Because change is ubiquitous in healthcare, clinicians must constantly make adaptations to their practice to provide the highest quality care to patients. In a previous article, Cutrer et al. described a metacognitive approach to learning based on self-regulation, which facilitates the development of the Master Adaptive Learner (MAL). The MAL process helps individuals to cultivate and demonstrate adaptive expertise, allowing them to investigate new concepts (learn) and create new solutions (innovate). An individual's ability to learn in this manner is driven by several internal characteristics and is also impacted by numerous aspects of their context. In this article, the authors examine the important internal and contextual factors that can impede or foster Master Adaptive Learning.
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http://dx.doi.org/10.1080/0142159X.2018.1484560 | DOI Listing |
J Phys Ther Educ
January 2025
Emily N. Getz is the director of outpatient therapy services and doctor of science in physical therapy program at the Bellin College, 3201 Easton Rd, Green Bay, WI Please address all correspondence to Emily N. Getz.
Introduction: Physical therapy education best practice includes the development of adaptive lifelong learners because of a constantly changing health care landscape. The purpose of this study was to identify how self-directed learning (SDL) changes in traditional Doctor of Physical Therapy (DPT) students over the course of the didactic curriculum.
Review Of Literature: The Master Adaptive Learning (MAL) framework has been proposed as a framework that physical therapy educators adopt to create and educate physical therapists who embrace continuous change and build a culture of creativity and innovation.
Disaster Med Public Health Prep
January 2025
Medical University of South Carolina, Charleston, SC, USA.
Stat Biopharm Res
November 2023
Department of Biostatistics, CB #7420, the University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599-7420, USA.
In a multi-arm trial with predefined subgroups for each intervention to target, it is often desirable to enrich assignment to an intervention by enrolling more biomarker-positive participants to the intervention. We describe how to implement a biased coin design to achieve desired allocation ratios among interventions and between the number of biomarker-positive and biomarker-negative participants assigned to each intervention. We illustrate the proposed method with the randomization algorithm implemented in the Precision Interventions for Severe and/or Exacerbation-prone Asthma (PrecISE) trial.
View Article and Find Full Text PDFLight Sci Appl
January 2025
State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics, Peking University, Beijing, 100871, China.
Metamaterials have revolutionized wave control; in the last two decades, they evolved from passive devices via programmable devices to sensor-endowed self-adaptive devices realizing a user-specified functionality. Although deep-learning techniques play an increasingly important role in metamaterial inverse design, measurement post-processing and end-to-end optimization, their role is ultimately still limited to approximating specific mathematical relations; the metamaterial is still limited to serving as proxy of a human operator, realizing a predefined functionality. Here, we propose and experimentally prototype a paradigm shift toward a metamaterial agent (coined metaAgent) endowed with reasoning and cognitive capabilities enabling the autonomous planning and successful execution of diverse long-horizon tasks, including electromagnetic (EM) field manipulations and interactions with robots and humans.
View Article and Find Full Text PDFInt Immunopharmacol
December 2024
Italian Scientific Society of Oxygen-Ozone Therapy (SIOOT) and High Master School of Oxygen-Ozone Therapy, University of Pavia, Italy.
The action of ozone in medicine is a subject of interest and lively, controversial debates. Its mechanisms of action are still far from fully understood. However, it is possible that ozone triggers a series of dynamics in living organisms related to chaos, multi-stable phenomena, and oscillatory processes.
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