator BlockSim™.
Clin J Am Soc Nephrol
December 2024
Department of Nephrology and Medical Intensive Care, Charité Universitätsmedizin Berlin, Germany.
Background: Autosomal dominant polycystic kidney disease (ADPKD) is the most common genetic cause of kidney failure. Specific treatment is indicated upon observed or predicted rapid progression. For the latter, risk stratification tools have been developed independently based on either total kidney volume or genotyping as well as clinical variables.
View Article and Find Full Text PDFPeerJ
December 2024
Department of Fundamental and Applied Sciences, Faculty of Science and Information Technology, Universiti Teknologi PETRONAS, Seri Iskandar, Perak, Malaysia.
Background: Alzheimer's Disease (AD) poses a major challenge as a neurodegenerative disorder, and early detection is critical for effective intervention. Magnetic resonance imaging (MRI) is a critical tool in AD research due to its availability and cost-effectiveness in clinical settings.
Objective: This study aims to conduct a comprehensive analysis of machine learning (ML) methods for MRI-based biomarker selection and classification to investigate early cognitive decline in AD.
J Educ Health Promot
September 2024
Department of Anatomy, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Background: In team-based learning (TBL), students actively participate in the learning process and are responsible for their learning through preclass studying and team work with other classmates. Evaluation of the TBL method by students provides information for its better implementation. Due to extensive use of TBL method in medical curriculum at medical universities, we aimed to develop a questionnaire for its evaluation from the viewpoints of students.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!