Evidence map›Paper›PMID 34581619›Full record

ArticleAdvances in physiology education2021

Physiology labs during a pandemic: What did we learn?

Xinnian Chen, Catherine B Kirn-Safran, Talitha van der Meulen, Karen L Myhr, Alan H Savitzky, Melissa A Fleegal-DeMotta

Abstract readEditorial
In one paragraph

Article in Advances in physiology education, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

6 authors.

Xinnian ChenDepartment of Physiology and Neurobiology, University of Connecticut, Storrs, Connecticut.ORCID 0000-0002-3046-4282
Catherine B Kirn-SafranDepartment of Biology, Widener University, Chester, Pennsylvania.ORCID 0000-0002-5069-4229
Talitha van der MeulenDepartment of Neurobiology, Physiology, and Behavior, College of Biological Sciences, University of California, Davis, Davis, California.ORCID 0000-0002-2150-9258
Karen L MyhrDepartment of Biological Sciences, Wayne State University, Detroit, Michigan.
Alan H SavitzkyDepartment of Biology, Utah State University, Logan, Utah.ORCID 0000-0002-3172-9924
Melissa A Fleegal-DeMottaDepartment of Science and Mathematics, Biology, Clarke University, Dubuque, Iowa.ORCID 0000-0002-7515-1060

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article captures a collective reflection on the successes and challenges we experienced when teaching physiology laboratories online during the COVID-19 pandemic. Physiology instructors from six institutions discussed their own efforts to redesign meaningful physiology laboratories that could be taught remotely, as the nation scrambled to respond to the sudden shift out of the classroom. Despite the complexity of this task, clear themes emerged as our courses transitioned to an online format in spring 2020 and were solidified in the fall of 2020. This article reflects on the history, features, benefits, and challenges of current laboratory teaching when applying a scientific teaching approach to facilitate the redesign process. We believe online networks like ours can facilitate information sharing, promote innovations, and provide support for instructors. The insights we gained through this collaboration will influence our thinking about the future of the physiology lab, whether online or in person.

Indexed as

COVID-19Education, DistanceHumansPandemicsSARS-CoV-2StudentsCOVID-19online learningphysiology laboratoryremote instructionscientific teaching

Identifiers

PMID34581619
PMCPMC8486431

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.