Evidence map›Paper›PMID 34014963›Full record

ArticlePloS one2021

Differentiating the learning styles of college students in different disciplines in a college English blended learning setting.

Jie Hu, Yi Peng, Xueliang Chen, Hangyan Yu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. 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
13.3field-weighted citation impact, top 1% 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

5 citing papers in PubMed, 60 citations in OpenAlex.

  1. [Relationship between cerebral dominance and learning styles in Anesthesiology residents].Revista medica del Instituto Mexicano del Seguro Social · 2026
    Observational
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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

4 authors at 1 institution in 1 country.

Jie HuDepartment of Linguistics, School of International Studies, Zhejiang University, Hangzhou City, Zhejiang Province, China.ORCID 0000-0003-2219-2587
Yi PengDepartment of Linguistics, School of International Studies, Zhejiang University, Hangzhou City, Zhejiang Province, China.ORCID 0000-0002-4268-1655
Xueliang ChenDepartment of Linguistics, School of International Studies, Zhejiang University, Hangzhou City, Zhejiang Province, China.
Hangyan YuDepartment of Linguistics, School of International Studies, Zhejiang University, Hangzhou City, Zhejiang Province, China.
Zhejiang International Studies University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Learning styles are critical to educational psychology, especially when investigating various contextual factors that interact with individual learning styles. Drawing upon Biglan's taxonomy of academic tribes, this study systematically analyzed the learning styles of 790 sophomores in a blended learning course with 46 specializations using a novel machine learning algorithm called the support vector machine (SVM). Moreover, an SVM-based recursive feature elimination (SVM-RFE) technique was integrated to identify the differential features among distinct disciplines. The findings of this study shed light on the optimal feature sets that collectively determined students' discipline-specific learning styles in a college blended learning setting.

Indexed as

LearningSupport Vector MachineAdolescentAdultFemaleHumansLanguageMaleStudentsUniversitiesYoung Adult

Identifiers

PMID34014963
PMCPMC8139239
OpenAlexW3161731882

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.