Online supervision at the university - A comparative study of supervision on student assignments face-to-face and online

Through an empirical study of supervision on student assignments at the university across face-to-face and online settings, we show firstly the limiting implications of traditional dichotomies between face-to-face and online supervision. Secondly we show that more attention must be given to the way different digital tools influence the supervisory dialogue. These findings illustrate a form of ‘torn pedagogy’; that online tools and platforms destabilize and tear traditional understandings of supervision pedagogy apart. Also we forge a new concept of “format supervision” that enables supervisors to understand and reflect their supervision practice as a deliberate choice between face-to-face and online formats

Nærvær på afstand : En undersøgelse af asynkron, mundtlig vejledning og feedback

Artiklen beskriver en kvalitativ undersøgelse af brugen af asynkron, tekstindlejret, mundtlig vejledning og feedback på en bachelor- og kandidatuddannelse på et dansk universitet. Vi har undersøgt, hvordan det pædagogiske og mellemmenneskelige nærvær i den faglige vejledning og feedback kan bevares og styrkes selv under ændrede fysiske og digitale vilkår. Vi sætter særligt fokus på betydningen af ”stemme” som et element af digitalt understøttet vejledning og feedback, og vi undersøger dermed, hvordan kropslighed og personligt nærvær digitalt kan indlejres i asynkrone vejledningsforløb. Vi ønsker at supplere forskningen i multimodalitet i vejledning og kommunikation ved at undersøge, om færre modaliteter (i dette tilfælde tekst og lyd kombineret) samt det at udelade videodimensionen fra vejledningen kan give en skærpet oplevelse af vejleders og studerendes personlige og faglige stemmer, som kan danne grundlag for en anderledes konstruktiv form for lytning og opmærksomhed

Higher Education Futures:Part 5

In this section, five authors reflect on Sue Wright's academic trajectory, her work in creating disciplinary and interdisciplinary networks and her engagement – as both an activist and scholar – in institutional change-making. They also reflect on her research on university reform, neoliberalisation and higher education futures

Et individ gror i fællesskabets have

Artiklens formål er at give et styrket indblik i, hvad idrætsefterskoleelever oplever som det særlige ved et efterskoleophold. Formålet er også at komme nærmere på, hvilken rolle idræt spiller i skabelsen af det særlige ved et efterskoleophold. I artiklen er der fokus på den idrætslige praksis i den boldsspilsrelaterede linjefagsundervisning og fællesgymnastik. Artiklen bygger på resultater fra Forskningsinitiativet for Idrætsefterskoler, som er et samarbejde mellem FIIBL og tre idrætsefterskoler. I artiklen gennemføres en tværgående analyse af en spørgeskemaundersøgelse med fundene fra seks kvalitative kandidatspecialer fra Idræt og Sundhedsuddannelserne på SDU

"Vi er rigtig meget ens": Peer-dynamik i samarbejdet mellem specialeskrivende par

Fra 2015-2018 er antallet af parspecialer på Faculty of Arts (Arts) på Aarhus Universitet steget med næsten 300%. Der foreligger ikke systematisk forskning i, hvorfor der er en stigning, eller hvilke implikationer denne ændrede praksis har for hverken de studerendes læring eller vejledningen. Med afsæt i en Bakhtinsk forståelse af dialog undersøger vi, hvordan specialepars peer-dynamikker influerer på deres oplevelse af samarbejds- og læreprocesser. Empirien stammer fra et longtitudionelt studie, hvor fire specialepar har reflekteret på sammen på deres smartphones sammen tre gange i deres skriveproces. Analyserne viser, hvordan parrene i deres dialog løbende forhandler deres relation og faglighed, uden at de tilsyneladende undersøger de spændinger, som opstår undervejs i skriveforløbet. Vi konkluderer, at det kan øge de studerendes selvstændighed at skrive speciale sammen i par, da parret i et forpligtende samarbejde må træffe en række valg sammen, men tosomheden er også sårbar og kan blive et værn mod at undersøge den flerstemmighed, der i en Bakhtinsk forståelse er en forudsætning for læring

An open-source nnU-net algorithm for automatic segmentation of MRI scans in the male pelvis for adaptive radiotherapy

BackgroundAdaptive MRI-guided radiotherapy (MRIgRT) requires accurate and efficient segmentation of organs and targets on MRI scans. Manual segmentation is time-consuming and variable, while deformable image registration (DIR)-based contour propagation may not account for large anatomical changes. Therefore, we developed and evaluated an automatic segmentation method using the nnU-net framework.MethodsThe network was trained on 38 patients (76 scans) with localized prostate cancer and tested on 30 patients (60 scans) with localized prostate, metastatic prostate, or bladder cancer treated at a 1.5 T MRI-linac at our institution. The performance of the network was compared with the current clinical workflow based on DIR. The segmentation accuracy was evaluated using the Dice similarity coefficient (DSC), mean surface distance (MSD), and Hausdorff distance (HD) metrics.ResultsThe trained network successfully segmented all 600 structures in the test set. High similarity was obtained for most structures, with 90% of the contours having a DSC above 0.9 and 86% having an MSD below 1 mm. The largest discrepancies were found in the sigmoid and colon structures. Stratified analysis on cancer type showed that the best performance was seen in the same type of patients that the model was trained on (localized prostate). Especially in patients with bladder cancer, the performance was lower for the bladder and the surrounding organs. A complete automatic delineation workflow took approximately 1 minute. Compared with contour transfer based on the clinically used DIR algorithm, the nnU-net performed statistically better across all organs, with the most significant gain in using the nnU-net seen for organs subject to more considerable volumetric changes due to variation in the filling of the rectum, bladder, bowel, and sigmoid.ConclusionWe successfully trained and tested a network for automatically segmenting organs and targets for MRIgRT in the male pelvis region. Good test results were seen for the trained nnU-net, with test results outperforming the current clinical practice using DIR-based contour propagation at the 1.5 T MRI-linac. The trained network is sufficiently fast and accurate for clinical use in an online setting for MRIgRT. The model is provided as open-source

Online supervision at the university - A comparative study of supervision on student assignments face-to-face and online

Through an empirical study of supervision on student assignments at the university across face-to-face and online settings, we show firstly the limiting implications of traditional dichotomies between face-to-face and online supervision. Secondly we show that more attention must be given to the way different digital tools influence the supervisory dialogue. These findings illustrate a form of ‘torn pedagogy’; that online tools and platforms destabilize and tear traditional understandings of supervision pedagogy apart. Also we forge a new concept of “format supervision” that enables supervisors to understand and reflect their supervision practice as a deliberate choice between face-to-face and online formats