Evidence map›Paper›PMID 32822277›Full record

ArticleCBE life sciences education2020

Applying Experiential Learning to Career Development Training for Biomedical Graduate Students and Postdocs: Perspectives on Program Development and Design.

Audra Van Wart, Theresa C O'Brien, Susi Varvayanis, Janet Alder, Jennifer Greenier, Rebekah L Layton, C Abigail Stayart, Inge Wefes, Ashley E Brady

Open access · diamondAbstract read
In one paragraph

Article in CBE life sciences education, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
8.8field-weighted citation impact, top 2% of its field
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

15 citing papers in PubMed, 62 citations in OpenAlex.

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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

9 authors at 9 institutions in 2 countries.

Audra Van WartFralin Biomedical Research Institute and Virginia Tech Carilion School of Medicine, Virginia Tech, Roanoke, VA 24016.
Theresa C O'BrienUniversity of California San Francisco, San Francisco, CA 94143.
Susi VarvayanisCornell University, Ithaca, NY 14853.
Janet AlderRutgers University, Rutgers, NJ 08854.
Jennifer GreenierUniversity of California Davis, Davis, CA 95616.
Rebekah L Layton**University of North Carolina, Chapel Hill, Chapel Hill, NC 27599.
C Abigail StayartUniversity of Chicago, Chicago, IL 60618.
Inge WefesUniversity of Colorado Denver-Anschutz Medical Campus, Aurora, CO 80045.
Ashley E BradyVanderbilt University School of Medicine, Nashville, TN 37232.
Biomedical Research Institute · USCornell University · USRutgers Sexual and Reproductive Health and Rights · NLUniversity of California, Davis · USUniversity of California, San Francisco · USUniversity of Chicago · USUniversity of Colorado Anschutz Medical Campus · USUniversity of North Carolina at Chapel Hill · USVanderbilt University · US

Funding

Vanderbilt ASPIRE ProgramDP7OD018423 · OD · VANDERBILT UNIVERSITY · PI CHALKLEY, G. ROGER, GOULD, KATHLEEN L · 2013 to 2017
$3.0M
Interdisciplinary Job Opportunities for Biomedical Scientists - iJOBSDP7OD020314 · OD · RUTGERS, THE STATE UNIV OF N.J. · PI MILLONIG, JAMES H., YARMUSH, MARTIN L · 2014 to 2018
$1.9M
MyChoiceDP7OD020316 · OD · UNIVERSITY OF CHICAGO · PI ADAMS, ERIN JUNE, COHEN, ELLEN · 2014 to 2018
$1.9M
Mentorship and Development Program for Biomedical TraineesDP7OD018428 · OD · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI FRIEDLANDER, MICHAEL J · 2013 to 2017
$1.8M
Cornell University BEST Training ProgramDP7OD018425 · OD · CORNELL UNIVERSITY · PI AUGUST, AVERY · 2013 to 2017
$1.8M
UNC ImPACT Grant (Immersion Program to Advance Career Training)DP7OD020317 · OD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BRANDT, PATRICK DANIEL, BRENNWALD, PATRICK J · 2014 to 2018
$1.8M
Innovative Biomedical Graduate Training For Workforce ReadinessDP7OD018422 · OD · UNIVERSITY OF COLORADO DENVER · PI WEFES, INGE · 2013 to 2017
$1.7M
Motivating INformed Decisions (MIND): Careers for the Future Biomedical WorkforceDP7OD018420 · OD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DORMAN, JENNIE BETH, LINDSTAEDT, WILLIAM · 2013 to 2017
$1.6M
Frontiers of University Training to Unlock the Research Enterprise (FUTURE)DP7OD018426 · OD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BERGLUND, LARS F, HARGADON, ANDREW BERNARD · 2013 to 2017
$1.5M
NIH HHS DP7 OD018420NIH HHS DP7 OD018422NIH HHS DP7 OD018423NIH HHS DP7 OD018425NIH HHS DP7 OD018426NIH HHS DP7 OD018428NIH HHS DP7 OD020314NIH HHS DP7 OD020316NIH HHS DP7 OD020317
6 · The paper itself

Abstract

Experiential learning is an effective educational tool across many academic disciplines, including career development. Nine different institutions bridged by the National Institutes of Health Broadening Experiences in Scientific Training Consortium compared their experiments in rethinking and expanding training of predoctoral graduate students and postdoctoral scholars in the biomedical sciences to include experiential learning opportunities. In this article, we provide an overview of the four types of experiential learning approaches our institutions offer and compare the learning objectives and evaluation strategies employed for each type. We also discuss key factors for shaping experiential learning activities on an institutional level. The framework we provide can help organizations determine which form of experiential learning for career training might best suit their institutions and goals and aid in the successful design and delivery of such training.

Indexed as

Career ChoiceProblem-Based LearningProgram DevelopmentStudentsBiomedical ResearchEmploymentFacultyGeographyHumansInternship and ResidencyResearch Personnel

Identifiers

PMID32822277
PMCPMC8711830
OpenAlexW3080661105

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.