Evidence map›Paper›PMID 36516151›Full record

ArticlePloS one2022

Near-peer teaching in problem-based learning: Perspectives from tutors and tutees.

Binbin Zheng, Zilu Wang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 26 citations in OpenAlex.

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  7. Comparison of Practical Skills Teaching by Near-Peers and Faculty.Academic medicine : journal of the Association of American Medical Colleges · 2025
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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

2 authors at 1 institution in 1 country.

Binbin ZhengBau Institute of Medical and Health Sciences Education, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong.ORCID 0000-0001-6160-0104
Zilu WangBau Institute of Medical and Health Sciences Education, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong.
University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis study explores how tutors and tutees perceived their teaching and learning experience in a near-peer teaching programme within a formal undergraduate medical-education curriculum.

methodsThis mixed-methods study was conducted in an Asian medical school. First, a survey was administered to two groups of students, one that had been tutored by near-peers, and another with faculty tutors. Then, the near-peer tutors were interviewed and wrote reflection essays that the researchers collected. Quantitative analysis was used to analyse the survey responses, and qualitative analysis to analyse the interview and reflection data.

resultsOur study found no difference between near-peer tutees' and faculty tutees' perceptions of either tutor facilitation or tutor behaviours. Also, when near-peer tutors explained how their experience of delivering tutoring had influenced their professional-identity formation, they highlighted that they had gained skills important to their future careers as medical educators.

conclusionIntegrating near-peer teaching into undergraduate medical curricula could be beneficial to both tutors and tutees because of the social, cognitive, and professional congruence between these two groups, and due to its likely positive influence on their professional-identity formation.

Indexed as

Education, Medical, UndergraduateStudents, MedicalCurriculumHumansPeer GroupProblem-Based LearningTeaching

Identifiers

PMID36516151
PMCPMC9749983
OpenAlexW4311439493

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.