Evidence map›Paper›PMID 39625749›Full record

ArticleJournal of medical Internet research2024

Reflections From the Pandemic: Is Connectivism the Panacea for Clinicians?

Jennifer Benjamin, Tyson Pillow, Heather MacNeill, Ken Masters, Anoop Agrawal, Neil Mehta

Abstract read
In one paragraph

Article in Journal of medical Internet research, 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. 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.

Jennifer Benjamin *Texas Children's Hospital, Baylor College of Medicine, Houston, TX, United States.ORCID 0000-0001-6085-5973
Tyson PillowDepartment of Emergency Medicine, Baylor College of Medicine, Houston, TX, United States.ORCID 0000-0001-7584-5452
Heather MacNeillDepartment of Medicine, Continuing Professional Development, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.ORCID 0000-0001-9842-3578
Ken MastersMedical Informatics, Sultan Qaboos University, Alkhod, Oman.ORCID 0000-0003-3425-5020
Anoop AgrawalDepartment of Internal Medicine Pediatrics, Baylor College of Medicine, Houston, TX, United States.ORCID 0000-0003-1359-0209
Neil Mehta *Department of Internal Medicine, Lerner College of Medicine, Cleveland Clinic, Cleveland, OH, United States.ORCID 0000-0001-8342-4252

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic and the recent increased interest in generative artificial intelligence (GenAI) highlight the need for interprofessional communities' collaboration to find solutions to complex problems. A personal narrative experience of one of the authors compels us to reflect on current approaches to learning and knowledge acquisition and use solutions to the challenges posed by GenAI through social learning contexts using connectivism. We recognize the need for constructivism and experiential learning for knowledge acquisition to establish foundational understanding. We explore how connectivist approaches can enhance traditional constructivist paradigms amid rapidly changing learning environments and online communities. Learning in connectivism includes interacting with experts from other disciplines and creating nodes of accurate and accessible information while distinguishing between misinformation and accurate facts. Autonomy, connectedness, diversity, and openness are foundational for learners to thrive in this learning environment. Learning in this environment is not just acquiring new knowledge as individuals but being connected to networks of knowledge, enabling health professionals to stay current and up-to-date. Existing online communities with accessible GenAI solutions allow for the application of connectivist principles for learning and knowledge acquisition.

Indexed as

Artificial IntelligenceCOVID-19PandemicsHealth PersonnelHumansSARS-CoV-2Social Learningairborne diseaseautonomyclinicianconnectivismCOVID-19diversityGAIgenerative artificial intelligencehealth carehealth care communityinformationlearninglearning frameworklearning theorymisinformationpanacea

Identifiers

PMID39625749
PMCPMC11653038

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.