Evidence map›Paper›PMID 39280713›Full record

ArticleJournal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience2024

Building Community and Developing Professionally through FUN Final Friday Sessions.

Shannon Eaton, David W Donley, Barbara Lom, Amy Jo Stavnezer

Abstract read
In one paragraph

Article in Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience, 2024. 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. Proceedings of the 2023 Faculty for Undergraduate Neuroscience Workshop at Western Washington University, Bellingham, WA, July 27-30, 2023.Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience · 2024
    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.

Shannon EatonPsychology Department, Arizona State University, Tempe, AZ.
David W DonleyBiology Department, Harding University, Searcy, AR.
Barbara LomBiology Department and Neuroscience Program, Davidson College, Davidson, NC.
Amy Jo StavnezerPsychology Department and Neuroscience Program, The College of Wooster, Wooster, OH.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

FUN Final Fridays (FFFs) are a professional development effort resulting from a pandemic-inspired virtual pedagogical meeting. Over the past three academic years, Faculty for Undergraduate Neuroscience (FUN) has hosted FFFs as monthly professional development sessions. These sessions offer a mechanism to address current issues in higher education with emphasis on topics relevant to neuroscience educators. Broadly, topics covered in FFF sessions fall under three areas: a faculty focus that addresses issues of wellness and professional opportunity; a diversity, equity, inclusion, and belonging focus that addresses how to advocate for justice through education; and a pedagogical focus that address classroom strategies and issues that affect student learning. We share here our experiences and lessons learned regarding selecting topics, identifying facilitators, navigating timing across a semester, and engaging participants with a goal of providing a framework for successful professional development so that other institutional and departmental leaders can contribute meaningfully to the growth and development of their colleagues.

Indexed as

Building CommunityDEIBFacultyPedagogyProfessional DevelopmentVirtual Conversations

Identifiers

PMID39280713
PMCPMC11396187

What OpenQuestion holds

Textmetadata
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.