Evidence map›Paper›PMID 40612518›Full record

ArticleAdvances in medical education and practice2025

Enhancing Practical Skills in Medical Education: Evaluating the Efficacy of Virtual Simulation Teaching Through Kolb's Experiential Learning Model.

Hongmei Wei, Ning Sheng, Xia Wang, Zhigong Zhang

Abstract read
In one paragraph

Article in Advances in medical education and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Benefits of Utilizing Experiential Learning in a Medical School Cancer Survivorship Course.Journal of cancer education : the official journal of the American Association for Cancer Education · 2026
    Article
  3. Article
  4. Article
  5. Review
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.

Hongmei WeiThe First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230000, People's Republic of China.
Ning ShengThe First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230000, People's Republic of China.
Xia WangThe First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230000, People's Republic of China.
Zhigong ZhangThe First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study examines the efficacy of virtual simulation pedagogy grounded in Kolb's experiential learning model to enhance clinical practice skills and learning experiences among medical undergraduates. Methods: A cohort of 527 medical undergraduates were randomly assigned to a traditional teaching group (N = 264) or a virtual simulation teaching group based on Kolb's experiential learning model (N = 263). Comparative analysis was conducted through practical skill assessments, self-evaluations, and course satisfaction surveys. Results: The results demonstrated that the virtual simulation teaching group based on Kolb's experiential learning model significantly outperformed the traditional teaching group in both practical skills and self-assessment (P<0.01). In addition, this group shows significantly high levels of course satisfaction. Conclusion: Virtual simulation teaching based on Kolb's experiential learning model effectively enhances medical undergraduate practical competencies and learning motivation, providing a viable approach for optimizing medical education methodologies.

Indexed as

Kolb’s experiential learning modelmedical educationpractical skillsvirtual simulation teaching

Identifiers

PMID40612518
PMCPMC12223266

What OpenQuestion holds

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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.