Evidence map›Paper›PMID 34249206›Full record

ArticleCanadian medical education journal2021

Quick Response codes for virtual learner evaluation of teaching and attendance monitoring.

Roxana Mo, Emily Wright, Iain MacGarrow, Sangeeta Pathak

Abstract read
In one paragraph

Article in Canadian medical education journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Writing, reading, and critiquing reviews.Canadian medical education journal · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Roxana MoMid and South Essex NHS Foundation Trust, UK.
Emily WrightLister Hospital, East and North Hertfordshire NHS Trust, UK.
Iain MacGarrowBlandford Medical Centre, Braintree, UK.
Sangeeta PathakHinchingbrooke Hospital, North West Anglia NHS Trust, Huntingdon, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Implication Statement Monitoring attendance and obtaining timely learner evaluations for virtual teaching sessions can be challenging. At our Obstetrics and Gynecology webinar programme, we have utilised Quick Response (QR) codes this purpose. Following each session, attendees scan an on-screen QR code which links to an online evaluation form and registers their attendance. Feedback can therefore be obtained quickly, is scalable to large participant numbers and is securely stored in digital format. QR reader applications are widely available and cost-free, which makes this technique accessible for learners. Using QR codes for teaching evaluation is simple and could be adopted across many educational applications. Énoncé des implications de la recherche Contrôler la présence des étudiants aux cours en ligne et obtenir en temps utile leur évaluation des séances d'enseignement virtuelles peut constituer un défi. Dans notre programme de webinaires en obstétrique et gynécologie, nous le faisons à l'aide de codes de réponse rapide (codes QR). Après chaque séance, les participants scannent un code QR qui apparaît sur leur écran; la lecture du code permet de confirmer leur présence et renvoie à un formulaire d'évaluation en ligne. Ce mécanisme rend possible la rétroaction rapide, la participation d'un grand nombre de personnes et la conservation sécuritaire de l'information en format numérique. Les applications de lecture de codes QR sont largement disponibles et gratuites, et donc accessibles aux étudiants. L'utilisation des codes QR pour évaluer les cours est simple et elle peut être intégrée dans de nombreuses applications éducatives.

Identifiers

PMID34249206
PMCPMC8263033

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.