Scott R Small, Shing Chan, Rosemary Walmsley, Lennart von Fritsch, Aidan Acquah, Gert Mertes, Benjamin G Feakins, Andrew Creagh, Adam Strange, Charles E Matthews, David A Clifton, Andrew J Price, Sara Khalid, Derrick Bennett, Aiden Doherty
Self-Supervised Machine Learning to Characterise Step Counts from Wrist-Worn Accelerometers in the UK Biobank
Medicine and science in sports and exercise
paper describes lessons learned covid19 pandemic study conducted group clinical teachers undergraduate dental students faculty dentistry oral craniofacial sciences fodocs kings college london use combination remote online inperson teaching methods resumed june 2020 narrative research participants shared experiences delivering online clinical workshops previous experiences delivering facetoface sessions online pandemic conducted remote interviews participants via video conferencing recorded transcribed analysed using thematic analysis narrative accounts revealed commonalities organised seven themes highlighting challenges encountered pandemic providing insights addressing different curricular constraints concerns utilising various delivery modes emergency situations pandemics study concluded students teachers benefit dissociating clinical learning clinical treatment sessions focus educational intent content applying chairside patients throughout course students teachers challenged lack engagement addition important examine online fatigue highlighted students teachers identify ways improve time literacy facilitation create conducive learning environment