Observation of an expert or novice model promotes the learning of a motor skill. In two experiments, we determined the effects of a mixed observation schedule (a combination of expert and novice models) on the learning of a sequential timing task. In Experiment 1, participants observed a novice, expert, or both novice and expert models. The results of retention/transfer tests revealed that all observation groups and a physical practice group learned the task and outperformed a control group. However, observing a novice model was not as effective as observing expert and mixed models. Importantly, a mixed schedule of novice and expert observation resulted in a more stable movement time and better generalization of the imposed relative timing pattern than observation of either a novice or expert model alone. In Experiment 2, we aimed to determine whether a certain type of novice performance (highly variable, with or without error reduction with practice) in a mixed observation schedule would improved motor learning. The observation groups performed as well as a physical practice group and significantly better than a control group. No significant difference was observed with the type of novice model used in a mixed schedule of observation. The results suggest that mixed observation provides an accurate template of the movement (expert observation) that is enhanced when contrasted with the performance of less successful models.
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http://dx.doi.org/10.1007/s00221-011-2882-x | DOI Listing |
PLoS One
January 2025
Department of Japanese Oriental Medicine, Faculty of Medicine, Academic Assembly, University of Toyama, Toyama, Japan.
Human cognition is reflected in gaze behavior, which involves eye movements to fixate or shift focus between areas. In natural interactions, gaze behavior serves two functions: signal transmission and information gathering. While expert gaze as a tool for gathering information has been studied, its underlying cognitive processes remain insufficiently explored.
View Article and Find Full Text PDFActa Gastroenterol Belg
January 2025
Department of Gastroenterology and Hepatology, Maria Middelares Hospital, Ghent, Belgium.
Background And Study Aim: The ESGE curriculum guideline on training in ESD advises an extensive experience in animal models before commencing ESD training on humans. However, the evidence on which this recommendation is based, is rather limited. In this study we evaluate the performance of novices in ESD during their one-year training period; with continuous supervision of an endoscopist with extensive experience in ESD.
View Article and Find Full Text PDFBMC Med Educ
January 2025
Department of Physical Therapy, College of Medicine, National Cheng Kung University, Tainan City, 701, Taiwan.
Background: The modified Fresno test was developed to assess knowledge and skills related to evidence-based practice among physical therapists and students, however no Chinese version is available. Therefore, the aim of this study was to cross-culturally adapt the English version of the modified Fresno test into Chinese and to evaluate its validity and reliability.
Methods: This was a cross-sectional validation study.
Nurs Rep
December 2024
Healthy Children Project, Inc., Harwich, MA 02645, USA.
Background: Despite the short- and long-term acknowledged benefits of breastfeeding for mothers and their infants, worldwide rates trail behind international goals. Prior research confirms that breastfeeding is a nurse sensitive indicator and that problems with latching the baby and painful breastfeeding rank high among the reasons given for not continuing to breastfeed. The Lactation Assessment Tool (LAT) was previously evaluated in a study conducted in Latvia by nurse midwives.
View Article and Find Full Text PDFImproved surgical skill is generally associated with improved patient outcomes, although assessment is subjective, labour intensive, and requires domain-specific expertise. Automated data-driven metrics can alleviate these difficulties, as demonstrated by existing machine learning instrument tracking models. However, these models are tested on limited datasets of laparoscopic surgery, with a focus on isolated tasks and robotic surgery.
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