Simulation as a pedagogical method in a lifelong learning perspective.

  • Funded by The Research Council of Norway (RCN)
  • Total publications:18 publications

Grant number: 328920

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2021
    2022
  • Known Financial Commitments (USD)

    $14,101.56
  • Funder

    The Research Council of Norway (RCN)
  • Principal Investigator

    Kari Røykenes
  • Research Location

    Norway
  • Lead Research Institution

    VID VITENSKAPELIGE HØGSKOLE AS, VID HARALDSPLASS
  • Research Priority Alignment

    N/A
  • Research Category

    Secondary impacts of disease, response & control measures

  • Research Subcategory

    Indirect health impacts

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

After a long period of distance and home office for part of the sector and increased activity and restructuring of activities for another part of the sector, it will be useful to have a foot on the ground now. We need both to look back at the experiences we have gained within the education and health sectors when it comes to changing studies and practice during the COVID pandemic, and look ahead to discuss how we can use these experiences in the future. We have seen how nursing education has had to change, shift or shorten practice courses and how the health services have had to turn around and adapt their operations to new realities that came with the pandemic. How did we do this? What role did or could simulation training play in such a situation? What experiences have you gained that we can share, learn from and take with us further? We want to discuss in more detail how simulation can function as a tool for skill enhancement and lifelong learning both in an extraordinary situation and in a longer perspective with more ordinary operations. The pandemic experiences have again shown how important it is to work cross-functionally, carry out mass training and practice for unforeseen situations. Can we work even more systematically with this in collaboration between education and the health sector, and at the same time take a step further where the theory-practice gap is illuminated from both the education side and the practice side?

Publicationslinked via Europe PMC

Predicting Knee Osteoarthritis Severity from Radiographic Predictors: Data from the Osteoarthritis Initiative.

Two-Stage Classification of Future Knee Osteoarthritis Severity After 8 Years Using MRI: Data from the Osteoarthritis Initiative.

X-ray with finite element analysis is a viable alternative for MRI to predict knee osteoarthritis: Data from the Osteoarthritis Initiative.

Predicting Knee Joint Contact Force Peaks During Gait Using a Video Camera or Wearable Sensors.

Knee-Loading Predictions with Neural Networks Improve Finite Element Modeling Classifications of Knee Osteoarthritis: Data from the Osteoarthritis Initiative.

Site-specific elastic and viscoelastic biomechanical properties of healthy and osteoarthritic human knee joint articular cartilage.

Visible and Near-Infrared Spectroscopy Enables Differentiation of Normal and Early Osteoarthritic Human Knee Joint Articular Cartilage.

Prediction of Knee Joint Compartmental Loading Maxima Utilizing Simple Subject Characteristics and Neural Networks.

Towards a Transferable Modeling Method of the Knee to Distinguish Between Future Healthy Joints from Osteoarthritic Joints: Data from the Osteoarthritis Initiative.