ArticleCureus2024
Deciphering the Nexus: Exploring Learning Styles and Academic Success Among Medical Students Through a Comprehensive Study.
Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Relationship between the learning gains and learning style preferences among students from the school of medicine and health sciences.BMC medical education · 2025Article
- The Relationship Between Learning and Thinking Styles and the Performance of Female Pharmacy Students in an Anatomy Course.Advances in medical education and practice · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the dynamic landscape of medical education, recognizing and catering to the diverse learning styles of students are pivotal for fostering academic success. This study investigates the intricate relationship between learning styles and academic performance among medical students. A sample comprising 201 second-year Bachelor of Medicine and Bachelor of Surgery (MBBS) students from two batches participated in this cross-sectional study. Utilizing the Grasha-Riechmann Student Learning Style Scales, students were categorized into six distinct learning styles: independent, avoidant, collaborative, dependent, competitive, and participatory. Academic performance was assessed through cumulative scores at the end of the academic year. Statistical analyses, including descriptive statistics, Spearman's correlation analysis, and the Kruskal-Wallis H test, were conducted using IBM SPSS Statistics for Windows, Version 25, (Released 2017; IBM Corp., Armonk, New York, United States). The findings revealed a rich diversity of learning styles among medical students, with independent learning emerging as the most prevalent style. However, intriguingly, no statistically significant difference in academic performance was discerned across the various learning styles. Nonetheless, correlation analysis uncovered weak positive correlations between independent, dependent, and participatory learning styles with academic performance, while an equally weak negative correlation was observed for the avoidant style. These results underscore the necessity for tailored educational strategies that can accommodate the heterogeneous learning preferences exhibited by medical students. While certain learning styles may be favoured by students, their adoption does not guarantee academic success. Thus, educators are urged to embrace flexible teaching methodologies to accommodate the diverse learning styles present within medical education, ultimately fostering student engagement and achievement. This study illuminates the imperative of understanding and addressing diverse learning styles among medical students, laying the foundation for further research into optimizing teaching methodologies in medical education.
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Registered trials
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.